From 4a2242de59f414509fc1672f41e807d81263d441 Mon Sep 17 00:00:00 2001 From: cafriedb Date: Tue, 6 Aug 2024 14:43:10 +0200 Subject: [PATCH] adapted methods, created module files --- dev/activity_filter.py | 151 ++++ dev/cpc_inputs.py | 110 +++ dev/functions_v2.py | 103 ++- dev/lca_scores.py | 106 +++ dev/methods.py | 58 ++ dev/plots.py | 316 ++++++++ dev/test_function_flow_v4.ipynb | 1234 ++++++++++++++----------------- 7 files changed, 1363 insertions(+), 715 deletions(-) create mode 100644 dev/activity_filter.py create mode 100644 dev/cpc_inputs.py create mode 100644 dev/lca_scores.py create mode 100644 dev/methods.py create mode 100644 dev/plots.py diff --git a/dev/activity_filter.py b/dev/activity_filter.py new file mode 100644 index 0000000..ff90eee --- /dev/null +++ b/dev/activity_filter.py @@ -0,0 +1,151 @@ +# Imports +# ------- + +import yaml + +# Sector filter functions from premise +# --------------------------------------------------- + +def act_fltr( + database: list, + fltr = None, + mask = None, +): + """Filter `database` for activities_list matching field contents given by `fltr` excluding strings in `mask`. + `fltr`: string, list of strings or dictionary. + If a string is provided, it is used to match the name field from the start (*startswith*). + If a list is provided, all strings in the lists are used and dataframes_dict are joined (*or*). + A dict can be given in the form : to filter for in . + `mask`: used in the same way as `fltr`, but filters add up with each other (*and*). + `filter_exact` and `mask_exact`: boolean, set `True` to only allow for exact matches. + + :param database: A lice cycle inventory database + :type database: brightway2 database object + :param fltr: value(s) to filter with. + :type fltr: Union[str, lst, dict] + :param mask: value(s) to filter with. + :type mask: Union[str, lst, dict] + :return: list of activity data set names + :rtype: list + + """ + if fltr is None: + fltr = {} + if mask is None: + mask = {} + + # default field is name + if isinstance(fltr, (list, str)): + fltr = {"name": fltr} + if isinstance(mask, (list, str)): + mask = {"name": mask} + + assert len(fltr) > 0, "Filter dict must not be empty." + + # find `act` in `database` that match `fltr` + # and do not match `mask` + filters = database + for field, value in fltr.items(): + if isinstance(value, list): + for val in value: + filters = [a for a in filters if val in a[field]] + + #filters.extend([ws.either(*[ws.contains(field, v) for v in value])]) + else: + filters = [ + a for a in filters if value in a[field] + ] + + #filters.append(ws.contains(field, value)) + + + if mask: + for field, value in mask.items(): + if isinstance(value, list): + for val in value: + filters = [f for f in filters if val not in f[field]] + #filters.extend([ws.exclude(ws.contains(field, v)) for v in value]) + else: + filters = [f for f in filters if value not in f[field]] + #filters.append(ws.exclude(ws.contains(field, value))) + + return filters + + +def generate_sets_from_filters(yaml_filepath, database=None) -> dict: + """ + Generate a dictionary with sets of activity names for + technologies from the filter specifications. + + :param filtr: + :func:`activity_maps.InventorySet.act_fltr`. + :return: dictionary with the same keys as provided in filter + and a set of activity data set names as values. + :rtype: dict + """ + + filtr=get_mapping(yaml_filepath, var='ecoinvent_aliases') + + names = [] + + for entry in filtr.values(): + if "fltr" in entry: + if isinstance(entry["fltr"], dict): + if "name" in entry["fltr"]: + names.extend(entry["fltr"]["name"]) + elif isinstance(entry["fltr"], list): + names.extend(entry["fltr"]) + else: + names.append(entry["fltr"]) + + #subset = list( + # ws.get_many( + # database, + # ws.either(*[ws.contains("name", name) for name in names]), + # ) + #) + + subset=[ + a for a in database if any( + + + x in a["name"] for x in names + ) + ] + + + techs = { + tech: act_fltr(subset, fltr.get("fltr"), fltr.get("mask")) + for tech, fltr in filtr.items() + } + + mapping = { + tech: {act for act in actlst} for tech, actlst in techs.items() + } + + + return mapping + +def get_mapping(filepath, var): + """ + Loa a YAML file and return a dictionary given a variable. + :param filepath: YAML file path + :param var: variable to return the dictionary for. + :param model: if provided, only return the dictionary for this model. + :return: a dictionary + """ + + with open(filepath, "r", encoding="utf-8") as stream: + techs = yaml.full_load(stream) + + mapping = {} + for key, val in techs.items(): + if var in val: + mapping[key] = val[var] + + return mapping + + +# Example on how to call the functions to create a set of filtered activities_list +#set_from_fltrs = generate_sets_from_filters(yaml_filepath, database=ei39SSP) + diff --git a/dev/cpc_inputs.py b/dev/cpc_inputs.py new file mode 100644 index 0000000..5be3d61 --- /dev/null +++ b/dev/cpc_inputs.py @@ -0,0 +1,110 @@ + +# Imports +# -------- + +#brightway +import brightway2 as bw +import bw2analyzer as ba + +#common +import pandas as pd +import numpy as np + +#to be completed +import ast + +# Function to generate dataframes containing inputs in cpc format not characterized from an activity list +# Level 2.3 plot dependency +# ------------------------------------------------------------------------------------------------------------------------------------ + +def get_cpc_inputs_of_activities(activities_list, input_type='list'): + + ''' + for param description see function lvl23_plot_input_comparison_plot_no_method + + NOTE: could adapt this function to get the outputs, or create another one. At the moment only inputs are considered. + + ''' + + def activity_list_inputs_cpc(activities_list, input_type): + all_inputs = [] + + if input_type == 'list': + activity_iterator = activities_list + elif input_type == 'dict': + activity_iterator = activities_list.values() + else: + raise ValueError("input_type must be either 'list' or 'dict'") + + for activity in activity_iterator: + inputs_keys = pd.Series({bw.get_activity(exc.input).key: exc.amount for exc in activity.technosphere()}, + name=activity['name'] + ', ' + activity['location']) + + # Adjust the way the key is presented + inputs_keys = inputs_keys.reset_index() + inputs_keys['full_key'] = inputs_keys.apply(lambda row: f"('{row['level_0']}', '{row['level_1']}')", axis=1) + inputs_keys = inputs_keys.drop(['level_0', 'level_1'], axis=1).set_index('full_key') + + # Add empty cpc column and activity information + inputs_keys.insert(0, 'identifier', activity['name'] + ', ' + activity['location']) + inputs_keys.insert(1, 'activity', activity['name']) + inputs_keys.insert(2, 'location', activity['location']) + inputs_keys.insert(3, 'unit', activity['unit']) + inputs_keys.insert(4, 'cpc', None) + + all_inputs.append(inputs_keys) + + # Combine all inputs into a single DataFrame + combined_inputs = pd.concat(all_inputs, axis=0) + + return combined_inputs + + def update_cpc_information(combined_inputs): + for index, row in combined_inputs.iterrows(): + # Transform each key to tuple + tuple_key = ast.literal_eval(index) + + # Get input activity for the key + input_activity = bw.get_activity(tuple_key) + + # Get cpc name for activity + cpc_name = ba.comparisons.get_cpc(input_activity) + + # Store cpc_name in the 'cpc' column of the combined_inputs dataframe + combined_inputs.at[index, 'cpc'] = cpc_name + + return combined_inputs + + def transform_dataframe(combined_inputs): + # Set 'identifier' as the new index and drop the 'full_key' index + combined_inputs = combined_inputs.reset_index().set_index('identifier').drop('full_key', axis=1) + + # Determine the index of the 'unit' column + unit_index = combined_inputs.columns.get_loc('unit') + + # Split the dataframe into two parts + combined_inputs_identifier = combined_inputs.iloc[:, :unit_index+1] + combined_inputs_cpc = combined_inputs.iloc[:, unit_index+1:] + #set index of to 'cpc' in combined_input_cpc + combined_inputs_cpc = combined_inputs_cpc.set_index('cpc') + + # Combine rows with the same index value in combined_inputs_cpc + combined_inputs_cpc = combined_inputs_cpc.groupby(level=0).agg(lambda x: np.sum(x) if x.dtype.kind in 'biufc' else x.iloc[0]) + # Transpose combined_inputs_cpc + combined_inputs_cpc_trans = combined_inputs_cpc.T + + # Merge combined_inputs_identifier and combined_inputs_cpc_trans + result = combined_inputs_identifier.join(combined_inputs_cpc_trans) + result = result.drop_duplicates() + + # Sort dataframe by activity and location aplphabetically and reset the index + result = result.sort_values(by=['activity', 'location']) + result = result.reset_index(drop=True) + return result + + # Execute the workflow + combined_inputs = activity_list_inputs_cpc(activities_list, input_type) + combined_inputs_with_cpc = update_cpc_information(combined_inputs) + final_result = transform_dataframe(combined_inputs_with_cpc) + + return final_result diff --git a/dev/functions_v2.py b/dev/functions_v2.py index 4ac13dc..bf76b5a 100644 --- a/dev/functions_v2.py +++ b/dev/functions_v2.py @@ -187,63 +187,54 @@ def get_mapping(filepath, var): # METHODS # ----------------------------------------------------------------------------- -# Setting up the methods for outlier detection -# --------------------------------------------------------------------- - -def find_and_create_method(criteria, exclude=None): - """ - Find a method based on given criteria and create a Brightway Method object. This will choose the first method. - Thus, filter criteria need to be defined precisely to pick the right method. - - :param criteria: List of strings that should be in the method name - :param exclude: List of strings that should not be in the method name (optional) - :return: Brightway Method object - """ - methods = bw.methods - - # Start with all methods - filtered_methods = methods - - # Apply inclusion criteria - for criterion in criteria: - filtered_methods = [m for m in filtered_methods if criterion in str(m)] - - # Apply exclusion criteria if provided - if exclude: - for exclusion in exclude: - filtered_methods = [m for m in filtered_methods if exclusion not in str(m)] - - # Check if we found exactly one method - if len(filtered_methods) == 0: - raise ValueError("No methods found matching the given criteria.") - elif len(filtered_methods) > 1: - raise ValueError(f"Multiple methods found: {filtered_methods}. Please provide more specific criteria.") - - # Get the first (and only) method - selected_method = filtered_methods[0] - - # Create and return the Brightway Method object storing it in a defined variable outside of the funciton. - return bw.Method(selected_method) - -#NOTE: Would a yaml filter make it easier? OR Could have predefined methods?""" - -# Function for creating method dictionaries which holds method name and unit for later tracking of methods. -# --------------------------------------------------------------------------------------------------------- - -def create_method_dict(selected_methods_list): - ''' - :selected_methods_list: a list of variables which contain the selected methods - - ''' - method_dict = {} - for method in selected_methods_list: - method_dict[method] = { - 'short name': str(method.name[2]), - 'method name': str(method.name), - 'method unit': str(method.metadata['unit']) +# Class for generating method dictionary +# -------------------------------------- +class MethodFinder: + def __init__(self): + self.all_methods = {} + self.method_counter = 0 + + def find_and_create_method(self, criteria, exclude=None, custom_key=None): + methods = bw.methods + # Start with all methods + filtered_methods = methods + # Apply inclusion criteria + for criterion in criteria: + filtered_methods = [m for m in filtered_methods if criterion in str(m)] + # Apply exclusion criteria if provided + if exclude: + for exclusion in exclude: + filtered_methods = [m for m in filtered_methods if exclusion not in str(m)] + # Check if we found exactly one method + if len(filtered_methods) == 0: + raise ValueError("No methods found matching the given criteria.") + elif len(filtered_methods) > 1: + raise ValueError(f"Multiple methods found: {filtered_methods}. Please provide more specific criteria.") + # Get the first (and only) method + selected_method = filtered_methods[0] + # Create the Brightway Method object + method_object = bw.Method(selected_method) + + # Generate a key for storing the method + if custom_key is None: + self.method_counter += 1 + key = f"method_{self.method_counter}" + else: + key = custom_key + + # Store the method object and additional information in the dictionary + self.all_methods[key] = { + 'object': method_object, + 'method name': method_object.name, + 'short name' : method_object.name[2], + 'unit': method_object.metadata.get('unit', 'Unknown') } - - return method_dict + + # Return both the method object and its key + return {key: self.all_methods[key]} + + def get_all_methods(self): + return self.all_methods # ------------------------------------------------------------------------------------------------------------------------------ # CALCULATIONS diff --git a/dev/lca_scores.py b/dev/lca_scores.py new file mode 100644 index 0000000..bdfecbf --- /dev/null +++ b/dev/lca_scores.py @@ -0,0 +1,106 @@ +# imports +# ------- +from premise import * + +#brightway +import brightway2 as bw +import bw2analyzer as ba +import bw2data as bd + +#common +import pandas as pd +import numpy as np + +#plotting +import matplotlib.pyplot as plt +import seaborn as sns + +#to be completed +import ast + + +# Functions for generating lca scores of ecoinvent and premise database to plot their relative changes +# Level 3 plot dependency +# ------------------------------------------------------------------------------------------------------------------------------- + +def calculate_lca_ecoinvent_scores(database, method): + + ecoinvent_scores= {} + ecoinvent_scores['method']=method #save the method used for plotting the data + all_activities=[x for x in database] + + for activity in all_activities: + activity_LCA = bw.LCA({activity:1}, bw.Method(method).name) + activity_LCA.lci() + activity_LCA.lcia() + score=activity_LCA.score + + # Create a tuple key with relevant information + key = (activity['name'], activity['unit'], activity['location'], activity.get('reference product')) + + ecoinvent_scores[key]=score + + return ecoinvent_scores + +def calculate_lca_premise_scores(premise_database, method): + + premise_scores= {} + + premise_scores['method']=method #save the method used for plotting the data + + all_activities=[x for x in premise_database] + + for activity in all_activities: + activity_LCA = bw.LCA({activity:1}, bw.Method(method).name) + activity_LCA.lci() + activity_LCA.lcia() + score=activity_LCA.score + + # Create a tuple key with relevant information + key = (activity['name'], activity['unit'], activity['location'], activity.get('reference product')) + + premise_scores[key]=score + + return premise_scores + + +# relative_changes contains the activity names as keys and their relative changes as values + +def compute_relative_change(original, transformed): + if original == 0: + return float('inf') if transformed != 0 else 0 + return (transformed - original) / original + + +def calc_relative_changes(ecoinvent_scores, premise_scores): + + # Match activities_list and calculate relative changes + relative_changes = {} + relative_changes['method']=ecoinvent_scores['method'] + + # Track additional keys in premise_scores + additional_premise_keys = [] + + for key, original_score in ecoinvent_scores.items(): + if key in premise_scores: #activities only in premise_scores are according to this logic neglected. + # Skip if original_score is a tuple due to information tuple key + if isinstance(original_score, tuple): + continue + + transformed_score = premise_scores[key] + relative_change = compute_relative_change(original_score, transformed_score) + relative_changes[key] = relative_change + + # Identify additional keys in premise_scores + for key in premise_scores.keys(): + if key not in ecoinvent_scores: + additional_premise_keys.append(key) + + # Print the dataframes_dict + for key, change in relative_changes.items(): + print(f"{key}: {change}") + + if additional_premise_keys: + print("Additional keys in premise_scores not found in ecoinvent_scores:", additional_premise_keys) + + return relative_changes \ No newline at end of file diff --git a/dev/methods.py b/dev/methods.py new file mode 100644 index 0000000..e1b59fa --- /dev/null +++ b/dev/methods.py @@ -0,0 +1,58 @@ +# Dependencies +# ------------ + +#brightway +import brightway2 as bw +import bw2analyzer as ba +import bw2data as bd + +# Class for generating method dictionary +# -------------------------------------- + +class MethodFinder: + def __init__(self): + self.all_methods = {} + self.method_counter = 0 + + def find_and_create_method(self, criteria, exclude=None, custom_key=None): + methods = bw.methods + # Start with all methods + filtered_methods = methods + # Apply inclusion criteria + for criterion in criteria: + filtered_methods = [m for m in filtered_methods if criterion in str(m)] + # Apply exclusion criteria if provided + if exclude: + for exclusion in exclude: + filtered_methods = [m for m in filtered_methods if exclusion not in str(m)] + # Check if we found exactly one method + if len(filtered_methods) == 0: + raise ValueError("No methods found matching the given criteria.") + elif len(filtered_methods) > 1: + raise ValueError(f"Multiple methods found: {filtered_methods}. Please provide more specific criteria.") + # Get the first (and only) method + selected_method = filtered_methods[0] + # Create the Brightway Method object + method_object = bw.Method(selected_method) + + # Generate a key for storing the method + if custom_key is None: + self.method_counter += 1 + key = f"method_{self.method_counter}" + else: + key = custom_key + + # Store the method object and additional information in the dictionary + self.all_methods[key] = { + 'object': method_object, + 'method name': method_object.name, + 'short name' : method_object.name[2], + 'unit': method_object.metadata.get('unit', 'Unknown') + } + + # Return both the method object and its key + return {key: self.all_methods[key]} + + def get_all_methods(self): + return self.all_methods + diff --git a/dev/plots.py b/dev/plots.py new file mode 100644 index 0000000..19365c0 --- /dev/null +++ b/dev/plots.py @@ -0,0 +1,316 @@ +# Imports +# ------- + +#common +import pandas as pd +import numpy as np + +#plotting +import matplotlib.pyplot as plt +import seaborn as sns + +# LEVEL 1 +# ------- +# Function for plotting: Level 1 dot plot with standard deviation and IQR range +# ------------------------------------------------------------------------------ + +def lvl1_plot(dataframes_dict, title_key=None): + ''' + Plots the total score value for each activity sorted from largest to smallest. Visualizes IQR and standard deviation. + Generates as many plots as methods were defined. + + :param dataframes_dict: dictionary resulting from the function "compare_activities_multiple_methods" (and subsequently "small_inputs_to_other_column") + :param title_key: some string for the plot titles (e.g. sector name) + + ''' + + # Iterate over each dataframe and create individual plots + for idx, df in dataframes_dict.items(): + # Create a new figure for each plot + fig, ax = plt.subplots(figsize=(12, 6)) + + # Sort the DataFrame in descending order based on the 'total' column + sorted_df = df.sort_values(by='total', ascending=False) + + # Save the sorted index to order variable and call order variable in sns.swarmplot + order = sorted_df.index.tolist() + + # Calculate statistics + q1 = df['total'].quantile(0.25) + q3 = df['total'].quantile(0.75) + mean_gwp = df['total'].mean() + std_gwp = df['total'].std() + + # Plot using seaborn swarmplot + sns.swarmplot(data=df, x=df.index, y='total', dodge=True, ax=ax, order=order) + + # Add mean line + ax.axhline(mean_gwp, color='grey', linestyle='--', linewidth=1, label='Mean') + + # Add horizontal lines for Q1 and Q3 + ax.hlines(y=q3, xmin=-0.5, xmax=len(df)-0.5, color='lightblue', linestyle='dotted', linewidth=1, label='Q3 (75th percentile)') + ax.hlines(y=q1, xmin=-0.5, xmax=len(df)-0.5, color='lightblue', linestyle='dotted', linewidth=1, label='Q1 (25th percentile)') + + # Add horizontal shading for areas above and below 2 standard deviations from the mean + ax.axhspan(mean_gwp - 2 * std_gwp, mean_gwp - 3 * std_gwp, color='grey', alpha=0.2, label=">2 std below mean") + ax.axhspan(mean_gwp + 2 * std_gwp, mean_gwp + 3 * std_gwp, color='grey', alpha=0.2, label=">2 std above mean") + + # Add titles and labels + ax.set_title(f"{str(title_key)} - {df['method'].iloc[0]} in {df['method unit'].iloc[0]}") + ax.set_xlabel('Activity/ Dataset') + ax.set_ylabel(f"{df['method unit'].iloc[0]}") + + # Rotate x-axis labels if needed + ax.tick_params(axis='x', rotation=90) + + # Add legend + ax.legend() + + # Generate the legend text using the first dataframe + legend_text = generate_legend_text(dataframes_dict) + + # Add the legend text to the right of the plot + plt.text(1.02, 0.5, '\n'.join(legend_text), transform=ax.transAxes, ha='left', va='center', fontsize=11, bbox=dict(facecolor='white', alpha=0.2, edgecolor='grey')) + + # Show the plot + plt.tight_layout() + plt.show() + +# LEVEL 2.1 +# --------- +# Function for plotting: Level 2.1 Absolute stacked bar plots +# ------------------------------------------------------------ + +def lvl21_plot_stacked_absolute(dataframes_dict, title_key=None): + ''' + Comparing activities and the input contributions to the total score by plotting a stacked absolute bar plot for each method. + + :param dataframes_dict: dictionary resulting from the function "compare_activities_multiple_methods" (and subsequently "small_inputs_to_other_column") + :param title_key: some string for the plot titles + ''' + + # Step 1: Collect all unique categories + all_categories = set() + + for df in dataframes_dict.values(): + if 'total' in df.columns: + total_index = df.columns.get_loc('total') + relevant_columns = df.columns[total_index + 1:] + else: + relevant_columns = df.columns + + # Update all_categories set with relevant columns + all_categories.update(relevant_columns) + + all_categories = list(all_categories) + + # Step 2: Create a consistent color palette and color map + distinct_colors = generate_distinct_colors(len(all_categories)) + color_map = dict(zip(all_categories, distinct_colors)) + + # Step 3: Plot each DataFrame + for key, df in dataframes_dict.items(): + if 'total' in df.columns: + df_og = df.copy() #for calling method and informative column in title and axis + total_index = df.columns.get_loc('total') + df = df.iloc[:, total_index + 1:] + + # Create a new figure for each plot + fig, ax = plt.subplots(figsize=(20, 10)) + + # Ensure columns match the categories used in the color map + df = df[[col for col in df.columns if col in color_map]] + + # Plotting the DataFrame with the custom color map + df.plot(kind='bar', stacked=True, ax=ax, color=[color_map[col] for col in df.columns]) + + # Add titles and labels + ax.set_title(f"{str(title_key)} - {df_og['method'].iloc[0]} in {df_og['method unit'].iloc[0]}") + ax.set_xlabel('Activity/ Dataset') + ax.set_ylabel(f"{df_og['method unit'].iloc[0]}") + + # First legend: Categories + first_legend = ax.legend(title='Categories', loc='center left', bbox_to_anchor=(1, 0.5), fontsize='small') + + # Add the first legend manually + ax.add_artist(first_legend) + + # Generate the legend text using the first dataframe + legend_text = generate_legend_text(dataframes_dict) + + # Create a second legend below the first one + fig.text(1.02, 0.1, '\n'.join(legend_text), transform=ax.transAxes, fontsize=11, + verticalalignment='bottom', bbox=dict(facecolor='white', alpha=0.2, edgecolor='grey')) + + # Rotate x-axis labels for better readability + plt.xticks(rotation=90, ha='right') + + # Adjust layout to make room for both legends + plt.tight_layout() + plt.subplots_adjust(right=0.75, bottom=0.2) + + # Display the plot + plt.show() + +# LEVEL 2.3 +# --------- +# Function for plotting: Level 2.3 bar plot comparing input not characterized across sector/ activity list +# -------------------------------------------------------------------------------------------------------- + +def lvl23_plot_input_comparison_plot_no_method(activities_list, input_type, input_number,): + ''' + Comparing one specific cpc input among activities without method. + + :param activities_list: list of activities to plot inputs for. Perhabs the one defined at the beginning. + :param input_type: type of the activities input default 'list', other 'dict' + :param input_number: the cpc code of the input that is supposed to be plotted + + ''' + cpc_input_dataframe = get_cpc_inputs_of_activities(activities_list, input_type) + + x_input_fltr= [x for x in cpc_input_dataframe.columns if str(input_number) in str(x)][0] + + df= cpc_input_dataframe[x_input_fltr] + + df = df.sort_values(ascending=False) + ax = df.plot(kind='bar', x=x_input_fltr, figsize=(14, 6)) + ax.set_xlabel('Activity/ Dataset') + ax.set_ylabel(f"{cpc_input_dataframe['unit'].iloc[0]}") + ax.set_title(f'Comparison Plot for not characterized Input - {x_input_fltr}') + + # Generate the legend text to map index to activity + legend_text = generate_legend_text(cpc_input_dataframe) + # Add the legend text to the right of the plot + ax.text(1.02, 0.5, '\n'.join(legend_text), transform=ax.transAxes, ha='left', va='center', fontsize=11, bbox=dict(facecolor='white', alpha=0.2, edgecolor='grey')) + +# LEVEL 2.2 +# ---------- +# Function for plotting: Level 2.2 bar plot comparing one input characterized by one method across sector/ activity list +# ---------------------------------------------------------------------------------------------------------------------- + +def lvl22_plot_input_comparison_with_method(dataframes_dict, dataframe_key, input_number): + """ + Comparing one specific cpc input among activities for each method. + + :param dataframes_dict:dictionary resulting from the function "compare_activities_multiple_methods" (and subsequently "small_inputs_to_other_column") + :param dataframe_key: Key to access a specific DataFrame from the dictionary. + :param input_number: Unique cpc identifier number of the input that should be plotted. + """ + # Access the specific DataFrame + df = dataframes_dict.get(dataframe_key) + + if df is None: + print(f"No DataFrame found for key: {dataframe_key}") + return + + # Filter columns based on the input_number + columns_to_plot = [col for col in df.columns if str(input_number) in str(col)] + + if not columns_to_plot: + print(f"No columns found containing input number: {input_number}") + return + + # Plot the filtered columns + ax = df[columns_to_plot].plot(kind='bar', figsize=(14, 6)) + plt.xlabel('Activity/ Dataset') + plt.ylabel(f"{df['method unit'].iloc[0]}") + plt.title(f'Comparison Plot for Input Number {input_number}') + + # Add legend for identifying activities_list from index + # Generate the legend text using the first dataframe + legend_text = generate_legend_text(dataframes_dict.get(dataframe_key)) + + # Add the legend text to the right of the plot + plt.text(1.02, 0.5, '\n'.join(legend_text), transform=ax.transAxes, ha='left', va='center', fontsize=11, bbox=dict(facecolor='white', alpha=0.2, edgecolor='grey')) + + plt.show() + +# LEVEL 3 +# -------- +# Function for plotting: Level 3 S-curve difference of og database and premise adapted database by one meth +# ------------------------------------------------------------------------------------------------------------ + +def lvl3_plot_relative_changes(database, premise_database, method): + + ''' + A function that plots the relative changes in activitiy LCA scores (for one defined method) between a "raw" ecoinvent database and a premise transformed ecoinvent database. + + :param database: an ecoinvent database or set of activities from an ecoinvent database. + :premise_database: a premise transformed database or a set of activities which has intersections with the ecoinvent database. + :method: a method the relative changes should be calculated and plotted for. + + ''' + + ecoinvent_scores = calculate_lca_ecoinvent_scores(database, method) + premise_scores = calculate_lca_premise_scores(premise_database, method) + + relative_changes = calc_relative_changes(ecoinvent_scores, premise_scores) + + # Filter out entries where the value is a tuple (method) + filtered_changes = {k: v for k, v in relative_changes.items() if not isinstance(v, tuple)} + + # Sort the relative changes by magnitude + sorted_changes = sorted(filtered_changes.items(), key=lambda x: x[1]) + + # Prepare data for plotting + activities_list = [f"{key}" for key, _ in sorted_changes] + changes = [change for _, change in sorted_changes] + + # Create the plot + fig, ax = plt.subplots(figsize=(12, len(activities_list) * 0.4)) # Adjust figure height based on number of activities_list + fig.suptitle(f"Relative Changes in LCA Scores {relative_changes['method']}") + y_pos = np.arange(len(activities_list)) + ax.barh(y_pos, changes, align='center', color='lightgrey', alpha=0.7) + + # Plot curve through datapoints + ax.plot(changes, y_pos, color='darkblue', linewidth=2, marker='o', markersize=6) + + # Set labels and title + ax.set_yticks(y_pos) + ax.set_yticklabels(activities_list) + ax.invert_yaxis() # Labels read top-to-bottom + ax.set_xlabel('Relative Change') + + +# Formatting +# ---------- +# Level 1-2.3 plots dependency: Legend to map indexes on x-axis to activities +# --------------------------------------------------------------------------------------- + +def generate_legend_text(data): + ''' + Maps the indexes on the x-axis to the activities to list them in a legend. + + :param data: it can take in a dictionary of dataframes or just a single dataframe + ''' + + legend_text = [] + + # Check if the input is a dictionary or a DataFrame + if isinstance(data, dict): + # Use the first DataFrame in the dictionary + first_key = next(iter(data)) + df = data[first_key] + elif isinstance(data, pd.DataFrame): + # Use the input DataFrame directly + df = data + else: + raise ValueError("Input must be either a dictionary of DataFrames or a DataFrame") + + # Create a list of tuples with (index, activity, location) + items = [(str(i), row['activity'], row['location']) for i, row in df.iterrows()] + # Sort the items based on the index + sorted_items = sorted(items, key=lambda x: x[0]) + # Add sorted items to legend_text + for i, activity, location in sorted_items: + legend_text.append(f"{i}: {activity} - {location}") + return legend_text + +# Level 2.1 plot dependencies: Function for formating plot: Unique colors for Level 2.1 Absolute stacked bar plots +# ----------------------------------------------------------------------------------- + +def generate_distinct_colors(n): + """Generate n distinct colors using HSV color space.""" + hues = np.linspace(0, 1, n, endpoint=False) + colors = [plt.cm.hsv(h) for h in hues] + return colors diff --git a/dev/test_function_flow_v4.ipynb b/dev/test_function_flow_v4.ipynb index df5129e..a7fdf0b 100644 --- a/dev/test_function_flow_v4.ipynb +++ b/dev/test_function_flow_v4.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -148,10 +148,10 @@ { "data": { "text/plain": [ - "['cement production, Portland' (kilogram, PE, None),\n", - " 'cement production, CEM III/B' (kilogram, RoW, None),\n", - " 'cement production, CEM III/B' (kilogram, Europe without Switzerland, None),\n", - " 'cement production, CEM II/B' (kilogram, CH, None)]" + "['cement production, CEM II/A-S' (kilogram, ZA, None),\n", + " 'cement production, Portland' (kilogram, Europe without Switzerland, None),\n", + " 'cement production, CP V RS' (kilogram, BR, None),\n", + " 'cement production, CEM II/B' (kilogram, Europe without Switzerland, None)]" ] }, "execution_count": 6, @@ -182,23 +182,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 39, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Brightway2 Method: IPCC 2013: climate change: global warming potential (GWP100)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "gwp=find_and_create_method(criteria=['IPCC', '2013', 'GWP100'], exclude=['no LT'])\n", - "gwp" + "finder=MethodFinder()" ] }, { @@ -209,7 +197,12 @@ { "data": { "text/plain": [ - "'global warming potential (GWP100)'" + "{'method_1': {'object': Brightway2 Method: IPCC 2013: climate change: global warming potential (GWP100),\n", + " 'method name': ('IPCC 2013',\n", + " 'climate change',\n", + " 'global warming potential (GWP100)'),\n", + " 'short name': 'global warming potential (GWP100)',\n", + " 'unit': 'kg CO2-Eq'}}" ] }, "execution_count": 40, @@ -218,220 +211,122 @@ } ], "source": [ - "gwp.name[2]" + "finder.find_and_create_method(criteria=['IPCC', '2013', 'GWP100'], exclude=['no LT'])" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Brightway2 Method: EN15804: inventory indicators ISO21930: Cumulative Energy Demand - non-renewable energy resources" + "{'method_2': {'object': Brightway2 Method: EN15804: inventory indicators ISO21930: Cumulative Energy Demand - non-renewable energy resources,\n", + " 'method name': ('EN15804',\n", + " 'inventory indicators ISO21930',\n", + " 'Cumulative Energy Demand - non-renewable energy resources'),\n", + " 'short name': 'Cumulative Energy Demand - non-renewable energy resources',\n", + " 'unit': 'megajoule'}}" ] }, - "execution_count": 9, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "energy_use=find_and_create_method(criteria=['EN15804','Cumulative', 'non-renewable' ])\n", - "energy_use" + "finder.find_and_create_method(criteria=['EN15804','Cumulative', 'non-renewable' ])" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'inventory indicators ISO21930'" + "{'method_3': {'object': Brightway2 Method: selected LCI results: resource: land occupation,\n", + " 'method name': ('selected LCI results', 'resource', 'land occupation'),\n", + " 'short name': 'land occupation',\n", + " 'unit': 'square meter-year'}}" ] }, - "execution_count": 32, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "energy_use.name[1]" + "finder.find_and_create_method(criteria=['land occupation','selected'])" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'Cumulative_Energy_Demand_-_non-renewable_energy_resources'" + "{'method_4': {'object': Brightway2 Method: EN15804: inventory indicators ISO21930: use of net fresh water,\n", + " 'method name': ('EN15804',\n", + " 'inventory indicators ISO21930',\n", + " 'use of net fresh water'),\n", + " 'short name': 'use of net fresh water',\n", + " 'unit': 'cubic meter'}}" ] }, - "execution_count": 39, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "method_name = energy_use.name[2].replace(' ', '_')\n", - "method_name" + "finder.find_and_create_method(criteria=['EN15804','fresh water'])" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Brightway2 Method: selected LCI results: resource: land occupation" + "{'method_1': {'object': Brightway2 Method: IPCC 2013: climate change: global warming potential (GWP100),\n", + " 'method name': ('IPCC 2013',\n", + " 'climate change',\n", + " 'global warming potential (GWP100)'),\n", + " 'short name': 'global warming potential (GWP100)',\n", + " 'unit': 'kg CO2-Eq'},\n", + " 'method_2': {'object': Brightway2 Method: EN15804: inventory indicators ISO21930: Cumulative Energy Demand - non-renewable energy resources,\n", + " 'method name': ('EN15804',\n", + " 'inventory indicators ISO21930',\n", + " 'Cumulative Energy Demand - non-renewable energy resources'),\n", + " 'short name': 'Cumulative Energy Demand - non-renewable energy resources',\n", + " 'unit': 'megajoule'},\n", + " 'method_3': {'object': Brightway2 Method: selected LCI results: resource: land occupation,\n", + " 'method name': ('selected LCI results', 'resource', 'land occupation'),\n", + " 'short name': 'land occupation',\n", + " 'unit': 'square meter-year'},\n", + " 'method_4': {'object': Brightway2 Method: EN15804: inventory indicators ISO21930: use of net fresh water,\n", + " 'method name': ('EN15804',\n", + " 'inventory indicators ISO21930',\n", + " 'use of net fresh water'),\n", + " 'short name': 'use of net fresh water',\n", + " 'unit': 'cubic meter'}}" ] }, - "execution_count": 11, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "land_use=find_and_create_method(criteria=['land occupation','selected'])\n", - "land_use" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'land_occupation'" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "method_name = land_use.name[2].replace(' ', '_')\n", - "method_name" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Brightway2 Method: EN15804: inventory indicators ISO21930: use of net fresh water" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "water_use=find_and_create_method(criteria=['EN15804','fresh water'])\n", - "water_use" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*store the method variables in a list for subsequent use*" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "meth_list=[gwp, energy_use, land_use, water_use]" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[Brightway2 Method: IPCC 2013: climate change: global warming potential (GWP100),\n", - " Brightway2 Method: EN15804: inventory indicators ISO21930: Cumulative Energy Demand - non-renewable energy resources,\n", - " Brightway2 Method: selected LCI results: resource: land occupation,\n", - " Brightway2 Method: EN15804: inventory indicators ISO21930: use of net fresh water]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "meth_list" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Create a method dictionary for subsequent identification. The dictionary contains information on the method name and unit*" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "method_dict=create_method_dict(selected_methods_list=[gwp, energy_use, land_use, water_use])\n", - "\n", - "#TBD:!?: Can I pick them automatically? via available bw.Methods in workbook? Function to give out the existing methods?" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{Brightway2 Method: IPCC 2013: climate change: global warming potential (GWP100): {'short name': 'global warming potential (GWP100)',\n", - " 'method name': \"('IPCC 2013', 'climate change', 'global warming potential (GWP100)')\",\n", - " 'method unit': 'kg CO2-Eq'},\n", - " Brightway2 Method: EN15804: inventory indicators ISO21930: Cumulative Energy Demand - non-renewable energy resources: {'short name': 'Cumulative Energy Demand - non-renewable energy resources',\n", - " 'method name': \"('EN15804', 'inventory indicators ISO21930', 'Cumulative Energy Demand - non-renewable energy resources')\",\n", - " 'method unit': 'megajoule'},\n", - " Brightway2 Method: selected LCI results: resource: land occupation: {'short name': 'land occupation',\n", - " 'method name': \"('selected LCI results', 'resource', 'land occupation')\",\n", - " 'method unit': 'square meter-year'},\n", - " Brightway2 Method: EN15804: inventory indicators ISO21930: use of net fresh water: {'short name': 'use of net fresh water',\n", - " 'method name': \"('EN15804', 'inventory indicators ISO21930', 'use of net fresh water')\",\n", - " 'method unit': 'cubic meter'}}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "method_dict #check" + "method_dict=finder.get_all_methods()\n", + "method_dict" ] }, { @@ -450,7 +345,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -475,283 +370,319 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'cement_g_l_o_b_a_l___w_a_r_m_i_n_g___p_o_t_e_n_t_i_a_l___(_g_w_p_1_0_0_)': activity product location unit \\\n", - " 0 CEM II/B CEM II/B CH kilogram \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram \n", - " 2 CEM III/B CEM III/B RoW kilogram \n", - " 3 Portland Portland PE kilogram \n", + "{'cement_global_warming_potential_(gwp100)': activity product location unit \\\n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", " \n", " method method unit total direct emissions \\\n", - " 0 global warming potential (GWP100) kg CO2-Eq 0.611318 0.0 \n", - " 1 global warming potential (GWP100) kg CO2-Eq 0.299545 0.0 \n", - " 2 global warming potential (GWP100) kg CO2-Eq 0.314312 0.0 \n", - " 3 global warming potential (GWP100) kg CO2-Eq 0.869433 0.0 \n", - " \n", - " 37430: Cement clinkers 12030: Bituminous or oil shale and tar sands ... \\\n", - " 0 0.533705 0.049432 ... \n", - " 1 0.216184 0.000000 ... \n", - " 2 0.208426 0.000000 ... \n", - " 3 0.824794 0.000000 ... \n", - " \n", - " 34510: Wood charcoal 34611: Urea \\\n", - " 0 0.000000 0.000265 \n", - " 1 0.000000 0.000000 \n", - " 2 0.000323 0.000000 \n", - " 3 0.000000 0.000000 \n", - " \n", - " 14100: Iron ores and concentrates, other than roasted iron pyrites \\\n", - " 0 0.00000 \n", - " 1 0.00000 \n", - " 2 0.00000 \n", - " 3 0.00024 \n", - " \n", - " 161: Chemical and fertilizer minerals \\\n", - " 0 0.000000 \n", - " 1 0.000000 \n", - " 2 0.000097 \n", - " 3 0.000000 \n", + " 0 global warming potential (GWP100) kg CO2-Eq 0.683900 0.0 \n", + " 1 global warming potential (GWP100) kg CO2-Eq 0.623345 0.0 \n", + " 2 global warming potential (GWP100) kg CO2-Eq 0.703074 0.0 \n", + " 3 global warming potential (GWP100) kg CO2-Eq 0.815993 0.0 \n", + " \n", + " 37430: Cement clinkers \\\n", + " 0 0.598921 \n", + " 1 0.575368 \n", + " 2 0.626334 \n", + " 3 0.759166 \n", + " \n", + " 33: Coke oven products; refined petroleum products; nuclear fuel ... \\\n", + " 0 0.000000 ... \n", + " 1 0.001563 ... \n", + " 2 0.036998 ... \n", + " 3 0.002062 ... \n", + " \n", + " 41122: Alloy steel in ingots or other primary forms and semi-finished products of alloy steel \\\n", + " 0 0.000361 \n", + " 1 0.000305 \n", + " 2 0.000370 \n", + " 3 0.000344 \n", " \n", " 444: Machinery for mining, quarrying and construction, and parts thereof \\\n", " 0 0.000000 \n", - " 1 0.000096 \n", - " 2 0.000049 \n", - " 3 0.000000 \n", - " \n", - " 43914: Filtering or purifying machinery and apparatus, for liquids or gases, except oil filters, petrol filters and a[…] \\\n", - " 0 0.000000 \n", - " 1 0.000075 \n", - " 2 0.000049 \n", - " 3 0.000000 \n", + " 1 0.000256 \n", + " 2 0.000000 \n", + " 3 0.000337 \n", + " \n", + " 65219: Other coastal and transoceanic water transport services of other freight \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000295 \n", + " 3 0.000000 \n", + " \n", + " 49114: Motor vehicles n.e.c. for the transport of goods \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000285 \n", + " 3 0.000000 \n", " \n", " 39110: Raw offal, inedible (including pigs' bristles, horse hair, animal guts, bird skins, feathers, bones and ivory) \\\n", " 0 0.000000 \n", - " 1 0.000058 \n", + " 1 0.000154 \n", " 2 0.000000 \n", - " 3 0.000000 \n", - " \n", - " 53252: Local cables and related works 16: Other minerals \\\n", - " 0 0.000000 0.00000 \n", - " 1 0.000042 0.00000 \n", - " 2 0.000000 0.00004 \n", - " 3 0.000000 0.00000 \n", - " \n", - " 53261: Mining constructions \n", - " 0 0.000000 \n", - " 1 0.000000 \n", - " 2 0.000033 \n", - " 3 0.000000 \n", - " \n", - " [4 rows x 45 columns],\n", - " 'cement_c_u_m_u_l_a_t_i_v_e___e_n_e_r_g_y___d_e_m_a_n_d___-___n_o_n_-_r_e_n_e_w_a_b_l_e___e_n_e_r_g_y___r_e_s_o_u_r_c_e_s': activity product location unit \\\n", - " 0 CEM II/B CEM II/B CH kilogram \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram \n", - " 2 CEM III/B CEM III/B RoW kilogram \n", - " 3 Portland Portland PE kilogram \n", + " 3 0.000204 \n", " \n", - " method method unit total \\\n", - " 0 Cumulative Energy Demand - non-renewable energ... megajoule 1.848123 \n", - " 1 Cumulative Energy Demand - non-renewable energ... megajoule 1.971050 \n", - " 2 Cumulative Energy Demand - non-renewable energ... megajoule 2.123550 \n", - " 3 Cumulative Energy Demand - non-renewable energ... megajoule 3.836765 \n", + " 87141: Maintenance and repair services of motor vehicles \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000157 \n", + " 3 0.000000 \n", " \n", - " direct emissions 11010: Hard coal \\\n", - " 0 0.0 0.653061 \n", - " 1 0.0 0.301199 \n", - " 2 0.0 0.506017 \n", - " 3 0.0 2.269998 \n", - " \n", - " 12020: Natural gas, liquefied or in the gaseous state ... \\\n", - " 0 0.035018 ... \n", - " 1 0.284017 ... \n", - " 2 0.195889 ... \n", - " 3 1.202036 ... \n", - " \n", - " 18000: Natural water 34510: Wood charcoal \\\n", - " 0 0.000427 0.000000 \n", - " 1 0.000228 0.000000 \n", - " 2 0.000328 0.000419 \n", - " 3 0.000000 0.000000 \n", - " \n", - " 65131: Transport services via pipeline of petroleum and natural gas \\\n", - " 0 0.000000 \n", - " 1 0.000417 \n", - " 2 0.000231 \n", - " 3 0.000000 \n", - " \n", - " 35130: Printing ink 15310: Natural sands 53261: Mining constructions \\\n", - " 0 0.000000 0.000000 0.000298 \n", - " 1 0.000000 0.000357 0.000000 \n", - " 2 0.000372 0.000278 0.000335 \n", - " 3 0.000000 0.000000 0.000000 \n", + " 161: Chemical and fertilizer minerals \\\n", + " 0 0.000000 \n", + " 1 0.000076 \n", + " 2 0.000000 \n", + " 3 0.000100 \n", + " \n", + " 65229: Other inland water transport services of freight \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000099 \n", + " 3 0.000000 \n", " \n", " 65212: Coastal and transoceanic water transport services of freight by tankers \\\n", " 0 0.000000 \n", - " 1 0.000333 \n", + " 1 0.000072 \n", " 2 0.000000 \n", - " 3 0.000000 \n", + " 3 0.000095 \n", " \n", - " 39990: Other wastes n.e.c. \\\n", - " 0 0.00000 \n", - " 1 0.00031 \n", - " 2 0.00000 \n", - " 3 0.00000 \n", + " 18000: Natural water \n", + " 0 0.000084 \n", + " 1 0.000000 \n", + " 2 0.000000 \n", + " 3 0.000000 \n", " \n", - " 65119: Other road transport services of freight \\\n", - " 0 0.000224 \n", - " 1 0.000307 \n", - " 2 0.000000 \n", - " 3 0.000000 \n", - " \n", - " 43420: Industrial or laboratory furnaces and ovens, except non-electric bakery ovens; other industrial or laboratory […] \n", - " 0 0.000000 \n", - " 1 0.000000 \n", - " 2 0.000257 \n", - " 3 0.000000 \n", - " \n", - " [4 rows x 59 columns],\n", - " 'cement_l_a_n_d___o_c_c_u_p_a_t_i_o_n': activity product location unit method \\\n", - " 0 CEM II/B CEM II/B CH kilogram land occupation \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram land occupation \n", - " 2 CEM III/B CEM III/B RoW kilogram land occupation \n", - " 3 Portland Portland PE kilogram land occupation \n", - " \n", - " method unit total direct emissions None \\\n", - " 0 square meter-year 0.017263 0.0 0.008661 \n", - " 1 square meter-year 0.033959 0.0 0.015484 \n", - " 2 square meter-year 0.038602 0.0 0.020071 \n", - " 3 square meter-year 0.064829 0.0 0.040139 \n", - " \n", - " 31230: Wood in chips or particles ... 33380: Lubricants \\\n", - " 0 0.001944 ... 0.000005 \n", - " 1 0.005119 ... 0.000000 \n", - " 2 0.002027 ... 0.000000 \n", - " 3 0.011081 ... 0.000008 \n", - " \n", - " 37: Glass and glass products and other non-metallic products n.e.c. \\\n", - " 0 0.000007 \n", - " 1 0.000000 \n", - " 2 0.000000 \n", - " 3 0.000000 \n", - " \n", - " 12030: Bituminous or oil shale and tar sands \\\n", - " 0 0.000006 \n", - " 1 0.000000 \n", - " 2 0.000000 \n", - " 3 0.000000 \n", + " [4 rows x 48 columns],\n", + " 'cement_cumulative_energy_demand_-_non-renewable_energy_resources': activity product location unit \\\n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", " \n", - " 39110: Raw offal, inedible (including pigs' bristles, horse hair, animal guts, bird skins, feathers, bones and ivory) \\\n", - " 0 0.000002 \n", - " 1 0.000006 \n", - " 2 0.000000 \n", - " 3 0.000000 \n", + " method method unit total \\\n", + " 0 Cumulative Energy Demand - non-renewable energ... megajoule 3.612114 \n", + " 1 Cumulative Energy Demand - non-renewable energ... megajoule 2.096065 \n", + " 2 Cumulative Energy Demand - non-renewable energ... megajoule 2.889693 \n", + " 3 Cumulative Energy Demand - non-renewable energ... megajoule 2.659676 \n", + " \n", + " direct emissions 11010: Hard coal \\\n", + " 0 0.0 2.579194 \n", + " 1 0.0 0.582310 \n", + " 2 0.0 0.000000 \n", + " 3 0.0 0.768326 \n", + " \n", + " 33: Coke oven products; refined petroleum products; nuclear fuel ... \\\n", + " 0 0.000000 ... \n", + " 1 0.015863 ... \n", + " 2 2.493761 ... \n", + " 3 0.000770 ... \n", + " \n", + " 53261: Mining constructions \\\n", + " 0 0.000000 \n", + " 1 0.000624 \n", + " 2 0.000000 \n", + " 3 0.000823 \n", + " \n", + " 54211: General construction services of highways (except elevated highways), streets and roads \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000498 \n", + " 3 0.000000 \n", + " \n", + " 15320: Pebbles, gravel, broken or crushed stone, macadam; granules, chippings and powder of stone \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000494 \n", + " 3 0.000000 \n", + " \n", + " 65: Freight transport services \\\n", + " 0 0.000478 \n", + " 1 0.000000 \n", + " 2 0.000000 \n", + " 3 0.000000 \n", " \n", " 43550: Pneumatic and other continuous action elevators and conveyors, for goods or materials \\\n", - " 0 0.000006 \n", - " 1 0.000005 \n", - " 2 0.000005 \n", + " 0 0.000000 \n", + " 1 0.000476 \n", + " 2 0.000000 \n", " 3 0.000000 \n", " \n", - " 43420: Industrial or laboratory furnaces and ovens, except non-electric bakery ovens; other industrial or laboratory […] \\\n", + " 14100: Iron ores and concentrates, other than roasted iron pyrites \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000433 \n", + " 3 0.000000 \n", + " \n", + " 54320: Site formation and clearance services \\\n", + " 0 0.000000 \n", + " 1 0.000313 \n", + " 2 0.000000 \n", + " 3 0.000413 \n", + " \n", + " 65222: Inland water transport services of freight by tankers \\\n", + " 0 0.000000 \n", + " 1 0.000301 \n", + " 2 0.000000 \n", + " 3 0.000397 \n", + " \n", + " 43914: Filtering or purifying machinery and apparatus, for liquids or gases, except oil filters, petrol filters and a[…] \\\n", + " 0 0.000367 \n", + " 1 0.000000 \n", + " 2 0.000000 \n", + " 3 0.000000 \n", + " \n", + " 69120: Gas distribution through mains (on own account) \n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000299 \n", + " 3 0.000000 \n", + " \n", + " [4 rows x 66 columns],\n", + " 'cement_land_occupation': activity product location unit \\\n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", + " \n", + " method method unit total direct emissions \\\n", + " 0 land occupation square meter-year 0.017573 0.0 \n", + " 1 land occupation square meter-year 0.017850 0.0 \n", + " 2 land occupation square meter-year 0.064432 0.0 \n", + " 3 land occupation square meter-year 0.020833 0.0 \n", + " \n", + " 34510: Wood charcoal None ... 33370: Fuel oils n.e.c. \\\n", + " 0 0.000000 0.004462 ... 0.000018 \n", + " 1 0.000000 0.006899 ... 0.000008 \n", + " 2 0.028155 0.017723 ... 0.000000 \n", + " 3 0.000000 0.008998 ... 0.000010 \n", + " \n", + " 65119: Other road transport services of freight \\\n", + " 0 0.000011 \n", + " 1 0.000004 \n", + " 2 0.000000 \n", + " 3 0.000006 \n", + " \n", + " 15320: Pebbles, gravel, broken or crushed stone, macadam; granules, chippings and powder of stone \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000009 \n", + " 3 0.000000 \n", + " \n", + " 34800: Synthetic rubber and factice derived from oils, and mixtures thereof with natural rubber and similar natural g[…] \\\n", " 0 0.000000 \n", " 1 0.000000 \n", - " 2 0.000005 \n", + " 2 0.000007 \n", + " 3 0.000000 \n", + " \n", + " 43914: Filtering or purifying machinery and apparatus, for liquids or gases, except oil filters, petrol filters and a[…] \\\n", + " 0 0.000007 \n", + " 1 0.000000 \n", + " 2 0.000000 \n", " 3 0.000000 \n", " \n", - " 39990: Other wastes n.e.c. 37510: Non-refractory mortars and concretes \\\n", - " 0 0.000000 0.000004 \n", - " 1 0.000004 0.000000 \n", - " 2 0.000000 0.000000 \n", - " 3 0.000000 0.000000 \n", - " \n", - " 4124: Bars and rods, hot-rolled, of iron or steel \\\n", - " 0 0.000004 \n", - " 1 0.000000 \n", - " 2 0.000000 \n", - " 3 0.000000 \n", - " \n", - " 14290: Other non-ferrous metal ores and concentrates (other than uranium or thorium ores and concentrates) \n", - " 0 0.000002 \n", - " 1 0.000000 \n", - " 2 0.000000 \n", - " 3 0.000000 \n", - " \n", - " [4 rows x 62 columns],\n", - " 'cement_u_s_e___o_f___n_e_t___f_r_e_s_h___w_a_t_e_r': activity product location unit \\\n", - " 0 CEM II/B CEM II/B CH kilogram \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram \n", - " 2 CEM III/B CEM III/B RoW kilogram \n", - " 3 Portland Portland PE kilogram \n", + " 53262: Power plants \\\n", + " 0 0.000000 \n", + " 1 0.000000 \n", + " 2 0.000007 \n", + " 3 0.000000 \n", + " \n", + " 65222: Inland water transport services of freight by tankers \\\n", + " 0 0.000000 \n", + " 1 0.000005 \n", + " 2 0.000000 \n", + " 3 0.000007 \n", + " \n", + " 33380: Lubricants 54320: Site formation and clearance services \\\n", + " 0 0.000006 0.000000 \n", + " 1 0.000005 0.000005 \n", + " 2 0.000000 0.000000 \n", + " 3 0.000006 0.000006 \n", + " \n", + " 43550: Pneumatic and other continuous action elevators and conveyors, for goods or materials \n", + " 0 0.000005 \n", + " 1 0.000005 \n", + " 2 0.000000 \n", + " 3 0.000005 \n", + " \n", + " [4 rows x 61 columns],\n", + " 'cement_use_of_net_fresh_water': activity product location unit \\\n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", " \n", " method method unit total direct emissions None \\\n", - " 0 use of net fresh water cubic meter 0.001092 0.0 0.000249 \n", - " 1 use of net fresh water cubic meter 0.001084 0.0 0.000353 \n", - " 2 use of net fresh water cubic meter 0.000639 0.0 0.000260 \n", - " 3 use of net fresh water cubic meter 0.002134 0.0 0.001221 \n", - " \n", - " 17100: Electrical energy ... 53262: Power plants \\\n", - " 0 0.000354 ... 0.000000e+00 \n", - " 1 0.000294 ... 1.528544e-07 \n", - " 2 0.000128 ... 0.000000e+00 \n", - " 3 0.000535 ... 2.814751e-07 \n", - " \n", - " 37: Glass and glass products and other non-metallic products n.e.c. \\\n", - " 0 2.811716e-07 \n", - " 1 0.000000e+00 \n", - " 2 0.000000e+00 \n", - " 3 0.000000e+00 \n", - " \n", - " 39: Wastes or scraps 4124: Bars and rods, hot-rolled, of iron or steel \\\n", - " 0 0.000000e+00 2.293488e-07 \n", - " 1 1.186001e-07 0.000000e+00 \n", - " 2 1.430875e-07 8.743414e-08 \n", - " 3 2.420684e-07 0.000000e+00 \n", - " \n", - " 43420: Industrial or laboratory furnaces and ovens, except non-electric bakery ovens; other industrial or laboratory […] \\\n", - " 0 0.000000e+00 \n", + " 0 use of net fresh water cubic meter 0.000871 0.000000 0.000256 \n", + " 1 use of net fresh water cubic meter 0.001404 0.000000 0.000230 \n", + " 2 use of net fresh water cubic meter 0.002867 0.000183 0.001100 \n", + " 3 use of net fresh water cubic meter 0.001752 0.000000 0.000298 \n", + " \n", + " 17100: Electrical energy ... 65: Freight transport services \\\n", + " 0 0.000054 ... 5.017780e-07 \n", + " 1 0.000246 ... 0.000000e+00 \n", + " 2 0.000886 ... 0.000000e+00 \n", + " 3 0.000277 ... 0.000000e+00 \n", + " \n", + " 33380: Lubricants 41422: Unwrought nickel \\\n", + " 0 3.430251e-07 0.000000e+00 \n", + " 1 3.551499e-07 3.142659e-07 \n", + " 2 0.000000e+00 0.000000e+00 \n", + " 3 4.686006e-07 4.146563e-07 \n", + " \n", + " 54211: General construction services of highways (except elevated highways), streets and roads \\\n", + " 0 0.000000e+00 \n", + " 1 0.000000e+00 \n", + " 2 3.613628e-07 \n", + " 3 0.000000e+00 \n", + " \n", + " 33710: Fuel elements (cartridges), non-irradiated, for nuclear reactors \\\n", + " 0 3.540832e-07 \n", + " 1 0.000000e+00 \n", + " 2 0.000000e+00 \n", + " 3 0.000000e+00 \n", + " \n", + " 11030: Brown coal \\\n", + " 0 0.000000e+00 \n", + " 1 0.000000e+00 \n", + " 2 3.118650e-07 \n", + " 3 0.000000e+00 \n", + " \n", + " 43914: Filtering or purifying machinery and apparatus, for liquids or gases, except oil filters, petrol filters and a[…] \\\n", + " 0 2.969130e-07 \n", " 1 0.000000e+00 \n", - " 2 2.131786e-07 \n", + " 2 0.000000e+00 \n", " 3 0.000000e+00 \n", " \n", - " 43550: Pneumatic and other continuous action elevators and conveyors, for goods or materials \\\n", - " 0 1.133641e-07 \n", - " 1 2.054048e-07 \n", - " 2 2.054048e-07 \n", - " 3 0.000000e+00 \n", - " \n", - " 53261: Mining constructions \\\n", - " 0 0.000000e+00 \n", - " 1 0.000000e+00 \n", - " 2 1.785402e-07 \n", - " 3 0.000000e+00 \n", - " \n", - " 39110: Raw offal, inedible (including pigs' bristles, horse hair, animal guts, bird skins, feathers, bones and ivory) \\\n", - " 0 0.000000e+00 \n", - " 1 1.650609e-07 \n", - " 2 8.539140e-08 \n", - " 3 0.000000e+00 \n", - " \n", - " 39270: Waste, parings and scrap of plastics \\\n", - " 0 1.433770e-07 \n", - " 1 0.000000e+00 \n", - " 2 0.000000e+00 \n", - " 3 0.000000e+00 \n", - " \n", - " 53253: Sewage and water treatment plants \n", - " 0 0.000000e+00 \n", - " 1 -1.462734e-07 \n", - " 2 -9.584481e-08 \n", - " 3 0.000000e+00 \n", - " \n", - " [4 rows x 66 columns]}" + " 65119: Other road transport services of freight \\\n", + " 0 2.823215e-07 \n", + " 1 0.000000e+00 \n", + " 2 0.000000e+00 \n", + " 3 0.000000e+00 \n", + " \n", + " 65219: Other coastal and transoceanic water transport services of other freight \\\n", + " 0 2.771661e-07 \n", + " 1 0.000000e+00 \n", + " 2 0.000000e+00 \n", + " 3 0.000000e+00 \n", + " \n", + " 43550: Pneumatic and other continuous action elevators and conveyors, for goods or materials \n", + " 0 2.054048e-07 \n", + " 1 2.054048e-07 \n", + " 2 0.000000e+00 \n", + " 3 2.054048e-07 \n", + " \n", + " [4 rows x 62 columns]}" ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -762,19 +693,19 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['cement_g_l_o_b_a_l___w_a_r_m_i_n_g___p_o_t_e_n_t_i_a_l___(_g_w_p_1_0_0_)',\n", - " 'cement_c_u_m_u_l_a_t_i_v_e___e_n_e_r_g_y___d_e_m_a_n_d___-___n_o_n_-_r_e_n_e_w_a_b_l_e___e_n_e_r_g_y___r_e_s_o_u_r_c_e_s',\n", - " 'cement_l_a_n_d___o_c_c_u_p_a_t_i_o_n',\n", - " 'cement_u_s_e___o_f___n_e_t___f_r_e_s_h___w_a_t_e_r']" + "['cement_global_warming_potential_(gwp100)',\n", + " 'cement_cumulative_energy_demand_-_non-renewable_energy_resources',\n", + " 'cement_land_occupation',\n", + " 'cement_use_of_net_fresh_water']" ] }, - "execution_count": 19, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -792,193 +723,219 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'cement_g_l_o_b_a_l___w_a_r_m_i_n_g___p_o_t_e_n_t_i_a_l___(_g_w_p_1_0_0_)': activity product location unit \\\n", - " 3 Portland Portland PE kilogram \n", - " 0 CEM II/B CEM II/B CH kilogram \n", - " 2 CEM III/B CEM III/B RoW kilogram \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram \n", + "{'cement_global_warming_potential_(gwp100)': activity product location unit \\\n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", + " 2 CP V RS CP V RS BR kilogram \n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", " \n", " method method unit total \\\n", - " 3 global warming potential (GWP100) kg CO2-Eq 0.869433 \n", - " 0 global warming potential (GWP100) kg CO2-Eq 0.611318 \n", - " 2 global warming potential (GWP100) kg CO2-Eq 0.314312 \n", - " 1 global warming potential (GWP100) kg CO2-Eq 0.299545 \n", - " \n", - " 37430: Cement clinkers 12030: Bituminous or oil shale and tar sands \\\n", - " 3 0.824794 0.000000 \n", - " 0 0.533705 0.049432 \n", - " 2 0.208426 0.000000 \n", - " 1 0.216184 0.000000 \n", - " \n", - " 17300: Steam and hot water 6511: Road transport services of freight \\\n", - " 3 0.000000 0.000000 \n", - " 0 0.000000 0.000000 \n", - " 2 0.029716 0.023663 \n", - " 1 0.015246 0.022608 \n", + " 3 global warming potential (GWP100) kg CO2-Eq 0.815993 \n", + " 2 global warming potential (GWP100) kg CO2-Eq 0.703074 \n", + " 0 global warming potential (GWP100) kg CO2-Eq 0.683900 \n", + " 1 global warming potential (GWP100) kg CO2-Eq 0.623345 \n", + " \n", + " 37430: Cement clinkers \\\n", + " 3 0.759166 \n", + " 2 0.626334 \n", + " 0 0.598921 \n", + " 1 0.575368 \n", + " \n", + " 33: Coke oven products; refined petroleum products; nuclear fuel \\\n", + " 3 0.000000 \n", + " 2 0.036998 \n", + " 0 0.000000 \n", + " 1 0.000000 \n", " \n", " 37440: Portland cement, aluminous cement, slag cement and similar hydraulic cements, except in the form of clinkers \\\n", " 3 0.000000 \n", - " 0 0.000000 \n", - " 2 0.016239 \n", - " 1 0.014574 \n", - " \n", - " 11010: Hard coal other \n", - " 3 0.000000 0.043989 \n", - " 0 0.000000 0.027844 \n", - " 2 0.007988 0.026120 \n", - " 1 0.000000 0.028933 ,\n", - " 'cement_c_u_m_u_l_a_t_i_v_e___e_n_e_r_g_y___d_e_m_a_n_d___-___n_o_n_-_r_e_n_e_w_a_b_l_e___e_n_e_r_g_y___r_e_s_o_u_r_c_e_s': activity product location unit \\\n", - " 3 Portland Portland PE kilogram \n", - " 2 CEM III/B CEM III/B RoW kilogram \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram \n", - " 0 CEM II/B CEM II/B CH kilogram \n", + " 2 0.000000 \n", + " 0 0.033552 \n", + " 1 0.000000 \n", + " \n", + " 6511: Road transport services of freight other \n", + " 3 0.00000 0.056202 \n", + " 2 0.00000 0.039087 \n", + " 0 0.02361 0.027492 \n", + " 1 0.00000 0.047504 ,\n", + " 'cement_cumulative_energy_demand_-_non-renewable_energy_resources': activity product location unit \\\n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", " \n", " method method unit total \\\n", - " 3 Cumulative Energy Demand - non-renewable energ... megajoule 3.836765 \n", - " 2 Cumulative Energy Demand - non-renewable energ... megajoule 2.123550 \n", - " 1 Cumulative Energy Demand - non-renewable energ... megajoule 1.971050 \n", - " 0 Cumulative Energy Demand - non-renewable energ... megajoule 1.848123 \n", - " \n", - " 11010: Hard coal 12020: Natural gas, liquefied or in the gaseous state \\\n", - " 3 2.269998 1.202036 \n", - " 2 0.506017 0.195889 \n", - " 1 0.301199 0.284017 \n", - " 0 0.653061 0.000000 \n", - " \n", - " 6511: Road transport services of freight \\\n", - " 3 0.000000 \n", - " 2 0.370490 \n", - " 1 0.334112 \n", - " 0 0.000000 \n", + " 0 Cumulative Energy Demand - non-renewable energ... megajoule 3.612114 \n", + " 2 Cumulative Energy Demand - non-renewable energ... megajoule 2.889693 \n", + " 3 Cumulative Energy Demand - non-renewable energ... megajoule 2.659676 \n", + " 1 Cumulative Energy Demand - non-renewable energ... megajoule 2.096065 \n", + " \n", + " 11010: Hard coal \\\n", + " 0 2.579194 \n", + " 2 0.000000 \n", + " 3 0.768326 \n", + " 1 0.582310 \n", + " \n", + " 33: Coke oven products; refined petroleum products; nuclear fuel \\\n", + " 0 0.000000 \n", + " 2 2.493761 \n", + " 3 0.000000 \n", + " 1 0.000000 \n", " \n", " 12010: Petroleum oils and oils obtained from bituminous minerals, crude \\\n", - " 3 0.000000 \n", - " 2 0.364613 \n", - " 1 0.336887 \n", - " 0 0.251456 \n", - " \n", - " None 12030: Bituminous or oil shale and tar sands \\\n", - " 3 0.114098 0.000000 \n", - " 2 0.326391 0.000000 \n", - " 1 0.261870 0.000000 \n", - " 0 0.219424 0.302841 \n", - " \n", - " 17100: Electrical energy 11030: Brown coal 33370: Fuel oils n.e.c. \\\n", - " 3 0.000000 0.000000 0.000000 \n", - " 2 0.095596 0.000000 0.053196 \n", - " 1 0.170704 0.000000 0.086405 \n", - " 0 0.102016 0.106895 0.000000 \n", + " 0 0.000000 \n", + " 2 0.000000 \n", + " 3 1.203188 \n", + " 1 0.896618 \n", + " \n", + " 6511: Road transport services of freight None \\\n", + " 0 0.352180 0.280342 \n", + " 2 0.000000 0.074565 \n", + " 3 0.000000 0.233662 \n", + " 1 0.043198 0.183711 \n", + " \n", + " 12020: Natural gas, liquefied or in the gaseous state \\\n", + " 0 0.091341 \n", + " 2 0.000000 \n", + " 3 0.000000 \n", + " 1 0.000000 \n", + " \n", + " 17100: Electrical energy 33360: Gas oil \\\n", + " 0 0.000000 0.000000 \n", + " 2 0.000000 0.080916 \n", + " 3 0.084404 0.000000 \n", + " 1 0.083816 0.000000 \n", " \n", " 15200: Gypsum; anhydrite; limestone flux; limestone and other calcareous stone, of a kind used for the manufacture of[…] \\\n", - " 3 0.00000 \n", - " 2 0.00000 \n", - " 1 0.00000 \n", - " 0 0.04124 \n", + " 0 0.000000 \n", + " 2 0.000000 \n", + " 3 0.054269 \n", + " 1 0.047324 \n", " \n", " other \n", - " 3 0.247921 \n", - " 2 0.187524 \n", - " 1 0.177778 \n", - " 0 0.160049 ,\n", - " 'cement_l_a_n_d___o_c_c_u_p_a_t_i_o_n': activity product location unit method \\\n", - " 3 Portland Portland PE kilogram land occupation \n", - " 2 CEM III/B CEM III/B RoW kilogram land occupation \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram land occupation \n", - " 0 CEM II/B CEM II/B CH kilogram land occupation \n", - " \n", - " method unit total None 31230: Wood in chips or particles \\\n", - " 3 square meter-year 0.064829 0.040139 0.011081 \n", - " 2 square meter-year 0.038602 0.020071 0.002027 \n", - " 1 square meter-year 0.033959 0.015484 0.005119 \n", - " 0 square meter-year 0.017263 0.008661 0.001944 \n", - " \n", - " 17100: Electrical energy 11010: Hard coal \\\n", - " 3 0.006529 0.002577 \n", - " 2 0.004464 0.000953 \n", - " 1 0.004030 0.000000 \n", - " 0 0.002887 0.001143 \n", - " \n", - " 6511: Road transport services of freight 17300: Steam and hot water \\\n", - " 3 0.000000 0.000000 \n", - " 2 0.002422 0.002383 \n", - " 1 0.002342 0.001600 \n", - " 0 0.000000 0.000000 \n", - " \n", - " 53269: Other constructions for manufacturing 531: Buildings \\\n", - " 3 0.000000 0.001477 \n", - " 2 0.001805 0.001477 \n", - " 1 0.001829 0.001477 \n", - " 0 0.000000 0.000000 \n", - " \n", - " 31101: Wood, sawn or chipped lengthwise, sliced or peeled, of a thickness exceeding 6 mm, of coniferous wood \\\n", - " 3 0.000000 \n", - " 2 0.000000 \n", - " 1 0.000000 \n", - " 0 0.000476 \n", + " 0 0.304645 \n", + " 2 0.238398 \n", + " 3 0.302637 \n", + " 1 0.245228 ,\n", + " 'cement_land_occupation': activity product location unit \\\n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " \n", + " method method unit total 34510: Wood charcoal \\\n", + " 2 land occupation square meter-year 0.064432 0.028155 \n", + " 3 land occupation square meter-year 0.020833 0.000000 \n", + " 1 land occupation square meter-year 0.017850 0.000000 \n", + " 0 land occupation square meter-year 0.017573 0.000000 \n", + " \n", + " None 31230: Wood in chips or particles ... 17100: Electrical energy \\\n", + " 2 0.017723 0.010174 ... 0.002975 \n", + " 3 0.008998 0.002137 ... 0.002165 \n", + " 1 0.006899 0.002074 ... 0.002365 \n", + " 0 0.004462 0.000761 ... 0.000000 \n", + " \n", + " 531: Buildings \\\n", + " 2 0.000000 \n", + " 3 0.001633 \n", + " 1 0.001595 \n", + " 0 0.001477 \n", + " \n", + " 33: Coke oven products; refined petroleum products; nuclear fuel \\\n", + " 2 0.001488 \n", + " 3 0.000000 \n", + " 1 0.000000 \n", + " 0 0.000000 \n", + " \n", + " 35130: Printing ink 17300: Steam and hot water \\\n", + " 2 0.000000 0.000000 \n", + " 3 0.000000 0.001085 \n", + " 1 0.000000 0.000926 \n", + " 0 0.001479 0.000000 \n", + " \n", + " 53269: Other constructions for manufacturing 53261: Mining constructions \\\n", + " 2 0.000000 0.000000 \n", + " 3 0.000838 0.000573 \n", + " 1 0.000770 0.000434 \n", + " 0 0.001023 0.000000 \n", + " \n", + " 12010: Petroleum oils and oils obtained from bituminous minerals, crude \\\n", + " 2 0.000000 \n", + " 3 0.000532 \n", + " 1 0.000403 \n", + " 0 0.000000 \n", + " \n", + " 15200: Gypsum; anhydrite; limestone flux; limestone and other calcareous stone, of a kind used for the manufacture of[…] \\\n", + " 2 0.000000 \n", + " 3 0.000445 \n", + " 1 0.000385 \n", + " 0 0.000000 \n", " \n", " other \n", - " 3 0.002928 \n", - " 2 0.002617 \n", - " 1 0.001831 \n", - " 0 0.002050 ,\n", - " 'cement_u_s_e___o_f___n_e_t___f_r_e_s_h___w_a_t_e_r': activity product location unit \\\n", - " 3 Portland Portland PE kilogram \n", - " 0 CEM II/B CEM II/B CH kilogram \n", - " 1 CEM III/B CEM III/B Europe without Switzerlan kilogram \n", - " 2 CEM III/B CEM III/B RoW kilogram \n", - " \n", - " method method unit total None \\\n", - " 3 use of net fresh water cubic meter 0.002134 0.001221 \n", - " 0 use of net fresh water cubic meter 0.001092 0.000249 \n", - " 1 use of net fresh water cubic meter 0.001084 0.000353 \n", - " 2 use of net fresh water cubic meter 0.000639 0.000260 \n", - " \n", - " 17100: Electrical energy 39990: Other wastes n.e.c. ... \\\n", - " 3 0.000535 0.000000 ... \n", - " 0 0.000354 0.000000 ... \n", - " 1 0.000294 0.000486 ... \n", - " 2 0.000128 0.000456 ... \n", - " \n", - " 37430: Cement clinkers 17300: Steam and hot water \\\n", - " 3 0.000118 0.000000 \n", - " 0 -0.000032 0.000000 \n", - " 1 0.000000 0.000106 \n", - " 2 0.000000 0.000015 \n", + " 2 0.003819 \n", + " 3 0.001479 \n", + " 1 0.001240 \n", + " 0 0.001371 \n", + " \n", + " [4 rows x 22 columns],\n", + " 'cement_use_of_net_fresh_water': activity product location unit \\\n", + " 2 CP V RS CP V RS BR kilogram \n", + " 3 Portland Portland Europe without Switzerlan kilogram \n", + " 1 CEM II/B CEM II/B Europe without Switzerlan kilogram \n", + " 0 CEM II/A-S CEM II/A-S ZA kilogram \n", + " \n", + " method method unit total direct emissions None \\\n", + " 2 use of net fresh water cubic meter 0.002867 0.000183 0.001100 \n", + " 3 use of net fresh water cubic meter 0.001752 0.000000 0.000298 \n", + " 1 use of net fresh water cubic meter 0.001404 0.000000 0.000230 \n", + " 0 use of net fresh water cubic meter 0.000871 0.000000 0.000256 \n", + " \n", + " 17100: Electrical energy ... 34510: Wood charcoal \\\n", + " 2 0.000886 ... 0.000123 \n", + " 3 0.000277 ... 0.000000 \n", + " 1 0.000246 ... 0.000000 \n", + " 0 0.000054 ... 0.000000 \n", + " \n", + " 37440: Portland cement, aluminous cement, slag cement and similar hydraulic cements, except in the form of clinkers \\\n", + " 2 0.000000 \n", + " 3 0.000000 \n", + " 1 0.000000 \n", + " 0 0.000123 \n", " \n", " 15200: Gypsum; anhydrite; limestone flux; limestone and other calcareous stone, of a kind used for the manufacture of[…] \\\n", - " 3 0.000098 \n", - " 0 0.000095 \n", - " 1 0.000026 \n", - " 2 0.000028 \n", - " \n", - " 34651: Ammonia, anhydrous 6511: Road transport services of freight \\\n", - " 3 0.000000 0.000000 \n", - " 0 0.000075 0.000000 \n", - " 1 0.000000 0.000064 \n", - " 2 0.000000 0.000060 \n", - " \n", - " 11010: Hard coal 12030: Bituminous or oil shale and tar sands \\\n", - " 3 0.000046 0.000000 \n", - " 0 0.000000 0.000034 \n", - " 1 0.000000 0.000000 \n", - " 2 0.000033 0.000000 \n", - " \n", - " 531: Buildings 53269: Other constructions for manufacturing other \n", - " 3 0.000000 0.000000 0.000112 \n", - " 0 0.000000 0.000000 0.000072 \n", - " 1 0.000000 0.000000 0.000091 \n", - " 2 0.000021 0.000016 0.000064 \n", - " \n", - " [4 rows x 23 columns]}" + " 2 0.000093 \n", + " 3 0.000096 \n", + " 1 0.000088 \n", + " 0 0.000053 \n", + " \n", + " 35130: Printing ink 6511: Road transport services of freight \\\n", + " 2 0.000000 0.00000 \n", + " 3 0.000000 0.00000 \n", + " 1 0.000000 0.00000 \n", + " 0 0.000087 0.00007 \n", + " \n", + " 34651: Ammonia, anhydrous 11010: Hard coal 15310: Natural sands \\\n", + " 2 0.000000 0.000000 0.000000 \n", + " 3 0.000043 0.000000 0.000000 \n", + " 1 0.000033 0.000000 0.000000 \n", + " 0 0.000035 0.000042 0.000037 \n", + " \n", + " 531: Buildings other \n", + " 2 0.000000 0.000158 \n", + " 3 0.000000 0.000137 \n", + " 1 0.000000 0.000123 \n", + " 0 0.000021 0.000052 \n", + " \n", + " [4 rows x 25 columns]}" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1004,12 +961,12 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -1068,12 +1025,12 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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iIpIPlIgjIiIiIiIiIiIiIiL/CKtWraJ48eKPOgwRERER+RdTIo6IiIiIiIiIiIiIyD9caGgoXl5euLi4EBgYyIIFC4x9ycnJ9OjRA09PT9zd3RkwYIBV3bVr11K+fHmcnZ2pVKkSv/76a67rHjp0iCpVquDo6Ei5cuXYuXNnnuL++OOPKVmyJI6Ojvj5+TFs2DBSU1ON/dWqVePzzz/PU5uPo6FDh9K5c+dHHYaIiIiI5AP7Rx2AiIiIiIiIiIiIiMg/ls3HD7f9WyNyVWzEiBFERETg5OTE1q1badmyJQ0bNsTb25tRo0Zx6NAhDh8+zN9//03z5s35v//7PwYPHszFixfp3Lkz06dPJzQ0lJkzZ9K+fXtOnjxJwYIFs60L0KVLFxo1asS2bduYMWMGHTt25PTp0zg4OOQY89tvv82XX37J3LlzadSoEXv27KFbt27ExMTwzTffPNCw5SQlJSVXMYqIiIiI3CtPM+KkpKTw1FNPcfjw4YcVj4iIiIiIiIiIiIiI5LOgoCCcnJwAsLGxISUlhTNnzgCwfv16Bg0ahJeXF35+fvTr14/58+cDsGnTJnx9fenWrRv29vYMGDAAOzs71qxZk2PdAwcOcOLECcaNG4fJZGL48OHcunWLtWvX5hjvlStXmDJlCv/3f/9Hs2bNcHBwoEaNGnz99dcsXLiQP/74g2HDhrFnzx4GDRqEyWRi5MiRRv1hw4ZhsVjw8/Nj+fLlxvaLFy8SEhJCoUKFKFq0KDNmzDD2VatWjUGDBlGhQgWcnZ25efOmVUxt2rRh8uTJAGzYsAEbGxtjHCZPnkybNm0AWLhwIYGBgTg7O+Pv78+cOXOMNhYuXEjJkiVxdnbGz8+P2bNns2rVKqZNm8ayZcswmUzUrVsXgOPHj1O/fn3c3NwICAhg2bJlRjtvvfWW1QxHv//+e4YxPHr0KPb29kyZMgUvLy88PT2t+nuv7I53rx07dlC1alXMZjM+Pj5WfRQRERH5t8tTIo6DgwM3btx4WLGIiIiIiIiIiIiIiMhD0q1bNxwdHalbty41atSgatWqmZa7desWx48ft3p/7/4//vgjx7r79++nRIkSRgIQQJkyZYy64eHhBAYGZtrOf//7X1JTU3nhhResttesWZMiRYqwdu1aJk6cyLPPPsvUqVNJTk5m/PjxAMTExFCgQAEuX77MkCFDrJbLeuGFF/Dx8SE6OpqVK1cyZswYdu3aZexfvnw5ixYt4urVqxlmxKlTpw7btm0DYPPmzfj5+bFlyxYAtm3bRp06dQCwWCwsXbqUhIQEJk2aRP/+/Tl37hwAAwYM4IsvviApKYmdO3dSpUoVWrRowRtvvEGHDh1ITk5m69atpKWl0apVK5o0acKlS5eYNWsWvXr1Iioqin379vHVV1/x+++/k5CQwOLFi/Hy8sp0HNPS0jh48CDnzp1j1qxZDB8+nKtXr2ZaLqvj3evKlSu0bNmSF198kcuXL7Nnzx4qVqyY6fFFRERE/o3ylIgD0L9/fz7++GOrNVhFREREREREREREROTxNm/ePK5du8aKFSto3Lgxtra3HxE0atSIKVOmEBsbS2RkJJ9++inXr18HoEGDBkRHRzNnzhxu3rzJ1KlTiYqKIikpKce6165dw8XFxSoGs9lMYmIiAH369OHYsWOZxnrx4kXc3d2xt7fPsM/T05PLly9n2U8nJyfGjBmDg4MDvXv3JjY2lsuXL3Pu3Dl27drFtGnTcHJyIigoiHbt2rF48WKjbteuXSlfvjwmk8kYnzsaNmxoJO388ssvvPHGG2zfvh2AX3/9lQYNGgDQvHlzKlWqhJ2dHZ06dSIwMNAoZ29vz8GDB4mPj6dYsWJUqVIl0z5s2bKFmzdvMmrUKBwcHGjUqBHVq1fnu+++w8HBgb///pv9+/eTlpZGUFAQxYoVy3I8xo8fj6OjI+3atcPR0THTVQ+yO969lixZQokSJRg8eDAFCxbE19eX4ODgLI8vIiIi8m+T50Sc3377jeXLl1O8eHGaNm1K+/btrV4iIiIiIiIiIiIiIvJ4sre3JyQkhE2bNrFkyRIAxo0bR/ny5QkKCqJ27dqEhITg7e0NgLe3N4sWLWLy5Ml4e3uzceNGatWqRdGiRXOs6+LiwrVr16yOn5iYiNlszjFOLy8v4uLiMv2j4MuXL+Pp6ZllXXd3d+zs7ACMYyUkJHDq1Cn+/vtvPD09MZvNmM1m5s+fz/nz54262SW0VK5cmeTkZI4ePcrhw4cZMGAAR48e5dixYyQlJRlJNevWraNKlSpYLBbMZjMHDx40EocWLFjAihUrKFq0KM899xx79+7N9FhnzpwhKirKiNNsNrN161ZiY2MpX748Y8eOZfTo0Xh5edG5c2fi4uIybcfOzs44H3A7SelOIlRuj3evc+fOUbx48SzHSUREROTfLs+JOG5ubnTo0IGmTZvi6+uLxWKxeomIiIiIiIiIiIiIyOMtNTXVmI3G2dmZuXPncuHCBaKiovDw8CAoKMgo27x5cw4ePMjVq1dZvnw5p0+fplatWjnWfeaZZ4iMjDRmyAE4evRorpYxql+/Pvb29laz1QDs2LGD2NhYnn/+eQBsbGxy3efixYtjMpmIj48nMTGRxMREkpKS+Oabb3JV39bWluDgYD755BOeeuopTCYTpUuX5v/+7/+oUqWKMYNOz549CQsL48KFCyQmJlKhQgVjea8GDRrw3//+l4sXL1KxYkX69OmTaT+KFStGQECAEWdiYiLJycmMGzcOgNdee419+/Zx+PBhzp07x4cffpjrcchMTse7W/HixY2ltkREREQkozwn4syZMyfbl4iIiIiIiIiIiIiIPD6uXLlCeHg48fHxpKSkMGfOHHbt2kXDhg0BOHXqFJGRkaSlpbFx40amTJnCu+++a9T/5ZdfSElJ4cqVK/Tp04egoCAqV66cY91KlSrx1FNP8c4773D9+nUmT56MjY0NTZs2zTFmT09P3njjDQYPHsyaNWtISUlh165dvPTSS3Tq1IlKlSoZ5U6fPp2rcShZsiRBQUEMGjSIxMREUlJS2L59O7///nuux7J27dp8/fXXRiJSrVq1mDdvHrVr1zbKJCcn4+npSYECBZg7dy5//vknADdu3CA8PJy4uDgKFCiAs7OzMXNP4cKFiYqKIj09HbidiHTr1i0mTJjAjRs3uHHjBmvXruX48eMcOHCAVatWcePGDVxcXChQoECGZbTyKrvj3atjx46cPn2aadOmcfPmTWJiYti9e/cDHV9ERETkn+S+fjJLTU1lw4YNhIeHG1MYxsTEZJhiUkREREREREREREREHi1bW1siIiIoWrQohQoVYtKkScyaNYuaNWsCcOjQIWrUqIGzszOvvfYaU6ZMoVq1akb9Dz74AHd3d0qWLJlhBpmc6i5YsIBNmzbh7u7O7NmzWbJkCQ4ODgDMnDmTUqVKZRn3hAkTGDRoEH379sXFxYV27doREhLC/PnzjTIDBw5k4cKFmM1m3n777RzHYunSpURHR1OyZEk8PT0ZOHAgycnJuR7L+vXrk5SURN26dYHbM9wkJSVRr149o8zHH3/MsGHDsFgsrFmzxmo85s+fj7+/P25ubmzevJnPPvsMgK5du5KUlITFYqFBgwY4ODjw008/sX79enx8fPDx8eHDDz8kPT2d69evM3z4cDw8PChevDiurq6MHj061324Y+TIkUY/sjseQFhYGGFhYQB4eHjw448/MnfuXDw9PQkODjaSje5uU0REROTfyubWnfkQcykyMpJmzZpx9uxZbt68ybFjxwgICGDgwIHcvHmTmTNnPqxYnzgJCQlYLBbi4+NxdXV91OH889hse9QRiNy/W3UedQQi9+2X3M/4LPLYqZWnn3xFREREREQyl9XvfuPj44mMjKRUqVKYTKZHGKGIiIiIiOSn5ORkTpw4gb+/PxaLJduyeZ4RZ+DAgQQHBxMXF4eTk5OxvV27dmzcuDHv0YqIiIiIiIiIiIiIiIiIiIiI/APY57XCzz//zC+//EKBAgWstpcoUYLo6Oh8C0xERERERERERERERERERERE5EmS5xlx0tPTSUtLy7A9KioKs9mcL0GJiIiIiIiIiIiIiIiIiIiIiDxp8pyI8/zzzzN16lTjvY2NDdeuXeO9996jRYsW+RmbiIiIiIiIiIiIiIiIiIiIiMgTI89LU02ePJmmTZtSrlw5bty4wYsvvsjx48fx9PRkwYIFDyNGEREREREREREREREREREREZHHXp4TcYoWLcr+/ftZtGgR+/fv59q1a7zyyiuEhYXh5OT0MGIUEREREREREREREREREREREXns5TkRZ+vWrdSqVYuwsDDCwsKM7ampqWzdupW6devma4AiIiIiIiIiIiIiIiIiIiIiIk8C27xWaNCgAX/99VeG7fHx8TRo0CDPAXz66aeUKFECR0dHqlevzq+//ppt+SVLllC2bFkcHR2pWLEiq1atstp/69Yt3n33XXx8fHBycqJx48YcP37cqszYsWOpVasWJpMJNze3TI9jY2OT4bVw4cI8909ERERERERERERERERERERE/h3ynIhz69YtbGxsMmy/cuUKzs7OeWpr0aJFDBkyhPfee4/ff/+dZ555hqZNm3Lx4sVMy//yyy+EhobyyiuvsHfvXtq2bUvbtm05ePCgUWbChAlMmzaNmTNnsmvXLpydnWnatCk3btwwyvz999906tSJ1157Ldv45syZQ2xsrPFq27ZtnvonIiIiIiIiIiIiIiIPh8lk4syZM3muN336dGrVqgXA8ePHMZvN+RzZ/zN06FA6d+780NoXERERkcdPrhNx2rdvT/v27bGxsaFHjx7G+/bt29OmTRuaNm1q/OCaW1OmTOHVV1+lZ8+elCtXjpkzZ2IymYiIiMi0/CeffEKzZs0YNmwYTz/9NB988AFVqlRhxowZwO0koalTpzJ69GjatGlDpUqV+Prrr4mJieH777832nn//fcZPHgwFStWzDY+Nzc3ihQpYrwcHR3z1D8RERERERERERERkcdBaGgoXl5euLi4EBgYyIIFC4x906dPx97eHpPJZLzunWke4O2338bGxoZ169YZ206ePEmDBg0wm834+flZ/X4/JSWFZs2aUaRIEWxsbDh69GieYraxscHJyQmTyUShQoUIDQ21+qPb5ORkSpQokac271W6dGkSExMfqA0RERERkbvZ57agxWIBbie7mM1mnJycjH0FChSgRo0avPrqq7k+8N9//82ePXsYOXKksc3W1pbGjRuzY8eOTOvs2LGDIUOGWG1r2rSpkWRz+vRpzp8/T+PGja3irl69Ojt27KBLly65jg+gf//+9OrVi4CAAPr27UvPnj0znQ3ojps3b3Lz5k3jfUJCQp6OJyIi8iQ4eSvr70KRx10tbj3qEERERERE5F/G5qWH2/6tr3NXbsSIEURERODk5MTWrVtp2bIlDRs2xNvbG4Bq1arxyy+/ZFn/9OnTLFu2DC8vL6vtXbp0oUqVKqxZs4Y9e/bQsmVLqlSpQlBQEAB16tRh2LBhtGjR4r769+effxIQEMCFCxd4/vnnmTx5MqNGjbqvtkRERERE/hdyPSPOnDlzmDNnDu+99x5ffvml8X7OnDmEh4czcuRIPD09c33gy5cvk5aWZvyQf4e3tzfnz5/PtM758+ezLX/n37y0mZUxY8awePFi1q9fT4cOHejXrx/Tp0/Pts748eOxWCzGq1ixYnk6poiIiIiIiIiIiIjIwxAUFGT8ga2NjQ0pKSl5Wtbp9ddfZ/To0Tg4OBjb4uPj2bNnDx999BEFCxakVq1aNG3alDlz5gDg4ODA6NGjadSo0QPH7+3tTYMGDTh8+LCxzcbGhlOnTgFw6dIlWrdujbu7O8WKFWPSpElGuYSEBNq0aYPZbKZcuXJWs/0cPXoUe/v/9zfLFy9eJCQkhEKFClG0aFFjRn64PWu/r68vzs7OlCxZklWrVgGQlJRE9+7dKVy4MN7e3rz99tsP3F8REREReXLlOhHnjvfee4+CBQuyYcMGwsPDjSkbY2JiuHbtWr4H+Ki888471K5dm8qVKzNixAiGDx/OxIkTs60zcuRI4uPjjde5c+f+R9GKiIiIiIiIiIiIiGSvW7duODo6UrduXWrUqEHVqlWNffv27cPNzY2nnnoqw+/CV61axV9//UW3bt2stt+6dYtbt26Rnp5ute3uZJnsvP322zRo0CBXZaOjo9m0aRPVq1fPdH+vXr0AOHv2LEuXLmXs2LGsXr0auD0b0KVLlzh79izffvstixcvzvI4L7zwAj4+PkRHR7Ny5UrGjBnDrl27SEhIYNSoUaxbt46kpCTWrl1LQEAAAK+99hpxcXEcP36cXbt2sXjxYhYuXJirfomIiIjIP0+eE3EiIyOpWLEibdq0oX///ly6dAmAjz/+mDfffDPX7Xh6emJnZ8eFCxestl+4cIEiRYpkWqdIkSLZlr/zb17azK3q1asTFRVltfTUvQoWLIirq6vVS0RERERERERERETkcTBv3jyuXbvGihUraNy4Mba2tx8RNGnShL1793LlyhVmz57NxIkTmTt3LgApKSkMHTqUadOmZWjPzc2NKlWqMGLECK5fv87PP//MqlWrSE5OzlU848aNY/PmzdmWeeaZZzCbzRQtWhQ7Ozt69OiRoUxqaiqrVq1i4sSJmM1mqlevTlhYGPPmzQPghx9+YPTo0bi7uxMUFETnzp0zPda5c+fYtWsX06ZNw8nJiaCgINq1a2ck7tjY2LBv3z6uX79OYGAgZcuWJT09ncWLFzNt2jQsFgslSpTglVdeYenSpbkaAxERERH558lzIs7AgQMJDg4mLi7OmMYSoF27dmzcuDHX7RQoUIBnn33Wqk56ejobN26kZs2amdapWbNmhmOsX7/eKF+yZEmKFCliVSYhIYFdu3Zl2WZu7du3D3d3dwoWLPhA7YiIiIiIiIiIiIiIPCr29vaEhISwadMmlixZAkDZsmUpU6YMdnZ2NGjQgF69erF8+XLg9h/hVq9eneDg4EzbW7BgASdPnsTX15f+/fvTsWNHfH198y3e/fv3k5iYyNWrVylRogQdO3bMUOb8+fOkpqZSqlQpY5u/vz/nz58H4PLly5QoUcLYV6xYsUyPderUKf7++288PT0xm82YzWbmz5/P+fPncXV1JSIighkzZlC4cGGaN2/OmTNniI2N5ebNm1SsWNGoM3bsWC5evJhvYyAiIiIiTxb7nItY+/nnn/nll18oUKCA1fYSJUoQHR2dp7aGDBlC9+7dCQ4Oplq1akydOpWkpCR69uwJwEsvvYSfnx/jx48HbicB1atXj8mTJ9OyZUsWLlzI7t27+eKLL4Db2eiDBg3iww8/pHTp0pQsWZJ33nkHX19f2rZtaxz37Nmz/PXXX5w9e5a0tDT27dsHQKlSpXBxceHHH3/kwoUL1KhRA0dHR9avX8+4cePyNOOPiIiIiIiIiIiIiMjjKjU1lWPHjmW6z87Ojlu3bgGwZcsWfv31V1auXAlAXFwcL7zwAu+++y5DhgwhMDDQalabkJAQnnvuuXyP12Kx0KVLF+P5wd2KFCmCvb09J06coGzZssDt2f3vzJTv6enJmTNnKFeuHHB75pvMFC9eHJPJRHx8vDFb0N06depEp06diI+Pp3v37rz55pssWrSIAgUKcPLkSQoXLpxf3RURERGRJ1ieZ8RJT08nLS0tw/aoqCjMZnOe2urcuTOTJk3i3XffJSgoiH379rFmzRq8vb2B2wkzsbGxRvlatWrx7bff8sUXX/DMM8+wdOlSvv/+eypUqGCUGT58OK+//jq9e/ematWqXLt2jTVr1uDo6GiUeffdd6lcuTLvvfce165do3LlylSuXJndu3cD4ODgwKeffkrNmjUJCgoiPDycKVOm8N577+WpfyIiIiIiIiIiIiIij9qVK1cIDw8nPj6elJQU5syZw65du2jYsCEAy5YtIyYmBoDt27fzxRdfEBISAtye8ebgwYPs3buXvXv34uXlxWeffcarr74KwO+//058fDzXr1/n888/Z+/evQwYMMA49vXr142lqm7evJnrZavulZSUxOLFiwkICMiwz97enubNmzNixAgSExPZvXs3CxYs4MUXXwSgdevWjBs3jri4OA4cOGAsNXWvkiVLEhQUxKBBg0hMTCQlJYXt27fz+++/ExUVxcKFC0lKSsLR0REnJyfs7Oyws7OjQ4cO9OvXj8uXL5OWlsbevXvZsmXLffVTRERERJ58eU7Eef7555k6darx3sbGhmvXrvHee+/RokWLPAcwYMAAIiMjuXnzJrt27aJ69erGvv/+97989dVXVuU7derE0aNHuXnzJgcPHsxwTBsbG8aMGcP58+e5ceMGGzZsIDAw0KrMV199xa1btzK86tevD0CzZs3Yu3cviYmJXLt2jX379tGnT59MM+BFRERERERERERERB5ntra2REREULRoUQoVKsSkSZOYNWsWNWvWBGDt2rVUqFABJycnwsLCeOONN+jVqxdwezaZYsWKGS87Oztj6SaAFStW4O/vj4eHB/Pnz+enn37CycnJOHapUqVwdnbm77//5plnnsHZ2dnYN3LkSOrWrZtt7OXLl8dkMuHj48OFCxeYP39+puVmz55NamoqxYoVo23btowYMYJWrVoBt5fXcnd3p3jx4nTp0oVOnTplebylS5cSHR1NyZIl8fT0ZODAgSQnJ5OWlsakSZPw9vbGy8uL2NhYJkyYAEB4eDgWi4UKFSrg5uZGt27duHLlSk6nRURERET+oWxu3ZlfMpeioqJo2rQpt27d4vjx4wQHB3P8+HE8PT3ZunWrpl68S0JCAhaLhfj4eFxdXR91OP88NtsedQQi9+9WnUcdgch9m4fNow5B5L51I08/+oqIiIiIiGQqq9/9xsfHExkZSalSpTCZTI8wQhERERERyU/JycmcOHECf39/LBZLtmXt89p40aJF2b9/PwsXLuTAgQNcu3aNV155hbCwMKssdxERERERERERERERERERERGRf5M8J+LA7fVWu3btmt+xiIiIiIiIiIiIiIiIiIiIiIg8se4rEScmJoZt27Zx8eJF0tPTrfa98cYb+RKYiIiIiIiIiIiIiIiIiIiIiMiTJM+JOF999RV9+vShQIECeHh4YGNjY+yzsbFRIo6IiIiIiIiIiIiIiIiIiIiI/CvlORHnnXfe4d1332XkyJHY2to+jJhERERERERERERERERERERERJ44ec6kSU5OpkuXLkrCERERERERERERERERERERERG5S56zaV555RWWLFnyMGIREREREREREREREREREREREXli5XlpqvHjx9OqVSvWrFlDxYoVcXBwsNo/ZcqUfAtORERERERERERERERERERERORJkecZccaPH8/atWu5cOECf/zxB3v37jVe+/btewghioiIiIiIiIiIiIiIPHx+fn6sW7cuT3U6duzI8OHDH1JED+5++iQiIiIi9y/PM+JMnjyZiIgIevTo8RDCERERERERERERERH557Dh/Yfa/i3ey1W50NBQNmzYwPXr1/H19eX9998nNDTUqkxKSgrly5fnxo0bnD171thuY2ODo6MjNjY2AAwcOJDx48cD8NVXX/F///d/HDlyhNatW7N06VKrNpcuXcqQIUO4dOkStWvXZsGCBXh5eeUYb40aNWjfvr2R4PLjjz8SEhLCjz/+SKtWrQD4+OOP+f7779mxY0euxkBERERE5H8hzzPiFCxYkNq1az+MWERERERERCQrNjZ66fXkvkREROSRGzFiBGfPnuXatWvMnj2b3r17c+HCBasyH330EWazOdP6f/75J8nJySQnJxtJOAAeHh4MHjyYl156KUOd6OhoevbsyeTJk7l48SIWi4XevXvnKt4aNWqwfft24/3WrVspUaIEW7ZsMbZt376dGjVq5Kq9J0FKSsqjDkFERERE8kGeE3EGDhzI9OnTH0YsIiIiIiIiIiIiIiLyEAQFBeHk5ASAjY0NKSkpnDlzxtgfFRXFV199leclllq3bk2PHj0yneVmwYIFVKxYkU6dOmE2mxk7diyrVq0iKSkpx3br16/Pb7/9ZrzfsWMHAwYMYOfOnca23377jfr16wO3Z8cpWrQo7u7utG3blitXrhjlvv76awICAnB1daVBgwacPn3a2Ld06VKKFy+OxWLhzTffzDamI0eOUL9+fdzc3PDy8mLs2LHGvkuXLlGzZk2cnZ2pU6cOFy9eNPY9//zzFCpUCIvFQvPmzY19R48exd7enokTJ1K4cGE6depESkoKgwYNwtfXF7PZTLVq1XLVjx49elC4cGHMZjN16tTh+PHjOY6xiIiIiDwceU7E+fXXX5k7dy4BAQG0bt2a9u3bW71EREREREREREREROTx061bNxwdHalbty41atSgatWqxr5Bgwbx5ptvZjkjTo0aNShcuDAdO3bMMJNOVg4dOkT58uWN92XLlsXe3p7Dhw8b8XTr1i3Tug0aNODixYucOnWK1NRUjh07Rr9+/Th69CipqakcP36cS5cuUb9+fb7//nsmTZrEDz/8QGRkJNevX6dPnz4A7Nu3j/79+zNz5kwuXLhAiRIl6NKlCwAxMTF0796dCRMmcOHCBZKSkrLsW0pKCi1btuTZZ58lJiaGY8eOUa9ePWP/jz/+yNSpU7l06RJpaWlWswa1a9eOM2fOcOrUKa5du8bIkSONfWlpaezbt48zZ87wzTff8M4777Bp0ya2bNlCXFwcY8aMybEfAHXq1OHw4cOcP38eX19f+vXrl6tzJCIiIiL5L8+JOG5ubrRv35569erh6emJxWKxeomIiIiIiIiIiIiIyONn3rx5XLt2jRUrVtC4cWNsbW8/Iti4cSOnTp0yklfutWbNGs6dO8e+fftITk4mNDQ0V8dLSkrC1dXVapuzszMJCQlGPPPmzcu0rsVioWzZsmzYsIFdu3ZRqlQpnJyceOqpp/j111/ZtGkTZcuWxWKxsGDBArp27UqVKlVwdXVl4sSJrFy5kvT0dL755huef/55nn/+eZycnJg6dSp79uwhMjKS5cuXU758ebp06YKjoyMTJkzAJotlNf/73/+SlJTEhAkTMJlMuLu7U6dOHWN/q1atqF69OiaTibZt23Lw4EFj32uvvYarq6uxjNeuXbus2h43bhwmkwlnZ2cWLFjAmDFjKF26NPb29jRr1gwg234A9OrVCw8PD5ydnRk9ejS7d+/O1TkSERERkfxnn9cKc+bMeRhxiIiIiIiIiIiIiIjIQ2Zvb09ISAhTp06lTJkytG/fnoEDB/LZZ58ZiTn3atq0KQC+vr6Eh4dTokQJkpOTMZlM2R7r7qSbOzJLzslK9erV2bZtG5cuXaJ69erGts2bN3PkyBFq1KgBQGxsLDVr1jTqlSpVips3b3Lp0iViY2MpVqyYsc9iseDm5sa5c+eIiYnBz8/P2Gc2m3Fzc8s0lrNnz+Ln54ednV2m+wsXLmz832QyGctvpaSk0LdvX1avXk1CQgK3bt2yOoatrS3+/v7G+wsXLlC6dOkM7WfXD39/f9566y2+/fZb/vrrL2xsbLh27VqmcYqIiIjIw5fnGXFEREREREREREREROTJdme5p7i4OA4fPkz79u3x9PQkNDSUmJgYPD09iYuLy1DvTrLOrVu3cjxGuXLlOHTokPH+zrJSTz/9dK5irFu3Lrt27WL79u3UrVvX2PbLL7+wa9cuY5uPj48xMwzAyZMnKViwIF5eXvj4+HDu3DljX0JCAlevXqVYsWL4+voSHR1t7EtKSuLq1auZxuLv7090dDTp6em5iv2O8PBwtm/fzvbt27l27VqGGYDunYGnSJEinDhxIkM72fVj9erVRERE8NNPP5GQkMD27dvzFKOIiIiI5C8l4oiIiIiIiIiIiIiI/INduXKF8PBw4uPjSUlJYc6cOezatYuGDRtSqFAhzpw5w969e9m7dy/Tp0/H29ubvXv3YrFY2LNnDzt37iQ1NZVLly7x2muvUatWLZydnYHbCT3JycmkpqaSlpZGcnIyKSkpAISGhnLgwAGWLVtGYmIio0aNokWLFkbdnDRq1IgTJ06wa9cu6tevD0C9evXYuXMnJ0+epFGjRgB06dKFb775hr1795KQkMDw4cNp2bIltra2vPjii6xbt44NGzZw48YNhgwZQuXKlfH396d9+/b8+eefLFmyhBs3bjB8+PAsE4zq1auHs7MzI0aMIDk5mbi4OLZt25ZjHxITEylYsCCenp7ExsYyefLkbMuHhoby7rvvcvLkSVJTU1mzZg1Atv2Ij4/HwcEBb29vEhMTee+993I1viIiIiLycCgRR0RERERERERERETkH8zW1paIiAiKFi1KoUKFmDRpErNmzaJmzZrY2tpSrFgx4+Xp6YmdnR3FihXD1taWmJgYunTpgtls5umnn8bOzo6FCxcabX/++ec4OzszceJEvv/+e5ydnXnrrbcA8PPzIyIigkGDBuHl5UVcXBxffPGFUTcsLIywsLAs4y5atKgRk7u7OwAeHh54enpSrFgxY1mpdu3aMXDgQFq1aoW/vz8ODg7MnDkTgMqVKzNt2jReffVVChcuzPHjx434fX19+fLLLxkyZAiFCxfGyckJb2/vTGNxcHBg5cqV7Ny5kyJFihAYGMjPP/+c49j37dsXi8VCkSJFqF27Nk2aNMm2/H/+8x/q1atH7dq1cXd35z//+U+O/ejQoQPBwcGULFmScuXKWS3TJSIiIiL/eza3cjN/pNyXhIQELBYL8fHxuV7zVvLAJue/NhB5bN2q86gjELlv87DJuZDIY6ob+tFXnmA2uv/KE0y/ehARkX+YrH73Gx8fT2RkJKVKlcJkMj3CCEVEREREJD8lJydz4sQJ/P39sVgs2ZbVjDgiIiIiIiIiIiIiIiIiIiIiIvkgz4k4b7zxBtOmTcuwfcaMGQwaNCg/YhIREREREREREREREREREREReeLkORFn2bJl1K5dO8P2WrVqsXTp0nwJSkRERERERERERERERERERETkSZPnRJwrV65kut6Vq6srly9fzpegRERERERERERERERERERERESeNHlOxClVqhRr1qzJsH316tUEBATkS1AiIiIiIiIiIiIiIiIiIiIiIk8a+7xWGDJkCAMGDODSpUs0bNgQgI0bNzJ58mSmTp2a3/GJiIiIiIiIiIiIiIiIiIiIiDwR8pyI8/LLL3Pz5k3Gjh3LBx98AECJEiX4/PPPeemll/I9QBERERERERERERERERERERGRJ0Gel6YCeO2114iKiuLChQskJCRw6tQpJeGIiIiIiIiIiIiIiMgTwcbGhlOnTj0x7T5Jpk+fTq1atfK93bVr11KmTJl8b1eyVq1aNT7//PNHHcY/1v2Mb926dfnyyy/v63gmk4kzZ84A0LFjR4YPH35f7dwrv66TVatWUbx48XyIKKO7Y5w5c6ax6os8ucLCwnjnnXfypa38/DyMHTuWQoUK4e7uni/t5Zf7jevun2vyMub6eeg+E3Hu8PLywsXFJb9iERERERERERERERGRhyA0NNT4nX5gYCALFiww9oWFhWEymYyXg4MDgYGBGdqYPXs2NjY2mT5wvXLlCp6enhkSMJYuXUrx4sVxcnKicePGXLp0KVfxHj16FBsbGyMmf39/pkyZksde35afD9j+qZ6EMWratClHjx591GE8Efz8/Fi3bt2jDuOJ9LgnH23dupVXXnnlvuomJydTokSJ/A3oCdS3b182bdr0qMPIV0OHDqVz586POox8lVMixzfffGOs3pMXR48exd4+z4sG5cqNGzf44IMP2LJlC3FxcQ/lGPcjv+K63zH/t8rVVValShU2btyIu7s7lStXxsbGJsuyv//+e74FJyIiIiIiIiIiIiLyJLMJf7jt3+qTu3IjRowgIiICJycntm7dSsuWLWnYsCHe3t588803VmXr1q1L1apVrbYlJCTw8ccfU6pUqUzbHz58OP7+/lbboqOj6dmzJxERETRr1owePXrQu3dvvvvuu1zFbGdnR3JyMunp6SxevJiwsDDq1avHs88+m7tOA6mpqbkuKyIi2UtJScHBweFfc1yRvIiJiSE1NZWKFSvmue7DvMYfJK5HKTU19aElTf0v5GpGnDZt2lCwYEEA2rZtS5s2bbJ8iYiIiIiIiIiIiIjI4yUoKAgnJyfg9l+Zp6SkGEuU3O3cuXP88ssvGWZcGDlyJN26dct0SYPdu3fz22+/8dJLL1ltX7BgARUrVqRTp06YzWbGjh3LqlWrSEpKylPstra2dOnSBYvFwh9//EFycjIvvfQSnp6e+Pj4MGzYMNLS0oDbswK0bt2apk2bYjKZmDlzJt9//z1Tp07FZDIRFhaWof2FCxcSGBiIs7Mz/v7+zJkzx9jXsWNHevbsSc2aNXF2dqZOnTpcvHjR2P/JJ59QpEgRPD09mTx5crb92LFjB1WrVsVsNuPj42McJykpie7du1O4cGG8vb15++23Mxy/evXqmEwmGjZsSExMDM2aNcPFxYXq1atz4cIFo/zq1aspX748ZrOZatWqcejQIeD/zQAwZcoUvLy88PT0ZMaMGQDMmDEjxzG61+bNm6lQoQIuLi74+voyduzYTMtlNvPA3bO1VKtWjUGDBlG+fHlMJhOdO3cmMjKSGjVq4OLiQtOmTbl+/TqQcdkaGxsbJkyYgJ+fH+7u7lbjltM1cvfMEXe3m5SUROvWrbFYLFgsFoKDg7Mcgy+//JLSpUvj7OxMYGAgBw4cAOD48ePUr18fNzc3AgICWLZsmVXf3333XQICAnB2dmbQoEEcOHCAChUqYDabM4z9Rx99hL+/P+7u7nTo0IGEhATg9vJfNWrUoGvXrri4uPDUU0+xfft2ADp37kxsbCwhISHGZyAnb731ltWMWZn90f2hQ4cIDg7GbDZTuHBhBgwYYLV/2LBhFCpUCD8/P8aOHZvtw9Mff/zRuH78/f1Zu3YtABcvXiQkJIRChQpRtGhR4xqFvF0rAF999RWlSpXCYrHQqFEjoqOjgf93vocNG4bFYsHPz4/ly5cbfdizZw+DBg3CZDIxcuTIPI1DducFbs9mExgYiIuLC2FhYaSnp+f5nNw9Y8/QoUMJCQkx7ndVqlTh3LlzhIWFYTabKVeuHIcPHzbazGqGkUuXLvHcc8/h7u6Ou7s7oaGhGT53gwcPxt3dnaFDh2Ya77Fjx4xz2rJlS6N+yZIlWbVqlVHuyJEjmM1mkpOTSU1N5eWXX8bNzY2SJUuybds2o9yde8fEiRMpXLgwnTp1ylWcd8uqv/cun5fVvfleR44cMT7bXl5exn0vNTWVwYMH4+vri4eHB7179yYlJeW+ztGvv/5KcHAwrq6ulC9fnp9//tmqP5nd81atWsW0adNYtmwZJpOJunXrkpaWRs+ePXF3d8dsNlOhQgViY2Mz7de9MrvvpKenU6tWLYYNG2b0uVKlSkyYMOGBxqZ169Y0adIEZ2dngoODjVnP6tSpA2B83u/cI+5290xuOX327ta0aVPS0tKMGfeOHz8O3P4cZPVdn9V3692OHz9O+fLljbabN28OwNdff01AQACurq40aNCA06dPA5lf43n9zr9bWloagwcPpkiRInh5edGzZ0+uX7+eZVz3Gjt2LP7+/jg7O1OpUqVMj3O/Yz5v3jyKFSvGwYMHc3VN3Pm8rFy5kk8++QRfX1+cnZ0z3E8ed7lKxHnvvfcwmUzG/7N7iYiIiIiIiIiIiIjI46dbt244OjpSt25datSokWHWG4A5c+ZQqVIlypUrZ2z7448/2LBhAyNGjMi03QEDBjBx4kRsba0fORw6dIjy5csb78uWLYu9vb3x0LFbt25069Ytx7jT09P59ttvSUhIoEqVKrz11lscOXKEw4cPs3XrVpYsWcJnn31mlF+3bh19+/YlMTGRl19+mbZt2zJo0CCSk5MzzP4DYLFYWLp0KQkJCUyaNIn+/ftz7tw5Y/+PP/7I1KlTuXTpEmlpaYwfPx64nYA0atQoFixYQGRkZJYPoOD20l0tW7bkxRdf5PLly+zZs8f4y/TXXnuNuLg4jh8/zq5du1i8eDELFy406q5cuZLPPvuMmJgYoqKiqF27NoMHD+by5cs4ODjw0UcfAXDy5ElefPFFpkyZQlxcHG3atOGFF14w2klLS+PgwYOcO3eOWbNmMXz4cK5evcqAAQNyHKN7FShQgPDwcOLj41m0aBEfffQRv/zyS471MrNy5Up++OEHjh49ysaNG2nZsiWffvopUVFRnD59mlmzZmVZd/PmzRw6dIj169czefJk4+FoTtdIVj777DOSk5OJiYnh8uXLWSYYrV+/njfffJPPPvuMhIQEFi9ejMViIS0tjVatWtGkSRMuXbrErFmz6NWrF1FRUUbdNWvWsHPnTrZv387nn39Ov379WLFiBYcOHWLt2rWsXLkSuP1ZjIiIYP369URFRZGSkmI8BIfb11/dunW5evUqrVq1YtCgQQAsWrQIHx8ffvjhB5KTk+nbt2+2fd63bx9fffUVv//+u9EXLy+vTMt+8MEH/PXXX2zatIlly5Yxf/584HbS3fz589m2bRsHDhxgzZo1WR7v8OHDhIaGMnr0aK5evcqGDRsoWrQoAC+88AI+Pj5ER0ezcuVKxowZw65du4y6ub1WtmzZwogRI/j222+5ePEigYGBVsmFMTExFChQgMuXLzNkyBAjmWbixIk8++yzTJ06leTkZOOznttxyO683LhxgxdeeIFevXpx5coVypUrx759+x74nKxfv54hQ4bw119/YTKZqFGjBo0aNeKvv/6iYsWKjB49OstzcUd6ejr9+vUjJiaGffv2sX//fiZNmmQ1Xvb29pw/fz7LMVmxYgXLly/nzJkzHD161DgXHTt2tBqfuXPnGg/ZJ0+ezLZt2/jjjz/YvHmzVdIa3L5n7du3jzNnzvDNN9/kGOf9yO7efLeUlBRatmzJs88+S0xMDMeOHaNevXoAjBkzhh07drB7926OHj2aIa7cnqP4+HhatWrF66+/zl9//cXIkSN54YUXSE5ONtrK7J7XokUL3njjDTp06EBycjJbt27l+++/57fffuPUqVPExcURHh5uPOvPTlb3HVtbW+bOncvs2bPZuXMno0ePxmw28+abbz7Q2KxZs4ZXXnmFK1euULVqVSMZ8U5S1p9//klycjJNmzbNMfasPnv3Wrt2rTHjXnJyMqVLlway/q7P6bv1jtKlS7Nv3z6j7dWrV7Nv3z769+/PzJkzuXDhAiVKlKBLly5GnXuvccj9d/69PvnkE3788Ud++eUXDh48yP79+xk9enSmcd1r5syZzJw5k2XLlpGQkMDnn39uTNLyoGM+e/ZsRo8ezfr166lQoUKO18TdP8M1bNiQUaNGsW7dOpKSkli7di0BAQE5xvW4yFUiTmZ2797NvHnzmDdvHnv27MnPmEREREREREREREREJJ/NmzePa9eusWLFCho3bpwhcQZuzw4TGhpqta1///6MGzcu04cys2fPxtPTM9OHZElJSbi6ulptc3Z2Nmb1uPOMIStpaWmYzWbc3d35z3/+w4wZM6hUqRLfffcd7777Ll5eXpQuXZoBAwawePFio161atVo164ddnZ2uXrw2Lx5cypVqoSdnR2dOnUiMDDQKqmmVatWxl+nt23bloMHDxpj1axZMxo0aICzszMffPBBlsdYsmQJJUqUYPDgwRQsWBBfX1+Cg4ONZbemTZuGxWKhRIkSvPLKKyxdutTq+M8++yxubm40btyYgIAAmjZtiqOjIyEhIUY8X375Jc2aNaNp06bY29szatQooqOjjRkGAMaPH4+joyPt2rXD0dHRaiaGvKhduza1a9fGzs6O5557jvr167Nly5b7aqtr16489dRTFCtWjOrVq1O1alWr/u7fvz/LuqNGjTJmrilTpowxa0hO10hWHBwciIuL48iRIzg4OGT58PfLL7+kW7duNGnSBDs7O4KCgvD392fLli3cvHmTUaNG4eDgQKNGjahevbrVcmwDBgygcOHCBAUFUaZMGRo3bmzV/7179wIQERHB0KFDjdma3n33XSNJByAgIIDevXtjb29P9+7dOXLkSK7GO7M+//333+zfv5+0tDSCgoIoVqxYhnLlypWjefPmODg4UKFCBTp06GDM1rFs2TK6du1KuXLl8PDwsEoYutfcuXNp1KgRXbp0wd7entKlS1O+fHnOnTvHrl27mDZtGk5OTgQFBdGuXTur85bba+WLL77g5Zdfplq1ahQsWJDx48ezYcMGY9YFJycnxowZg4ODA7179yY2NpbLly/naryyGwfI+rxs3rwZOzs7hg8fTsGCBRk5ciSenp4PdE4AatWqZXU/cHZ25uWXX8bBwYFOnTrx559/5tgnb29vQkNDcXJywt/fn5dfftnqHujg4GB8Bzg7O2faxksvvURgYCCenp40adLEOBcvv/wyq1ev5ubNm8Dta+VOssXy5ct5/fXXKVasGCVKlMg0aWzcuHGYTCacnZ1zjPN+ZHVvvtd///tfkpKSmDBhAiaTCXd3d2PWlnnz5vHhhx/i6+uLp6cngwcPtvrM5/YcLVmyhMDAQLp37469vT1du3bFw8OD//73v0ZbWd3z7uXg4EBSUhIHDhzA1taW2rVrY7FYchyP7O47pUuX5r333qNLly6Eh4fz1VdfYWtr+0BjU7lyZbp06YKjoyMTJkxg//79mc7WlxsPek/M6rs+N9+tWfnmm294/vnnef7553FycmLq1Kns2bOHyMhIo8zd1/idOHLznX+vJUuW8MYbbxAQEIC3tzejR482ZvvKybx58xg8eDDBwcHY2dlRu3Zt3NzccqyX05jPmjWLDz/8kPXr11O2bFnjWNldE3f/DAe3Z4Lat28f169fJzAw0GjnSZDnRJyoqCiee+45qlWrxsCBAxk4cCBVq1alTp06Vhm9IiIiIiIiIiIiIiLyeLG3tyckJIRNmzaxZMkSq3179uzh5MmT9OjRw9j27bffYm9vT4cOHTK0lZCQwNixY/nkk08yPdbdSTd3ZJackxU7OzsSExOJj4/n2LFjxkPaS5cuWf1FdMmSJa2WUPD19c1V+3esW7eOKlWqYLFYMJvNHDx40OqhfOHChY3/m0wmY2mt2NhYYyYPINu/0j537lyGZVPutHHz5k0qVqyI2Ww2lvC6e0mMu2fCcHJysnp47+TkZMRz7tw5vvvuO6Mds9nM9evXOXv2LHB7PL29va3qJiYm5jxAmdizZw+1a9c2lj1Zu3YtV65cua+27o3p3v5eu3Yty7p3n2tHR0ejPzldI1np27cvdevWpUOHDvj6+lotd3W3mJgYSpYsmWH7mTNniIqKsjoHW7dutVoSpkiRIlYxZ3VOYmJiGDJkiNFOgwYN+Ouvv4yyd18Hzs7OVssy5UX58uUZO3Yso0ePxsvLi86dOxMXF5eh3OnTp3n++efx9PTEbDYze/Zs45xfuHDB6rNQokSJLI8XFRWV6f5Tp07x999/G+2bzWbmz5/P+fPnjTK5vVaioqKYOnWq0U6xYsWwt7c3Zrpyd3c3HvKazWaADPeqrGQ3DpD1eYmOjsbHx8fYZ2tra3Ut3C235+Te4917fzCZTFazqWTl6tWrtG/fHm9vb1xcXHjnnXesjufp6YmDg0O2bdx9bkwmk3Eunn76aUqUKMH333/P7t27+euvv2jdujVweykyf39/o97d/4fbY3T3tpzivB9Z3ZvvdfbsWfz8/Izr5m6xsbG0a9fOuN5effXVLK+J7M5RZGQkv/76q9X94+TJk1YztGV1z7tXSEgIPXv2pE+fPhQuXJg+ffoYyVDZyem+06NHDy5fvkyjRo2MmWQeZGz8/PyM/5vNZtzc3O473+BB74lZfdfn9N2andjYWKskOovFgpubm3FO773GIfff+fe6M+POHQEBAVY/S+QU51NPPZWrsnfLaczDw8N58cUXCQwMtDpWdtfE3de4q6srERERzJgxg8KFC9O8efP7TtR6FPKciNOrVy9SUlI4fPgwf/31F3/99ReHDx8mPT2dXr16PYwYRUREREREREREREQkH6WmpnLs2DGrbREREdSvX9/qIdDGjRv57bff8PT0xNPTk7179zJ8+HAGDRrEn3/+SVRUFNWrV8fT05O3336b3bt3GwkK5cqVM5YKAjh69Cipqak8/fTTDxS7l5cXp06dMt6fOXPG6iFwXvXs2ZOwsDAuXLhAYmIiFSpU4NatWznW8/HxsXpgeHdM9ypevLjVw9Q7ihQpQoECBTh58iSJiYkkJiZy7do1tm7dmud++Pn5ERoaarSTmJjIjRs3aNKkSZ7bykm/fv2oWrUqUVFRJCYm0rRp00zHzGw2k5aWxo0bN4Db192DPjjPjeyuEWdnZyMewCpJxtHRkalTp3LmzBlWrVrFF198wapVqzK07+fnl+nDwGLFihEQEGB1DpKTkxk3blye+1CkSBE+//xzq7buN9kmJ6+99hr79u3j8OHDnDt3jg8//DBDmWHDhuHm5sbx48dJTEy0eibo7e1t9VnI7kFpsWLFrGaDuKN48eKYTCbi4+ON/iYlJeVqqbR7+fj4MGLEiAyfhdwsaWJjY5Pt/uzGITt+fn5W1xpglWR0r9yck/zy4YcfcvnyZfbt28e1a9f44IMPrD7POY1JTrp06cKCBQv4+uuvCQkJwd7eHrid+HD3tXDvdXHvcbOL08XFxepzndtkjqzuzffy9/cnOjqa9PT0DPu8vb1Zs2aN1fV28uTJXB3/bn5+fjz33HMZPvN9+vTJsW5m5+jdd9/lyJEj7Nq1i82bN/PFF1/k2E5O953XXnuNmjVrsmnTJmMmqAcZm+joaOP/SUlJXL161Sqp72HI6/X8IN+tPj4+VtdXQkICV69eNZJzHvSzdTdvb2+re+/p06etkouy4+vrm+3PMPdrwYIFzJkzhy+//NLYltfPS6dOndi5cydRUVEULFiQN998M9/jfFjynIizZcsWPv/8c8qUKWNsK1OmDNOnT7+vHwxFREREREREREREROThuXLlCuHh4cTHx5OSksKcOXPYtWsXDRs2NMqkpaWxbNkyunfvblV38uTJHDp0iL1797J3714qVKjAqFGj+M9//kNwcDCnTp0y9o0YMYJKlSqxbds2AEJDQzlw4ADLli0jMTGRUaNG0aJFiyyXNsmtNm3a8OGHH3Lp0iVOnjzJjBkz6NSpU5bl733Ye6/k5GQ8PT0pUKAAc+fOzdVSLnD74fKaNWvYunUrSUlJvPfee1mW7dixI6dPn2batGncvHmTmJgYdu/ejZ2dHR06dKBfv35cvnyZtLQ09u7de1/LPPXo0YOVK1eydu1a0tLSuHr1Kl999VWu6mY2RtWqVWPo0KGZlk9KSsLNzQ0nJyfWrl3L5s2bMy3n6+uLl5cXX375JSkpKYwePZq///47T/26H9ldI5UrV2bHjh2cO3eO6OhoZsyYYdRbuXIle/bsIS0tDTc3N+zs7DKd5eHll1/m66+/ZuPGjaSnp3PgwAEiIyOpX78+t27dYsKECdy4cYMbN26wdu1ajh8/nuc+dO/enQkTJhjJbJGRkSxbtixXdT08PDI82LSxsck0qejAgQOsWrWKGzdu4OLiQoECBTJdtu7atWu4uLjg6urK7t27rZZPa9++Pd9++y2HDx8mLi6OSZMmZduvjRs3smTJEtLS0jh58iSHDh2iZMmSBAUFMWjQIBITE0lJSWH79u1ZLr2TnV69ejF79mx27twJ3J555dtvv81VXU9PT06fPp3l/uzGITsNGjQgNTWVyZMnc/PmTT766KMsl8PK7TnJL4mJiTg5OVGoUCGOHTvGrFmz8rX9Hj16sHnzZpYtW0a3bt2M7e3atWPGjBlERUURGRlJeHj4fcdZvnx5EhISWL16NdevX2fUqFG5ii2re/O96tWrh7OzMyNGjCA5OZm4uDjjuy4sLIy3336byMhI0tPTOXr0KKtXr87V8e92Z5mq+fPnk5KSQlJSEsuWLcvVbGOFCxcmKirKSIb5+eef2bp1KykpKVgsFuzt7Y0EqI4dO9KxY8dM28nuvrNs2TI2b97MwoUL+eCDD3j55Ze5fv36A43N3r17WbJkCTdu3GD48OFUqlTJmNWlUKFCnDhxIs/jmJMiRYqQnp6e68STB/luffHFF1m3bh0bNmzgxo0bDBkyhMqVK2eYBSc/dOzYkenTp3P69GkuXrzI2LFjadu2ba7qduvWjalTp/L777+Tnp7O9u3buXr16gPHVLp0aVatWsXIkSNZtGgRkLfPS1RUFAsXLiQpKQlHR0ecnJwy/U5+XOX5rl2sWDFjDcW7paWl5Xm6RxERERERERERERERebhsbW2JiIigaNGiFCpUiEmTJjFr1ixq1qxplFm1ahU3b97MsASVm5sbxYoVM14ODg7G0goODg5W+ywWCwUKFDCWmvDz8yMiIoJBgwbh5eVFXFyc1V/kh4WFERYWluf+fPzxx5QqVYqyZctSq1Yt2rdvT//+/bMs37dvX/bu3YvZbLZ6CHx3e8OGDcNisbBmzRqqVauWqziCg4P54IMP6NSpE8WLF7caz3t5eHjw448/MnfuXDw9PQkODjYSfsLDw7FYLFSoUAE3Nze6det2X8s8lS1blq+//prhw4fj5uZGYGAgK1asyFXdzMbo/PnzPPfcc5mWHzduHF9++SVms5kpU6bQuHHjLNueNm0aH374IV5eXtja2j7Q7EW5ld010qZNGxo3bky5cuWoV68ebdq0MepFR0fTvn17zGYz1apV46WXXqJp06YZ2m/SpAkfffQRr776KmazmY4dOxIfH4+DgwM//fQT69evx8fHBx8fHz788MNMZ4rISe/evXnppZdo2bIlLi4u1KtXjz/++CNXdd98803+85//YDabCQ8P59SpUzg7O/Pss89mKHv9+nWGDx+Oh4cHxYsXx9XVldGjR2co9/7777Nt2zbMZjMDBgygZcuWxr4XX3yRLl26UKtWLcqXL0/Dhg2zXMqobNmyzJ8/n3fffRdXV1caNWpkzF6ydOlSoqOjKVmyJJ6engwcODBXSyvdq3HjxowbN47u3bvj4uJC5cqVjdk7cjJw4EAWLlyI2WzOdGmy7MYhO46OjixcuJDw8HA8PDw4cOAAQUFBmZbN7TnJL8OHD+fixYu4u7vTvn17WrVqla/te3t7ExwcjJ2dHQ0aNDC2Dx06lJo1a1K+fHnq169P+/bt7ztODw8Pxo0bR9euXfH396dq1aq5ii27e/PdHBwcWLlyJTt37qRIkSIEBgYa19T7779PtWrVqF27Nq6urrRu3fq+ls/x8PBgxYoVfPrpp3h6elK8ePEck5Pu6Nq1K0lJSVgsFho0aEBcXBy9evXCYrFQpkwZqlWrxquvvgrcXn6qVq1ambaT1X3n8uXL9OvXj88++wwPDw/69++Pv78/Q4cOfaCxadasGV988QWFChVi586dVjNgDRs2jNDQUMxmM+vWrcvzeGbF1dWVfv368eyzz2I2m3NMlHyQ79bKlSszbdo0Xn31VQoXLszx48dZuHBhfnQjg4EDB9KyZUuqV69OuXLljCXucqNPnz706tWLkJAQzGYz/fr1y7ek2cqVK7N8+XL69+/P6tWr8/R5SUtLY9KkSXh7e+Pl5UVsbCwTJkzIl7j+F2xu5WZ+xbusWLGCcePG8emnnxIcHAzA7t27ef311xkxYkSuM6v+DRISErBYLMTHx+d6zVvJA5ttjzoCkft3q86jjkDkvs0j/6ZLFPlf60aefvQVebzk43S1Iv9zefvVg4iIyGMvq9/9xsfHExkZSalSpTCZTI8wQpEHExkZSdu2bdm7d++jDkXywRdffMGBAwesZv95mJYvX86QIUPuKxlB/pm6d++Ou7s7U6dOfdSh/KulpKRQtmxZDh06RMGCBR9pLEOHDiUqKsqYKUXkSZCcnMyJEyfw9/fHYrFkW9Y+Nw26u7tbrVGWlJRE9erVjSmsUlNTsbe35+WXX1YijoiIiIiIiIiIiIiIyBPM399fSTj/IL17937ox5g/fz6dOnXi4sWLfPjhhzRr1uyhH1OeDOfOnePHH39k+/btjzqUfz0HB4cMy9aJyMORq0QcZSeKiIiIiIiIiIiIiIiISGamTZtGnz59KFCgAI0aNeKjjz561CHJY2D8+PF88MEH9OnTh6effvpRhyMi8j+T56WpJPe0NNVDpqWp5EmmpankCaalqeRJpqWp5Elm89SjjkDk/t3SH9yJiMg/jJamEhERERH5d8n3panudvbs2Wz3Fy9ePK9NioiIiIiIiIiIiIiIiIiIiIg88fKciFOiRAlsbLL+S/i0tLQHCkhERERERERERERERERERERE5EmU50ScvXv3Wr1PSUlh7969TJkyhbFjx+ZbYCIiIiIiIiIiIiIiIiIiIiIiT5I8J+I888wzGbYFBwfj6+vLxIkTad++fb4EJiIiIiIiIiIiIiIiIiIiIiLyJMlzIk5WypQpw2+//ZZfzYnkyO5W80cdgsh9SyPxUYcgIiIiIiIiIiIiIiIiIiL5zDavFRISEqxe8fHxHDlyhNGjR1O6dOmHEaOIiIiIiIiIiIiIiIgANjY2nDp16oHbGTp0KJ07d85y/8iRI+nevfsDHyczHTt2ZPjw4QCsXbuWMmXKPJTjPG769euHxWKhfPnyrFq1iuLFiz/0Y/r5+bFu3Trg4Z7Tf6r8+rxNnz6dWrVq5UNE+adatWp8/vnnjzoM+f999dVXFC5cGJPJRHR09H23k929PSwsjHfeeee+2n2U18vRo0ext896fpH8Grus3H0f/ScYO3YshQoVwt3d/VGHki/uPv9btmzBxsYGk8nE3Llz76u97t274+jo+MDf0XlOxHFzc8Pd3d14FSpUiHLlyrFjxw7drEVEREREREREREREHkMTJkygXLly2NvbM3ToUKt9q1atwtbWFpPJZLzWrl0LQHR0NK1atcLLywuz2UytWrXYu3evUTctLY1XXnkFs9mMh4cHY8aMsWp76dKlFC9eHCcnJxo3bsylS5dyHXNSUhL9+/fHz88PJycn/Pz8aNeundXx5eEZP3688RArp4egD6Jp06YcPXr0obSdmUeVEHH8+HHmzp3L8ePH+fPPP//nxwfrc/q/cHfC1b/NP+3B/ZMuvxKqHqbRo0cTHh5OcnIyfn5+D+UY33zzDR988MFDaftRys+xexyT5vLTjRs3+OCDD9iyZQtxcXH33c7jdH+/+/wXKVIEOzs7kpOT7zvxdO7cuSxfvvyB48rzT02bNm3CxsbGeG9ra4uXlxelSpV6aD+EiYiIiIiI/Nttf7x/XyQiIiIiWfjFJucyD6LWrdyV8/X1ZfTo0Xz77beZ7i9atChnz57NsD0hIYHq1aszc+ZMihQpwpgxY2jXrh1nzpwBYNKkSWzfvp0jR44QFxdHw4YNCQoKIiQkhOjoaHr27ElERATNmjWjR48e9O7dm++++y7HeNPT03n++edJSkpiyZIlVK1alaSkJBYsWMCaNWuoXLly7jou9yUlJQUHB4dHHcY/yunTp/Hw8KBw4cKPOhR5gj3On83HObYnwfnz53nmmWcedRhPpPsdu3/jNRsTE0NqaioVK1Z8ZDHk97g/rp+dPM+IU79+ferVq2e8nnvuOcqWLaskHBERERERERERERGRx1TXrl158cUXsVgsear39NNP884771C0aFHs7e0ZOXIkZ8+e5cKFCwAsWLCAgQMH4ufnR4UKFejWrZsx48aCBQuoWLEinTp1wmw2M3bsWFatWkVSUlKOx/3uu+/Ys2cPP/74I7Vq1cLBwQE3Nzdee+01Ro4cCUCdOnWYPn26USchIQFnZ2dOnTrF9OnTqVGjBl26dMHFxYWyZcuyY8cO4PYsPj179sTd3R2z2UyFChWIjY0FMs6acPdSHB07dqRnz55Ur14dk8lEw4YNiYmJoVmzZri4uFC9enVjXAACAwMJDw/PtH+HDh0iODgYs9lM4cKFGTBggLHvTuxdu3bFxcWFp556iu3bt1vVX7p0KX5+fri7u/P2228DcOrUKVxcXEhISDDKTZs2jTp16gC3H77VrVvXiPXixYtWx6xevTovvvgiZrOZ6dOnWy1v0rRpU9LS0owZk44fP05qaiqDBw/G19cXDw8PevfuTUpKCnB79hez2czx48dzPNf3LtFkY2PDRx99hJ+fH2azmUmTJrFhwwaeeuopXF1dGTZsmFE2uxg2bdrE008/jYuLC4ULF2bMmDEcPnyYN998k19//RWTyUSpUqUAOHnyJPXq1cPV1ZWnnnrKKmGtWrVqDB48mAoVKuDi4kLLli25fv26sf+rr76iVKlSWCwWGjVqlOmyKGvXriUkJISoqChMJhO9e/fOUCaray89PZ1atWoZ/U5NTaVSpUpMmDABgPDwcAIDA3McZ7BesubOuA8dOhSLxYKfnx8bN25k0qRJFC5cmMKFC7NkyRKj7sWLFwkJCaFQoUIULVqUGTNmGPs++eQTfH19cXZ2pmTJkqxatYoZM2bw/fffM3XqVEwmE2FhYcZYPP3005jNZqpWrWo1w5WNjQ0TJkzIcG3f6XdW5/peCxcuJDAwEGdnZ/z9/ZkzZ46x787nuGbNmjg7O1OnTh2rz8Inn3xCkSJF8PT0ZPLkydmOZ1Z96dy5M7GxsYSEhGAymZg5cyZwO8Ewq8/18ePHqV+/Pm5ubgQEBLBs2TJjn5+fH++88w4BAQGUKFEi01i+/PJLSpcujbOzM4GBgRw4cAC4vRyZr68vLi4uBAUFsWvXriz7M3bsWPz9/XF2dqZSpUrG/axHjx4ULlwYs9lMnTp1rD7XNjY2jB8/Hj8/P2rWrAnARx99hL+/P+7u7nTo0MHqnvTxxx9TtGhR3N3dadu2LVeuXAEy3gfutH3nM/HWW2/h5eWFi4sLgYGB/P777xniT0pKonXr1lgsFiwWC8HBwQDGPbB8+fLGjG9paWkMHjyYIkWK4OXlRc+ePY3PdU734OzOVU6y6r/JZCItLY3y5ctTqVKlDPUuXbrEc889Z6xYExoaanUfykp8fDzVq1enf//+gPUsJjn1c+vWrQQGBuLi4kJYWBjp6elZHufeGaDuPk5m9+I7srtWRo4ciYeHB35+fixdujTLY2c2djndZ+69Zu/I6jsC4JdffiEgIACz2ZxhppXs+nG3vP4c8fzzz1OoUCEsFgvNmzc37lV3ZqmbMmUKXl5eeHp6Wt2T711G7M69//jx45QvX974Pm/evHm2xwHYsWMHVatWxWw24+Pjw5w5czK9v2c2c97d10W1atUYNGgQFSpUwNnZmZs3b7J69WrKly+P2WymWrVqHDp0KKvTfN+fnUcpz4k448ePJyIiIsP2iIgIPv7443wJSkRERERERERERERE/nfOnz9PoUKF8Pf3Z9iwYaSmpmZabt26dXh4eODt7Q3cTmCoUqWKsb9SpUrGMkOHDh2ifPnyxr47f9R7+PBhALp160a3bt0yPc7GjRt55plnKFasWJYxh4aGsnjxYuP9ggULKF++PAEBAQDs3r2bKlWqcOXKFbp160anTp1ISUnh+++/57fffuPUqVPExcURHh6OyWTKzTCxcuVKPvvsM2JiYoiKiqJ27doMHjyYy5cv4+DgwEcffWSUPXbsGH369MmyrQ8++IC//vqLTZs2sWzZMubPn2/s2717N3Xr1uXq1au0atWKQYMGWdXdvHkzhw4dYv369UyePJlDhw4REBBAhQoVWLhwoVFu8eLFRuJFr1698PT05OLFi4wdOzbDzER79uyhZs2aXL16NUPca9euNZZ6SE5OpnTp0owZM4YdO3awe/dujh49yv79+5k0aRIApUuXJjExkdKlS+dqXO+1bds2jhw5woIFCxg9ejQTJ05kx44dbN26lenTpxvXUHYxDB48mIEDB3Lt2jX+/PNPGjduzNNPP82kSZOoVq0aycnJnDhxAoAXXniBp59+mgsXLjB9+nReffVVq+WjVqxYwfLlyzlz5gxHjx5l1qxZAGzZsoURI0bw7bffcvHiRQIDA3nllVcy9Kdp06YsX76cokWLkpyczBdffJHrsbC1tWXu3LnMnj2bnTt3Mnr0aMxmM2+++SYAffr04dixY/c1zjExMZjNZi5fvkxoaChdu3bl6NGjnD17lnfeeYeBAwcaZV944QV8fHyIjo5m5cqVjBkzhl27dpGQkMCoUaNYt24dSUlJrF27loCAAAYMGEDbtm0ZNGgQycnJfPPNN1y4cIFOnToxcuRILl++TPPmzWnbtq1VQk1m1zZkf67vZbFYWLp0KQkJCUyaNIn+/ftz7tw5Y/+PP/7I1KlTuXTpEmlpaYwfPx64/bkbNWoUCxYsIDIyMkMC3N2y68uiRYvw8fHhhx9+IDk5mb59+xrtZ/a5TktLo1WrVjRp0oRLly4xa9YsevXqRVRUlHG8H374ga1bt2Z6rtevX8+bb77JZ599RkJCAosXLzaSLp9++ml2797NlStXqF+/fpZLtcycOZOZM2eybNkyEhIS+PzzzylYsCBwO5Hl8OHDnD9/Hl9fX/r162dVd+PGjRw8eJAtW7YwZ84cIiIiWL9+PVFRUaSkpBhJZN9//z2TJk3ihx9+IDIykuvXr2d7j7xj3759fPXVV/z+++9G/7y8vDKU++yzz0hOTiYmJobLly8zduxY4Pb9BODPP/8kOTmZpk2b8sknn/Djjz/yyy+/cPDgQfbv38/o0aONth7kXGUlu/4nJycbMd5Jorpbeno6/fr1IyYmhn379mV7/d8RFxdHgwYNqFmzJp9++mmmZbLq540bN3jhhRfo1asXV65coVy5cuzbty/HPmYms3sxkO21smTJEr788kv++9//sn//fn766acs27937HJzn7n7mr1bVt8RcPv7f/v27ezfv58ff/yRlStX5tiPzOTl54g7MxCeOnWKa9euGYnIcPtaPHjwIOfOnWPWrFkMHz6cq1evZnsuSpcuzb59+4zv89WrV2d7nCtXrtCyZUtefPFFLl++zJ49e6hYsWKm9/fcWL58OYsWLeLq1atERUXx4osvMmXKFOLi4mjTpg0vvPBCpvUe5LPzKOU5ESc8PJyyZctm2F6+fHkjo1NERERERERERERERJ4MFStW5Ndff+XSpUt89913fP/993z44YcZysXGxjJgwADee+89Y1tycjJubm7Ge4vFYsx4k5SUhKurq1Ubzs7Oxl+Kz5s3j3nz5mUa05UrV6yW8Pn5558xm824uLgYsxt07dqVffv2GTOQLFq0yEg6AfD29mb48OEULFiQkSNHkpqaypYtW3BwcCApKYkDBw5ga2tL7dq1cz1TUKtWrXj22Wdxc3OjcePGBAQE0LRpUxwdHQkJCeHgwYO5aqdcuXI0b94cBwcHKlSoQIcOHfj555+N/QEBAfTu3Rt7e3u6d+/OkSNHrOqPGjXKmPGhTJkyxuwQoaGhLFq0CICoqCh+//13unbtSmpqKuvWrWP8+PGYTCYaN25sPAy9o1ixYrz++uvY2dnh7OycYx/mzZvHhx9+iK+vL56engwePDhXy47lxsiRIzGbzbRq1QpnZ2fCwsIoXLgwQUFBBAYGsmfPnhxjcHBw4MSJE1y8eBEvLy9q1aqV6bFOnjzJwYMHmTx5Mk5OTrRo0YKGDRtaPVh86aWXCAwMxNPTkyZNmrB//34AvvjiC15++WWqVatGwYIFGT9+PBs2bMhyppb7Vbp0ad577z26dOlCeHg4X331Fba2eX7El4GTkxPvvvsuDg4OhIWFcf78ecaOHYujoyMvv/wysbGxXL58mXPnzrFr1y6mTZuGk5MTQUFBtGvXzkiEs7GxYd++fVy/fp3AwMBMnyPC7YewZcqU4aWXXqJgwYK89957XL9+na1btxplsrq283K9NW/enEqVKmFnZ0enTp0IDAy0Sqpp1aqVMSNF27Ztjc/twoULadasGQ0aNMDZ2ZkPPvggy7HLTV/uldXnesuWLdy8eZNRo0bh4OBAo0aNqF69ulX/+vfvT9GiRTP9bH755Zd069aNJk2aYGdnR1BQEP7+/sDta9fX15eCBQsybtw4jh07Rnx8fIY25s2bx+DBgwkODsbOzo7atWsb9/ZevXrh4eGBs7Mzo0ePZvfu3VZ1R44cibu7O87OzkRERDB06FBjRqJ3333XSFhYsGABXbt2pUqVKri6ujJx4kRWrlyZ7UwrcPuz/Pfff7N//37S0tIICgrKNEnTwcGBuLg4jhw5goODA02bNs2yzSVLlvDGG28QEBCAt7c3o0ePZvny5cb+BzlXWbnf/sPt77PQ0FCcnJzw9/fn5ZdfzjZR7OrVq9SrV4/GjRszderULMtl1c/NmzdjZ2dn9R3q6emZY5yZyepenN21smjRIrp160bFihXx9PRkxIgRuT5ebj6bd1+zufX666/j4+NDQEAANWrUMGbZya4fmcnLzxGvvfYarq6ueHh4MHjw4AwzWo0fPx5HR0fatWuHo6OjkaSaV1kdZ8mSJZQoUYLBgwdTsGBBfH19jZmm7kfXrl2Nmam+/PJLmjVrRtOmTbG3t2fUqFFER0cbydx3e5DPzqOU52/p8+fP4+Pjk2G7l5eXMXWjiIiIiIiIiIiIiIg8GYoVK0ZQUBB2dnZUqVKFESNG8MMPP1iVuXr1Kk2aNKFNmzZWyyiZTCarv8COj483HmzdnXRzR2bJOZkpVKiQ1dIIzz33HImJiUydOpW///4buJ3006BBA+bNm8fFixfZuXOn1Qw7dz/LsLW1pUiRIkRHRxMSEkLPnj3p06cPhQsXpk+fPty8eTMXI4XVLAxOTk5WDyadnJxytewWwOnTp3n++efx9PTEbDYze/ZsY5kFwKpdZ2fnDEuQ+Pr6Gv93dHQkMTERuP3Q/U5S1bx586hbty7u7u7ExsaSlpbGU089ZdQrWrSoVZtFihTJVex3xMbG0q5dO8xmM2azmVdffdWqDw/i7nPn6OhoFdvd/c0uhoiICA4dOkTp0qV59tln2bhxY6bHOnv2bIYHssWLFycmJsZ4f2cGKLh9zV+7dg24new0depU4/jFihXD3t7eavaV/NKjRw8uX75Mo0aN7numoXu5u7sbCT0mkwk7OzsjAe7OeCQkJHDq1Cn+/vtv43o1m83Mnz+f8+fP4+rqSkREBDNmzKBw4cI0b96cM2fOZHq8qKgoq+vOzs4OHx8fq9lEsrq283K9rVu3jipVqmCxWDCbzRw8eJDLly8b++9O8jOZTMbnNjY21iq+O7Nr3W9f7pXV5/rMmTNERUUZfTObzWzdutXqueudxJrMxMTEULJkyUz3TZkyhVKlSmE2m/H29ubWrVtWS9/cERsba3V/uNtbb71F8eLFcXFxoXbt2hlm3bh7uayYmBiGDBli9KNBgwb89ddfxjHu7kepUqW4efMmly5dyrJvcHsyiLFjxzJ69Gi8vLzo3LkzcXFxGcr17duXunXr0qFDB3x9fa2WNrvXhQsXrOIOCAiw+s55kHOVlfvtP9z+Dm7fvj3e3t64uLjwzjvvZDoGd/z222+cP38+25lZIOt+RkdHZ/odej+yuhdnd61cuHDBKtkqq+s7M7n5bGa1xFt27h4Pk8lk3Juy60dmcvtzREpKCq+88oqxtFy3bt2szrmdnZ3Vd5OTk5MRU15kd5xz585lWDLuQdx9Ts+dO8d3331n9Vm6fv06Z8+ezVDvQT47j1KeE3GKFSuWaYbd9u3brb4cRURERERERERERETkyWNra8utW7eM90lJSTRp0oRnnnmGGTNmWJV96qmnjL8KB/jjjz8oU6YMcHvWlzvLygAcPXqU1NRUnn766RxjaNSoEQcOHMhxuY9u3bqxZMkS5s+fT61atawesN/7YPT8+fP4+fkB8O6773LkyBF27drF5s2bjaWCHB0djWUOAKuH9/lp2LBhuLm5cfz4cRITE+nVq1e+tOvu7s5zzz3H/PnzWbJkCWFhYcDtB4h2dnacPHnSKHvv2NrY2GTZbmb7vL29WbNmDYmJicbr7vb/F7KLoVKlSqxatYrLly/TsWNHXnrppUz7Urx4ceLi4qzO+7lz53L1zMvHx4cRI0ZYHf/GjRvZJnBkJadr77XXXqNmzZps2rTJavak/4XixYtjMpmIj483+pmUlGTMGtSpUyd27txJVFQUBQsWNJbNulfRokWtrrv09PQMyS9Zycv11rNnT8LCwrhw4QKJiYlUqFDB6p6WlXsf1p86dSrLsg/Sl3sVK1aMgIAAq74lJyczbtw4o0x2n08/P79Mk5+OHj3KqFGjmDNnDlevXuX8+fPY2NhkOha+vr6Z9nf16tVERETw008/kZCQkOkz4rtjK1KkCJ9//rlVX+4kd/j4+BAZGWmUPXnyJAULFsTLywsXFxdu3Lhh7Lv3/vTaa6+xb98+Dh8+zLlz5zKdtc3R0ZGpU6dy5swZVq1axRdffMGqVasyGbHb19PdY3b69Gmr74+s5OZcZSW7/ufkww8/5PLly+zbt49r167xwQcfZHtNN2nShBdeeIHGjRtnOgNSTvz8/DL9Ds2Kk5OT1f3r7qSmrO7F2V0r3t7eVgmNp0+fznXsufls5vX7LjvZ9eNBhIeHs337drZv3861a9eynEEwMyaTySqGzJLvcnOc4sWL5zqx1Gw2k5aWZnyOU1NTs00W8/PzIzQ0NMP3Z5MmTTKUfZDPzqOU50ScV199lUGDBjFnzhwiIyOJjIwkIiKCwYMH8+qrrz6MGEVERERERERERERE5AGkpKSQnJxMWloaqampJCcnk5qaCsCqVauMB9oHDx7ko48+onnz5gDcvHmTFi1aUKRIEb7++usM7Xbp0oVPPvmEmJgY/vzzT+bNm0f37t2B28skHThwgGXLlpGYmMioUaNo0aJFrpaCaN++Pc888wwhISHs3LmT1NRUEhMTjWVq7mjbti2RkZF89tlnhIaGWu27cOECkydP5ubNm3z00UfY2dlRr149fv75Z7Zu3UpKSgoWiwV7e3vs7e0BKFu2LHPnziU1NZVPP/0007/Mzi0/Pz+mT5+e6b5r167h4uKCq6sru3fvZunSpfd9nHt17dqVTz/9lJMnT9KxY0cA7O3tadKkCaNGjSI5OZlNmzZlOUNMZooUKUJ6errVg/qwsDDefvttIiMjSU9P5+jRo6xevRq4nQBgY2OT6RIT+Sm7GGbOnMmFCxdwcHDAbDYbM78UKVKE2NhYY/mop556inLlyvHmm29y48YN1qxZw8aNG3nxxRdzPH6vXr2YPXs2O3fuBG4/fP7222/vqy/ZXXvLli1j8+bNLFy4kA8++ICXX37ZeMg6ffp0I8HsYSlZsiRBQUEMGjSIxMREUlJS2L59O7///jtRUVEsXLiQpKQkHB0dcXJyws7ODrg988zdD0/btm3LkSNH+Pbbb0lJSWHMmDE4Ojoay81lJ7tzfa/k5GQ8PT0pUKAAc+fO5c8//8xVP7t06cKaNWvYunUrSUlJVsvw3Sunvnh4eOQ6Ma1+/frcunWLCRMmcOPGDW7cuMHatWs5fvx4ruq//PLLfP3112zcuJH09HQOHDhAZGQkiYmJ2Nra4u3tTUpKSpYJUnA7qXHq1Kn8/vvvpKens337dq5evUp8fDwODg54e3uTmJiY7ZgAdO/enQkTJhhJmJGRkSxbtgy4Pb7ffPMNe/fuJSEhgeHDh9OyZUtsbW0pX748CQkJrF69muvXrzNq1CijzQMHDrBq1Spu3LiBi4sLBQoUyHRptpUrV7Jnzx7S0tJwc3PDzs7OuBYLFSrEiRMnjLIdO3Zk+vTpnD59mosXLzJ27Fjatm2b41jndK6GDh1KtWrVMq2bXf9zkpiYiJOTE4UKFeLYsWPMmjUrxzozZszgmWeeoVmzZlZJMrnRoEEDUlNTrb5Ds0tMLVeuHAsXLiQ1NZUVK1bw66+/Gvuyuhdnd6106tSJ+fPnc/DgQa5cucLEiRNzHfuD3Gcg43dETrLrx4NITEykYMGCeHp6Ehsby+TJk3Ndt0KFCnz//fdcv36dHTt28NNPP93XcTp27Mjp06eZNm0aN2/eJCYmxlia7t77u6+vL15eXnz55ZekpKQwevRoYwbDzPTo0YOVK1eydu1a0tLSuHr1Kl999VWmZR/ks/Mo5Tm6YcOG8corr9CvXz8CAgIICAjg9ddf54033mDkyJEPI0YREREREREREREREXkAb731Fs7OzixatIhp06bh7OzM559/DsCvv/5KzZo1cXJyomnTprRo0YL3338fgE2bNrF161bWr1+P2WzGZDJhMpmMh47Dhg2jVq1alClThueee47XXnuNkJAQ4HYiSkREBIMGDcLLy4u4uDhj5hm4/WD9zowt97K1tWX9+vVUr16dDh06YDabKVu2LNHR0cycOdMo5+DgQOvWrYmNjaVLly5WbQQHB/Pbb79RqFAh5syZw6JFi3BwcCAuLo5evXphsVgoU6YM1apVM/7QeMqUKSxduhR3d3f27NlD5cqV72u8b968ydWrV3nuuecy3f/++++zbds2zGYzAwYMoGXLlvd1nMx06NCBK1eu0KxZM5ycnIzts2bN4sKFC3h5eTFy5MhcPXS+w9XVlX79+vHss89iNps5fvw477//PtWqVaN27dq4urrSunVrY4aJyMhIfH1972v5j7zILobVq1dTtmxZ41qPiIgAoGXLlhQtWhQPDw8CAwMBWLx4MX/88QdeXl7069ePzz//nAoVKuR4/MaNGzNu3Di6d++Oi4sLlStXvu/ZarK69i5fvky/fv347LPP8PDwoH///vj7+zN06FDg9uw9wcHB93XMvFi6dCnR0dGULFkST09PBg4caCT3TZo0CW9vb7y8vIiNjWXChAnA7aWC9u7di9lsplu3bvj4+LBo0SLGjBlDoUKFWLlyJcuXL6dgwYI5Hj+7c32vjz/+mGHDhmGxWFizZk2WiRH3Cg4O5oM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" ] @@ -1125,19 +1082,22 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 31, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "No DataFrame found for key: global_warming_potential_(gwp100)\n" - ] + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "lvl22_plot_input_comparison_with_method(cement_sector_compare, 'global_warming_potential_(gwp100)', '37430')" + "lvl22_plot_input_comparison_with_method(cement_sector_compare, 'cement_global_warming_potential_(gwp100)', '37430')" ] }, { @@ -1156,12 +1116,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { - "image/png": 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m+TfffGNIMlavXm2WlS1b1vDz8zOuXLlilv3yyy+Gk5OT8fLLL5tlU6ZMMSQZJ0+efOzx4+LijPz58xv58uUzrl27ZrUtISHB/HdqPuf06LMpaeOPP/4wnJycjFatWpnX317sJUuWNIKDg22O8dZbbxmenp7G0aNHrcqHDx9uODs7G2fOnDEM4/8+o8yZMxuXLl2yqpu4bf78+TbtJ8bRtGlTI1OmTOZ53rp1y8iSJYvxyiuvWNW9cOGC4e3tbVVetmxZI1euXMb169fNsk2bNhmSrL4PSQkODjZKlixpVSbJcHV1tfqO/PLLL4YkY+bMmWbZ2LFjDUlG8+bNrfbv06ePIcn45ZdfHnsNHr33pKZvplWDBg0MSeZ5vvrqq1b3MXvKly9v5MqVy6YfGYZhzJo1y/D29jY/e3vXNNH58+fNY0sy8uTJY3z55ZdWdZo0aWIUKFDAZt/o6GhDkjF8+HCzbP78+cn2r0TvvfeeIckIDw9Ptl6i1Pb97NmzW/XBESNGGJKMMmXKGLGxsWb5Sy+9ZLi6uhr37t0zDCN1fT2l95ioqCibfpWcMWPGGJKMlStX2mxLvE/Y68OJ/f9hqf3uJP5N8/f3NypWrGh1j0+P+0+LFi2S7IsAAAAAnm1MdwbgPyFxeikvL68U1V+3bp0kadCgQVblgwcPliSbaa1KlCihqlWrmu8rV64sSapdu7aee+45m/ITJ07YHLNv377mvxOnUYmJidGWLVvMcg8PD/Pf165d040bN1SjRg2bqckkKTg4WCVKlHjMmUpZsmTRrl279Ndff9ndvnfvXl26dEl9+vSxmvqnSZMmKlasmN11fHr16mX1vkaNGnbP2Z7ffvtN2bNnV/bs2VW8eHHNnDlTTZo0sfo19qPWrVsnZ2dn9e/f36p88ODBMgxD69evT9GxU2rdunWqVKmS+Qt3ScqUKZN69uypU6dOmVPPJOrSpYvVZ/c47du3V9asWc33NWrUkPR//eb8+fP6+eefFRISIh8fH7Ne6dKlVa9ePbP/ptZPP/2kkydPasCAATajluxNmZSSzzk9+mxK2vj666+VkJCgMWPG2Kz3Yy/2Ry1btkw1atRQ1qxZdfnyZfNVt25dxcfH67vvvrOq37p161SP+njrrbe0Zs0aLViwwDzPzZs36/r163rppZesjuvs7KzKlStr27Ztkv7vM+/SpYu8vb3NNuvVq5ei73ly6tatazWirHTp0sqcObPd7+xrr71m9b5fv36SlOY+97RNnjxZmzZt0rx581SlShXFxMQoLi4uyfpHjx7Vvn371KFDB5t+dOXKFY0ZM0Zvvvlmij77xJESq1ev1rhx4+Tr66vbt29b1bl7967c3Nxs9k281969e9csCwkJkWEYyY6ikVL/9y61fb9t27ZWfTDx71rnzp2t1m2pXLmyYmJizGkxU9rXH/Ykf0vsWbFihcqUKWMz2lFK2X3iUan57hw8eFDBwcEKCAjQli1brO7x6XH/yZIli/7880+7U2MCAAAAeLYx3RmA/4TMmTNLerD+SkqcPn1aTk5OKlSokFV5zpw5lSVLFp0+fdqq/OFEjCTzAVbevHntll+7ds2q3MnJSQUKFLAqK1KkiCRZrdGwZs0ajR8/Xj///LPV2jj2Hi7lz58/yfN72DvvvKMuXboob968Kl++vBo3bqyXX37ZjCfxXIsWLWqzb7FixbRjxw6rMnd3d5uHR1mzZrU556QEBATo448/lsVikbu7uwoXLmw1NZQ9p0+flr+/v81DycQphB79vJ7U6dOnzQeTSR0vMDDQLE/pZ5Ho0f6U+DAv8Rom95kUL15cGzduVHR0tDw9PVN13OPHj0uSVexJSennnB59NiVtHD9+XE5OTmlOWPzxxx/69ddfk3z4funSpRTFmpQNGzYoLCxMI0aMUOvWra2OKz1I6NqTeO9K/MwLFy5sU6do0aJ2k14p9Wh/k5L+zj56/IIFC8rJyempriUjPZim6uEEh7Ozc4oSJWXLljX/3blzZz3//PMKCQlJck2jxYsXS5Ldqc5Gjx4tHx8fMzH1OK6urqpbt64kqWnTpqpTp46qV68uPz8/NW3aVNKDBOSj65xJMtf5SU1yN1Fq/96ltu+n9e9dSvt6oif9W2LP8ePHrb5/Tyo1351mzZopR44c2rhxozJlymS1LT3uP8OGDdOWLVtUqVIlFSpUSPXr11fHjh1VvXr11JwSAAAAAAcgSQPgPyFz5szy9/fXwYMHU7VfSn9Zm9S8/0mVGw8tZp9S33//vZo3b66aNWtqzpw5ypUrl1xcXDR//ny7CwOn9OFeu3btVKNGDYWHh2vTpk2aMmWK3n77ba1cuVKNGjVKdZwpWQMhOZ6enuaDzX+L1D5oTc9+87Sk5HNOjz6b2jbSKiEhQfXq1dPQoUPtbk9MmiYXa1JOnjypTp06qV69eho/frzNcaUHa3XkzJnTZt+HRyY8LU/S3+wtpm5P4mLvafXuu+8qLCzMfJ8vX75UJ4ZcXV3VvHlzTZ48WXfv3rX7GS5ZskRFixZV+fLlrcr/+OMPffTRR5oxY4bVqMN79+4pNjZWp06dUubMma1Gtj2qWrVqypUrlxYvXmwmaXLlyqVt27bJMAyra3f+/HlJkr+/f6rOUXqQPJekAwcOqGXLlo+tn9q+n9a/d6nt60/6t+TvkJrvTuvWrbVw4UItXrxYr776qtW29Lj/FC9eXL///rvWrFmjDRs2aMWKFZozZ47GjBlj9d0BAAAA8OwhSQPgP6Np06b66KOPFBkZaTU1mT358uVTQkKC/vjjD6sFnS9evKjr168rX7586RpbQkKCTpw4YfUg5ujRo5JkLqS8YsUKubu7a+PGjVbT48yfP/+Jj58rVy716dNHffr00aVLl/T8889rwoQJatSokXmuv//+u80voH///fd0vxZpkS9fPm3ZskW3bt2yGk3z22+/mdsTpWVKG3vH+/33323K7R3vaXj4M7EXg6+vrzmKJjXnmzhtz8GDB9MlUZYefTalbRQsWFAJCQk6fPiw1eiJRyV1PQoWLKjbt2+ne4Lw7t27evHFF5UlSxYtXbrUZgqtxGvu5+eX7LETP/PE0QgPs9cPnpY//vjD6lf8x44dU0JCgnmfShz1df36dav97I1mS03ffPnll62mF0zLCBPpwedhGIZu3bpl08auXbt07NgxjRs3zma/c+fOKSEhQf3797eZVlF6MLLh9ddft1ng/VH37t3TjRs3zPdly5bVJ598oiNHjliNAtu1a5e5PbWCgoKUNWtWLV26VCNHjnxssuNp9X17x5Ee39dTI7X384IFC6b6xxrpZcqUKcqQIYP69OkjLy8vdezY0Squ9PgMPD091b59e7Vv314xMTF68cUXNWHCBI0YMcJqulIAAAAAzxbWpAHwnzF06FB5enqqR48eunjxos3248eP67333pMkNW7cWJJsHrhNmzZN0oP1WNLbrFmzzH8bhqFZs2bJxcVFderUkfTgF7sWi8XqF+mnTp3S119/neZjxsfHWz0wlB48QPP39zen4KlQoYL8/Pw0d+5cq2l51q9fryNHjjyVa5FajRs3Vnx8vNU1lKTp06fLYrFYjQjy9PS0eYCcluPt3r1bkZGRZll0dLQ++ugjBQQEPPEaIY+TK1culS1bVgsXLrQ6l4MHD2rTpk1m/5VkJmtScs7PP/+88ufPrxkzZtjUT8sonvTosylto2XLlnJyctK4cePMX+zbiz2pz79du3aKjIzUxo0bbbZdv3492XVMktOrVy8dPXpU4eHhVmtQJGrQoIEyZ86siRMnKjY21mZ7VFSUJOvP/OHv7ObNm23WQHqaZs+ebfV+5syZkmR+xzJnzixfX1+bNTTmzJlj01Zq+maBAgVUt25d8/W4KZwenR4q8TgrVqxQ3rx57U6hmDgy6+GH54kCAwMVHh5u8ypZsqSee+45hYeHq3v37pIe3Avu3Llj08aKFSt07do1VahQwSxr0aKFXFxcrK6PYRiaO3eucufOrWrVqpnlN27c0G+//WZzz35UxowZNWzYMB05ckTDhg2z+939/PPPtXv3bklPr+8/KqV9PTUyZswoKWV9SHowmuWXX35ReHi4zbanPVLRYrHoo48+Ups2bdSlSxetWrXK3JYen8GVK1es3ru6uqpEiRIyDMPu9QYAAADw7GAkDYD/jIIFC2rJkiVq3769ihcvrpdfflmBgYGKiYnRzp07tWzZMnNB5jJlyqhLly766KOPdP36dQUHB2v37t1auHChWrZsqRdeeCFdY3N3d9eGDRvUpUsXVa5cWevXr9fatWs1cuRIc476Jk2aaNq0aWrYsKE6duyoS5cuafbs2SpUqJB+/fXXNB331q1bypMnj9q0aaMyZcooU6ZM2rJli/bs2aOpU6dKklxcXPT222+ra9euCg4O1ksvvaSLFy/qvffeU0BAgAYOHJhu1yGtmjVrphdeeEGjRo3SqVOnVKZMGW3atEnffPONBgwYYLWwc/ny5bVlyxZNmzZN/v7+yp8/v931ZZIzfPhwLV26VI0aNVL//v3l4+OjhQsX6uTJk1qxYoXNaImnYcqUKWrUqJGqVq2q7t276+7du5o5c6a8vb0VGhpq1kuctmnUqFHq0KGDXFxc1KxZM7vr1Tg5OemDDz5Qs2bNVLZsWXXt2lW5cuXSb7/9pkOHDtl9gJic9OizKW2jUKFCGjVqlN566y3VqFFDL774otzc3LRnzx75+/tr0qRJ5vX44IMPNH78eBUqVEh+fn6qXbu2hgwZolWrVqlp06YKCQlR+fLlFR0drQMHDmj58uU6deqUfH19U3X+a9eu1WeffabWrVvr119/tYo3U6ZMatmypTJnzqwPPvhA//vf//T888+rQ4cOyp49u86cOaO1a9eqevXqZvJx0qRJatKkiYKCgtStWzddvXpVM2fOVMmSJW0WpH9aTp48qebNm6thw4aKjIzU559/ro4dO6pMmTJmnR49emjy5Mnq0aO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" ] @@ -1197,7 +1157,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -1206,69 +1166,25 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 33, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['cement production, Portland' (kilogram, ZA, None),\n", - " 'cement production, Portland' (kilogram, US, None),\n", - " 'cement production, Portland' (kilogram, IN, None),\n", - " 'cement production, Portland' (kilogram, CH, None),\n", - " 'cement production, Portland' (kilogram, RoW, None),\n", - " 'cement production, Portland' (kilogram, Europe without Switzerland, None),\n", - " 'cement production, Portland' (kilogram, CA-QC, None),\n", - " 'cement production, Pozzolana Portland' (kilogram, IN, None),\n", - " 'cement production, Portland Slag' (kilogram, IN, None),\n", - " 'cement production, Portland' (kilogram, PE, None),\n", - " 'cement production, Portland' (kilogram, BR, None)]" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "small_set_cement_ei39=[x for x in set_cement_concrete_ei39['Cement'] if 'Portland' in str(x)]\n", - "small_set_cement_ei39" + "small_set_cement_ei39=[x for x in set_cement_concrete_ei39['Cement'] if 'Portland' in str(x)]" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 32, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['cement production, Portland' (kilogram, PE, None),\n", - " 'cement production, Portland' (kilogram, BR, None),\n", - " 'cement production, Portland' (kilogram, US, None),\n", - " 'cement production, Portland' (kilogram, IN, None),\n", - " 'cement production, Portland' (kilogram, ZA, None),\n", - " 'cement production, Portland' (kilogram, Europe without Switzerland, None),\n", - " 'cement production, Portland' (kilogram, CA-QC, None),\n", - " 'cement production, Portland' (kilogram, CH, None),\n", - " 'cement production, Portland' (kilogram, RoW, None),\n", - " 'cement production, Pozzolana Portland' (kilogram, IN, None),\n", - " 'cement production, Portland Slag' (kilogram, IN, None)]" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "small_set_cement_ei39SSP2=[x for x in set_cement_concrete['Cement'] if 'Portland' in str(x)]\n", - "small_set_cement_ei39SSP2" + "small_set_cement_ei39SSP2=[x for x in set_cement_concrete['Cement'] if 'Portland' in str(x)]" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1277,16 +1193,16 @@ "text": [ "method: ('EN15804', 'inventory indicators ISO21930', 'Cumulative Energy Demand - non-renewable energy resources')\n", "('cement production, Portland', 'kilogram', 'ZA', 'cement, Portland'): -0.34934446974007033\n", - "('cement production, Portland', 'kilogram', 'US', 'cement, Portland'): -0.25736953077710994\n", - "('cement production, Portland', 'kilogram', 'IN', 'cement, Portland'): -0.25164372778778993\n", - "('cement production, Portland', 'kilogram', 'CH', 'cement, Portland'): -0.06673179405747044\n", - "('cement production, Portland', 'kilogram', 'RoW', 'cement, Portland'): -0.16959422042277536\n", "('cement production, Portland', 'kilogram', 'Europe without Switzerland', 'cement, Portland'): -0.20608780648274835\n", - "('cement production, Portland', 'kilogram', 'CA-QC', 'cement, Portland'): 0.0011289636388264429\n", "('cement production, Pozzolana Portland', 'kilogram', 'IN', 'cement, Pozzolana Portland'): -0.25952148057218843\n", - "('cement production, Portland Slag', 'kilogram', 'IN', 'cement, Portland Slag'): -0.31517898241979864\n", + "('cement production, Portland', 'kilogram', 'BR', 'cement, Portland'): -0.05189055484939185\n", + "('cement production, Portland', 'kilogram', 'US', 'cement, Portland'): -0.25736953077710994\n", + "('cement production, Portland', 'kilogram', 'CA-QC', 'cement, Portland'): 0.0011289636388264429\n", "('cement production, Portland', 'kilogram', 'PE', 'cement, Portland'): -0.0804718407851663\n", - "('cement production, Portland', 'kilogram', 'BR', 'cement, Portland'): -0.05189055484939185\n" + "('cement production, Portland', 'kilogram', 'IN', 'cement, Portland'): -0.25164372778778993\n", + "('cement production, Portland Slag', 'kilogram', 'IN', 'cement, Portland Slag'): -0.31517898241979864\n", + "('cement production, Portland', 'kilogram', 'CH', 'cement, Portland'): -0.06673179405747044\n", + "('cement production, Portland', 'kilogram', 'RoW', 'cement, Portland'): -0.16959422042277536\n" ] }, {