From 42a3e20acb25740518952fc7d5c8e0e3ae029a10 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 23 Oct 2024 11:15:18 -0600 Subject: [PATCH 01/25] added functions for retrieving input observed data from the hdf --- src/rashdf/plan.py | 113 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 113 insertions(+) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index 03435b0..c085238 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -156,6 +156,7 @@ class RasPlanHdf(RasGeomHdf): PLAN_INFO_PATH = "Plan Data/Plan Information" PLAN_PARAMS_PATH = "Plan Data/Plan Parameters" PRECIP_PATH = "Event Conditions/Meteorology/Precipitation" + OBS_DATA_PATH = "Event Conditions/Observed Data" RESULTS_UNSTEADY_PATH = "Results/Unsteady" RESULTS_UNSTEADY_SUMMARY_PATH = f"{RESULTS_UNSTEADY_PATH}/Summary" VOLUME_ACCOUNTING_PATH = f"{RESULTS_UNSTEADY_PATH}/Volume Accounting" @@ -166,6 +167,8 @@ class RasPlanHdf(RasGeomHdf): UNSTEADY_TIME_SERIES_PATH = f"{BASE_OUTPUT_PATH}/Unsteady Time Series" REFERENCE_LINES_OUTPUT_PATH = f"{UNSTEADY_TIME_SERIES_PATH}/Reference Lines" REFERENCE_POINTS_OUTPUT_PATH = f"{UNSTEADY_TIME_SERIES_PATH}/Reference Points" + OBS_FLOW_OUTPUT_PATH = f"{OBS_DATA_PATH}/Flow" + OBS_STAGE_OUTPUT_PATH = f"{OBS_DATA_PATH}/Stage" RESULTS_STEADY_PATH = "Results/Steady" BASE_STEADY_PATH = f"{RESULTS_STEADY_PATH}/Output/Output Blocks/Base Output" @@ -1117,6 +1120,106 @@ def reference_lines_timeseries_output(self) -> xr.Dataset: """ return self.reference_timeseries_output(reftype="lines") + def observed_timeseries_output(self, vartype: str = "Flow") -> xr.Dataset: + """Return observed timeseries output data for reference lines and points from a HEC-RAS HDF plan file. + + Parameters + ---------- + + Returns + ------- + xr.Dataset + An xarray Dataset with reference line timeseries data. + """ + + # Decode the contents of the DataFrame from utf-8 + def decode_bytes(val): + if isinstance(val, bytes): + return val.decode('utf-8') + return val + + # Function to adjust invalid hour values + def adjust_invalid_hour(date_str): + if '24:00:00' in date_str: + # Split the date and time parts + date_part, time_part = date_str.split() + # Replace '24:00:00' with '00:00:00' + new_time_part = '00:00:00' + # Convert the date part to a datetime object and add one day + new_date_part = (pd.to_datetime(date_part, format='%d%b%Y') + pd.Timedelta(days=1)).strftime('%d%b%Y') + # Combine the new date and time parts + return f'{new_date_part} {new_time_part}' + return date_str + + if vartype == "Flow": + output_path = self.OBS_FLOW_OUTPUT_PATH + elif vartype == "Stage": + output_path = self.OBS_STAGE_OUTPUT_PATH + else: + raise ValueError('vartype must be either "Flow" or "Stage".') + + observed_group = self.get(output_path) + if observed_group is None: + raise RasPlanHdfError( + f"Could not find HDF group at path '{output_path}'." + f" Does the Plan HDF file contain reference {vartype[:-1]} output data?" + ) + + for var in observed_group.keys(): + var_path = observed_group[var] + var_keys = var_path.keys() + if 'Attributes' in var_keys: + attrs_df = pd.DataFrame(var_path['Attributes'][:]) + # Apply the decoding function to each element in the DataFrame + attrs_df = attrs_df.map(decode_bytes) + if var == 'Flow': + attrs_df['Units'] = 'cfs' + elif var == 'Stage': + attrs_df['Units'] = 'ft' + else: + attrs_df['Units'] = 'Unknown' + for site in var_keys: + if site != 'Attributes': + # Site Ex: 'Ref Point: Grapevine_Lake_RP' + prefix = site.split(":")[0] + suffix = site.split(":")[1][1:] + data_df = pd.DataFrame(var_path[site][:]) + # Apply the decoding function to each element in the DataFrame + data_df = data_df.map(decode_bytes) + # Assign data types to the columns + data_df['Date'] = data_df['Date'].apply(adjust_invalid_hour) + data_df['Date'] = pd.to_datetime(data_df['Date'], format='%d%b%Y %H:%M:%S') + data_df['Value'] = data_df['Value'].astype(float) + # Determine the site type + site_type = 'reference_line' if 'Ref Line' in site else 'reference_point' + # Package into an xarray DataArray + da = xr.DataArray( + data_df['Value'].values, + name=suffix, + dims=["time"], + coords={ + "time": data_df['Date'].values, + }, + attrs={"units": attrs_df['Units'][0], "hdf_path": f"{output_path}/{var}/{site}"} + ) + da_list.append(da.to_dataset(name=var)) + site_list.append(suffix) + + # Combine into an xarray dataset with 'site' as a dimension + ds = xr.concat(da_list, dim=pd.Index(site_list, name='site')) + + return ds + + def observed_data_timeseries_output(self) -> xr.Dataset: + """Return observed data timeseries output data for reference lines or points from a HEC-RAS HDF plan file. + + Returns + ------- + xr.Dataset + An xarray Dataset with observed timeseries output data for reference lines or points. + """ + return self.observed_timeseries_output(vartype="Flow") + def reference_points_timeseries_output(self) -> xr.Dataset: """Return timeseries output data for reference points from a HEC-RAS HDF plan file. @@ -1279,6 +1382,16 @@ def get_meteorology_precip_attrs(self) -> Dict: """ return self.get_attrs(self.PRECIP_PATH) + def get_obs_data_attrs(self) -> Dict: + """Return observed data attributes from a HEC-RAS HDF plan file. + + Returns + ------- + dict + Dictionary of observed data attributes. + """ + return self.get_attrs(self.OBS_DATA_PATH) + def get_results_unsteady_attrs(self) -> Dict: """Return unsteady attributes from a HEC-RAS HDF plan file. From e4d946902c3c2be9bd7dd16d8a6a98f312cb34b4 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 23 Oct 2024 11:17:47 -0600 Subject: [PATCH 02/25] updated doc strings for new function --- src/rashdf/plan.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index c085238..c886afd 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -1129,7 +1129,15 @@ def observed_timeseries_output(self, vartype: str = "Flow") -> xr.Dataset: Returns ------- xr.Dataset - An xarray Dataset with reference line timeseries data. + An xarray Dataset with observed timeseries data for both reference lines and reference points. + + Coordinates: + - 'time': datetime64[ns] + - 'obs_name': object + + Data variables: + - 'Flow': (obs_name, time) float64 + - 'Stage': (obs_name, time) float64 """ # Decode the contents of the DataFrame from utf-8 From 43b7523f1622dbc71a5739c0c5b4b89cf0b3f215 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 23 Oct 2024 11:23:47 -0600 Subject: [PATCH 03/25] added parameters within doc string --- src/rashdf/plan.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index c886afd..f4b5149 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -1125,6 +1125,9 @@ def observed_timeseries_output(self, vartype: str = "Flow") -> xr.Dataset: Parameters ---------- + vartype : str, optional + The type of observed data to retrieve. Must be either "Flow" or "Stage". + (default: "Flow") Returns ------- From 9b1f0aec56232d1a5d430c26713cd9c97aef2500 Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 5 Nov 2024 14:16:26 -0700 Subject: [PATCH 04/25] updated activation instructions for windows users --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index cfc48a7..4469c24 100644 --- a/README.md +++ b/README.md @@ -110,8 +110,11 @@ $ python -m venv venv-rashdf Activate the virtual environment: ``` +# For macOS/Linux $ source ./venv/bin/activate (venv-rashdf) $ +# For Windows +$ source venv-rashdf/Scripts/activate ``` Install dev dependencies: From b581e9cdf3b3e5b499ce62089c2815b067f8e33e Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 5 Nov 2024 14:21:23 -0700 Subject: [PATCH 05/25] revised function observed_timeseries_input --- src/rashdf/plan.py | 94 +++++++++++++++++++++------------------------- 1 file changed, 42 insertions(+), 52 deletions(-) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index f4b5149..fdfdd0e 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -4,6 +4,7 @@ from .utils import ( df_datetimes_to_str, ras_timesteps_to_datetimes, + parse_ras_datetime, parse_ras_datetime_ms, deprecated, ) @@ -1120,8 +1121,8 @@ def reference_lines_timeseries_output(self) -> xr.Dataset: """ return self.reference_timeseries_output(reftype="lines") - def observed_timeseries_output(self, vartype: str = "Flow") -> xr.Dataset: - """Return observed timeseries output data for reference lines and points from a HEC-RAS HDF plan file. + def observed_timeseries_input(self, vartype: str = "Flow") -> xr.Dataset: + """Return observed timeseries input data for reference lines and points from a HEC-RAS HDF plan file. Parameters ---------- @@ -1131,37 +1132,22 @@ def observed_timeseries_output(self, vartype: str = "Flow") -> xr.Dataset: Returns ------- - xr.Dataset + Dict[Site: str, xr.DataArray] An xarray Dataset with observed timeseries data for both reference lines and reference points. Coordinates: - 'time': datetime64[ns] - - 'obs_name': object Data variables: - - 'Flow': (obs_name, time) float64 - - 'Stage': (obs_name, time) float64 + - 'Flow' or 'Stage': float64 """ # Decode the contents of the DataFrame from utf-8 def decode_bytes(val): if isinstance(val, bytes): - return val.decode('utf-8') + return val.decode("utf-8") return val - # Function to adjust invalid hour values - def adjust_invalid_hour(date_str): - if '24:00:00' in date_str: - # Split the date and time parts - date_part, time_part = date_str.split() - # Replace '24:00:00' with '00:00:00' - new_time_part = '00:00:00' - # Convert the date part to a datetime object and add one day - new_date_part = (pd.to_datetime(date_part, format='%d%b%Y') + pd.Timedelta(days=1)).strftime('%d%b%Y') - # Combine the new date and time parts - return f'{new_date_part} {new_time_part}' - return date_str - if vartype == "Flow": output_path = self.OBS_FLOW_OUTPUT_PATH elif vartype == "Stage": @@ -1175,61 +1161,65 @@ def adjust_invalid_hour(date_str): f"Could not find HDF group at path '{output_path}'." f" Does the Plan HDF file contain reference {vartype[:-1]} output data?" ) - - for var in observed_group.keys(): - var_path = observed_group[var] - var_keys = var_path.keys() - if 'Attributes' in var_keys: - attrs_df = pd.DataFrame(var_path['Attributes'][:]) + print(f"observed_group: {observed_group}") + if "Attributes" in observed_group.keys(): + attr_path = observed_group["Attributes"] + print(f"attr_path: {attr_path}") + attrs_df = pd.DataFrame(attr_path[:]) # Apply the decoding function to each element in the DataFrame attrs_df = attrs_df.map(decode_bytes) - if var == 'Flow': - attrs_df['Units'] = 'cfs' - elif var == 'Stage': - attrs_df['Units'] = 'ft' + if vartype == "Flow": + attrs_df["Units"] = "cfs" + elif vartype == "Stage": + attrs_df["Units"] = "ft" else: - attrs_df['Units'] = 'Unknown' - for site in var_keys: - if site != 'Attributes': + attrs_df["Units"] = "Unknown" + das = {} + for site in observed_group.keys(): + if site != "Attributes": # Site Ex: 'Ref Point: Grapevine_Lake_RP' + site_path = observed_group[site] prefix = site.split(":")[0] suffix = site.split(":")[1][1:] - data_df = pd.DataFrame(var_path[site][:]) + data_df = pd.DataFrame(site_path[:]) # Apply the decoding function to each element in the DataFrame data_df = data_df.map(decode_bytes) # Assign data types to the columns - data_df['Date'] = data_df['Date'].apply(adjust_invalid_hour) - data_df['Date'] = pd.to_datetime(data_df['Date'], format='%d%b%Y %H:%M:%S') - data_df['Value'] = data_df['Value'].astype(float) + data_df["Date"] = data_df["Date"].apply(parse_ras_datetime) + data_df["Date"] = pd.to_datetime( + data_df["Date"], format="%d%b%Y %H:%M:%S" + ) + data_df["Value"] = data_df["Value"].astype(float) # Determine the site type - site_type = 'reference_line' if 'Ref Line' in site else 'reference_point' + site_type = ( + "reference_line" if "Ref Line" in site else "reference_point" + ) # Package into an xarray DataArray da = xr.DataArray( - data_df['Value'].values, - name=suffix, + data_df["Value"].values, + name=vartype, dims=["time"], coords={ - "time": data_df['Date'].values, + "time": data_df["Date"].values, + }, + attrs={ + "units": attrs_df["Units"][0], + "hdf_path": f"{output_path}/{site}", }, - attrs={"units": attrs_df['Units'][0], "hdf_path": f"{output_path}/{var}/{site}"} ) - da_list.append(da.to_dataset(name=var)) - site_list.append(suffix) + das[suffix] = da - # Combine into an xarray dataset with 'site' as a dimension - ds = xr.concat(da_list, dim=pd.Index(site_list, name='site')) - - return ds + return das - def observed_data_timeseries_output(self) -> xr.Dataset: - """Return observed data timeseries output data for reference lines or points from a HEC-RAS HDF plan file. + def observed_data_timeseries_input(self) -> xr.Dataset: + """Return observed data timeseries input data for reference lines or points from a HEC-RAS HDF plan file. Returns ------- xr.Dataset - An xarray Dataset with observed timeseries output data for reference lines or points. + An xarray Dataset with observed timeseries input data for reference lines or points. """ - return self.observed_timeseries_output(vartype="Flow") + return self.observed_timeseries_input(vartype="Flow") def reference_points_timeseries_output(self) -> xr.Dataset: """Return timeseries output data for reference points from a HEC-RAS HDF plan file. From c49baacef124051676dcff054d93bd76e51b35fe Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 5 Nov 2024 14:22:24 -0700 Subject: [PATCH 06/25] added tests for observed_timeseries_input --- tests/test_plan.py | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) diff --git a/tests/test_plan.py b/tests/test_plan.py index c058441..a57c8b8 100644 --- a/tests/test_plan.py +++ b/tests/test_plan.py @@ -29,6 +29,7 @@ BALD_EAGLE_P18 = TEST_DATA / "ras/BaldEagleDamBrk.p18.hdf" BALD_EAGLE_P18_TIMESERIES = TEST_DATA / "ras/BaldEagleDamBrk.p18.timeseries.hdf" BALD_EAGLE_P18_REF = TEST_DATA / "ras/BaldEagleDamBrk.reflines-refpts.p18.hdf" +DENTON = TEST_DATA / "ras/Denton.hdf" MUNCIE_G05 = TEST_DATA / "ras/Muncie.g05.hdf" COAL_G01 = TEST_DATA / "ras/Coal.g01.hdf" BAXTER_P01 = TEST_DATA / "ras_1d/Baxter.p01.hdf" @@ -617,3 +618,27 @@ def test__mesh_summary_outputs_df(tmp_path): TEST_CSV / "BaldEagleDamBrk.summary-cells-selectvars.csv", shallow=False, ) + + +def test_observed_timeseries_input_flow(): + with RasPlanHdf(DENTON) as phdf: + ds = phdf.observed_timeseries_input(vartype="Flow") + df = ds["Denton-Justin_RL"].to_dataframe() + valid_df = pd.read_csv( + TEST_CSV / "Denton-Justin_RL_Flow.csv", + index_col="time", + parse_dates=True, + ) + assert_frame_equal(df, valid_df) + + +def test_observed_timeseries_input_stage(): + with RasPlanHdf(DENTON) as phdf: + ds = phdf.observed_timeseries_input(vartype="Stage") + df = ds["Grapevine_Lake_RP"].to_dataframe() + valid_df = pd.read_csv( + TEST_CSV / "Grapevine_Lake_RP_Stage.csv", + index_col="time", + parse_dates=True, + ) + assert_frame_equal(df, valid_df) From 4be57a1b4976b4b9353ea2785c0cbc3e64c42d46 Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 5 Nov 2024 14:23:45 -0700 Subject: [PATCH 07/25] new test hdf and csv data for testing the observed_timeseries_input function --- tests/data/csv/Denton-Justin_RL_Flow.csv | 1932 ++++++++++++++++++++ tests/data/csv/Grapevine_Lake_RP_Stage.csv | 484 +++++ tests/data/ras/Denton.hdf | Bin 0 -> 48756 bytes 3 files changed, 2416 insertions(+) create mode 100644 tests/data/csv/Denton-Justin_RL_Flow.csv create mode 100644 tests/data/csv/Grapevine_Lake_RP_Stage.csv create mode 100644 tests/data/ras/Denton.hdf diff --git a/tests/data/csv/Denton-Justin_RL_Flow.csv b/tests/data/csv/Denton-Justin_RL_Flow.csv new file mode 100644 index 0000000..9e1d15b --- /dev/null +++ b/tests/data/csv/Denton-Justin_RL_Flow.csv @@ -0,0 +1,1932 @@ +time,Flow +2015-10-22 23:45:00,1.9600000381469727 +2015-10-23 00:00:00,1.9600000381469727 +2015-10-23 00:15:00,1.7999999523162842 +2015-10-23 00:30:00,2.130000114440918 +2015-10-23 00:45:00,2.130000114440918 +2015-10-23 01:00:00,2.309999942779541 +2015-10-23 01:15:00,2.619999885559082 +2015-10-23 01:30:00,2.619999885559082 +2015-10-23 01:45:00,2.7899999618530273 +2015-10-23 02:00:00,2.7899999618530273 +2015-10-23 02:15:00,2.7899999618530273 +2015-10-23 02:30:00,2.7899999618530273 +2015-10-23 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For macOS/Linux $ source ./venv/bin/activate -(venv-rashdf) $ +(venv-rashdf) +Or +$ source venv-rashdf/bin/activate + # For Windows $ source venv-rashdf/Scripts/activate ``` From 6a7c44306fdcfb465e3c7707a6f99ccb309f1e13 Mon Sep 17 00:00:00 2001 From: zherbz Date: Thu, 7 Nov 2024 17:25:32 +0000 Subject: [PATCH 09/25] added fiona==1.9.6 as a dependency in order for all plan tests to succesfully pass --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index f77687b..053a3d8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,10 +13,10 @@ classifiers = [ "Programming Language :: Python :: 3.12", ] version = "0.6.0" -dependencies = ["h5py", "geopandas>=1.0,<2.0", "pyarrow", "xarray"] +dependencies = ["h5py", "geopandas>=1.0,<2.0", "pyarrow", "xarray", "fiona==1.9.6"] [project.optional-dependencies] -dev = ["pre-commit", "ruff", "pytest", "pytest-cov", "fiona", "kerchunk", "zarr", "dask", "fsspec", "s3fs"] +dev = ["pre-commit", "ruff", "pytest", "pytest-cov", "kerchunk", "zarr", "dask", "fsspec", "s3fs"] docs = ["sphinx", "numpydoc", "sphinx_rtd_theme"] [project.urls] From fb23af92e2a783a8c4d45f2d49e5db91287c1092 Mon Sep 17 00:00:00 2001 From: zherbz Date: Thu, 7 Nov 2024 17:27:01 +0000 Subject: [PATCH 10/25] added a devcontainer folder for those using Windows OS systems needing to work within containerized Linux systems --- .devcontainer/Dockerfile | 1 + .devcontainer/devcontainer.json | 28 ++++++++++++++++++++++++++++ 2 files changed, 29 insertions(+) create mode 100644 .devcontainer/Dockerfile create mode 100644 .devcontainer/devcontainer.json diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 0000000..09d0c22 --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1 @@ +FROM mcr.microsoft.com/devcontainers/base:jammy diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..c88c79d --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,28 @@ +{ + "name": "rashdf-devcontainer", + "build": { + "dockerfile": "Dockerfile", + "context": ".." + }, + "features": { + "ghcr.io/devcontainers/features/git:1": {}, + "ghcr.io/devcontainers/features/python:1":{"version":"3.12"} + }, + "mounts": [], + "customizations": { + "vscode": { + "extensions": [ + "ms-python.python", + "ms-python.pylint", + "GitHub.copilot", + "ms-python.black-formatter" + ], + "settings": { + "python.defaultInterpreterPath": "/opt/conda/envs/rashdf/bin/python" + } + } + }, + // avoid dubious ownership of the workspace folder https://www.kenmuse.com/blog/avoiding-dubious-ownership-in-dev-containers/ + "postStartCommand": "git config --global --add safe.directory ${containerWorkspaceFolder}", + "postCreateCommand": "sudo chown -R vscode:vscode ${containerWorkspaceFolder}" +} \ No newline at end of file From a3dda6f27aefd5c45fe01b7f987e31e71ea9a001 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 20 Nov 2024 22:29:10 +0000 Subject: [PATCH 11/25] replaced black-formatted and pylint with charliermash.ruff --- .devcontainer/devcontainer.json | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index c88c79d..a7678ae 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -13,9 +13,8 @@ "vscode": { "extensions": [ "ms-python.python", - "ms-python.pylint", - "GitHub.copilot", - "ms-python.black-formatter" + "charliermarsh.ruff", + "GitHub.copilot" ], "settings": { "python.defaultInterpreterPath": "/opt/conda/envs/rashdf/bin/python" From b19acc52339968f5835cc8722f7ac8abb9591429 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 20 Nov 2024 22:30:25 +0000 Subject: [PATCH 12/25] updated for documentation on venv activation across platforms --- README.md | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 8a425ea..5878bb9 100644 --- a/README.md +++ b/README.md @@ -111,13 +111,10 @@ $ python -m venv venv-rashdf Activate the virtual environment: ``` # For macOS/Linux -$ source ./venv/bin/activate -(venv-rashdf) -Or -$ source venv-rashdf/bin/activate +$ source venv-rashdf/bin/activate $ # For Windows -$ source venv-rashdf/Scripts/activate +> ./venv-rashdf/Scripts/activate ``` Install dev dependencies: From 164911ae4f458df6b47e85d5ec8d76777b59d346 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 20 Nov 2024 22:31:13 +0000 Subject: [PATCH 13/25] moved the pinned version of Fiona into the list of optional dependencies --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 053a3d8..f99e7aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,10 +13,10 @@ classifiers = [ "Programming Language :: Python :: 3.12", ] version = "0.6.0" -dependencies = ["h5py", "geopandas>=1.0,<2.0", "pyarrow", "xarray", "fiona==1.9.6"] +dependencies = ["h5py", "geopandas>=1.0,<2.0", "pyarrow", "xarray"] [project.optional-dependencies] -dev = ["pre-commit", "ruff", "pytest", "pytest-cov", "kerchunk", "zarr", "dask", "fsspec", "s3fs"] +dev = ["pre-commit", "ruff", "pytest", "pytest-cov", "kerchunk", "zarr", "dask", "fsspec", "s3fs", "fiona==1.9.6"] docs = ["sphinx", "numpydoc", "sphinx_rtd_theme"] [project.urls] From ffc1f1b40bbaf493f71fcd14e48f68787db55332 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 20 Nov 2024 22:33:00 +0000 Subject: [PATCH 14/25] removed redundant methods and updated bytes conversion to use utils methods --- src/rashdf/plan.py | 75 +++++++++++----------------------------------- 1 file changed, 17 insertions(+), 58 deletions(-) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index fdfdd0e..81848a1 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -7,6 +7,7 @@ parse_ras_datetime, parse_ras_datetime_ms, deprecated, + convert_ras_hdf_value, ) from geopandas import GeoDataFrame @@ -1121,7 +1122,7 @@ def reference_lines_timeseries_output(self) -> xr.Dataset: """ return self.reference_timeseries_output(reftype="lines") - def observed_timeseries_input(self, vartype: str = "Flow") -> xr.Dataset: + def observed_timeseries_input(self, vartype: str = "Flow") -> dict: """Return observed timeseries input data for reference lines and points from a HEC-RAS HDF plan file. Parameters @@ -1132,22 +1133,16 @@ def observed_timeseries_input(self, vartype: str = "Flow") -> xr.Dataset: Returns ------- - Dict[Site: str, xr.DataArray] - An xarray Dataset with observed timeseries data for both reference lines and reference points. - - Coordinates: - - 'time': datetime64[ns] - - Data variables: - - 'Flow' or 'Stage': float64 + Dict + A dictionary of xarray datasets with observed timeseries data for both reference lines and reference points. + + Keys: Reference line and reference point names + Values: xarray Datasets with observed timeseries data + Coordinates: + - 'Date': datetime64[ns] + Data variables: + - 'Flow' or 'Stage': float64 """ - - # Decode the contents of the DataFrame from utf-8 - def decode_bytes(val): - if isinstance(val, bytes): - return val.decode("utf-8") - return val - if vartype == "Flow": output_path = self.OBS_FLOW_OUTPUT_PATH elif vartype == "Stage": @@ -1161,13 +1156,10 @@ def decode_bytes(val): f"Could not find HDF group at path '{output_path}'." f" Does the Plan HDF file contain reference {vartype[:-1]} output data?" ) - print(f"observed_group: {observed_group}") if "Attributes" in observed_group.keys(): attr_path = observed_group["Attributes"] print(f"attr_path: {attr_path}") - attrs_df = pd.DataFrame(attr_path[:]) - # Apply the decoding function to each element in the DataFrame - attrs_df = attrs_df.map(decode_bytes) + attrs_df = pd.DataFrame(attr_path[:]).map(convert_ras_hdf_value) if vartype == "Flow": attrs_df["Units"] = "cfs" elif vartype == "Stage": @@ -1179,48 +1171,25 @@ def decode_bytes(val): if site != "Attributes": # Site Ex: 'Ref Point: Grapevine_Lake_RP' site_path = observed_group[site] - prefix = site.split(":")[0] - suffix = site.split(":")[1][1:] - data_df = pd.DataFrame(site_path[:]) - # Apply the decoding function to each element in the DataFrame - data_df = data_df.map(decode_bytes) - # Assign data types to the columns - data_df["Date"] = data_df["Date"].apply(parse_ras_datetime) - data_df["Date"] = pd.to_datetime( - data_df["Date"], format="%d%b%Y %H:%M:%S" - ) - data_df["Value"] = data_df["Value"].astype(float) - # Determine the site type - site_type = ( - "reference_line" if "Ref Line" in site else "reference_point" - ) + site_name = site.split(":")[1][1:] + data_df = pd.DataFrame(site_path[:]).map(convert_ras_hdf_value) # Package into an xarray DataArray da = xr.DataArray( data_df["Value"].values, name=vartype, - dims=["time"], + dims=["Date"], coords={ - "time": data_df["Date"].values, + "Date": data_df["Date"].values, }, attrs={ "units": attrs_df["Units"][0], "hdf_path": f"{output_path}/{site}", }, ) - das[suffix] = da + das[site_name] = da return das - def observed_data_timeseries_input(self) -> xr.Dataset: - """Return observed data timeseries input data for reference lines or points from a HEC-RAS HDF plan file. - - Returns - ------- - xr.Dataset - An xarray Dataset with observed timeseries input data for reference lines or points. - """ - return self.observed_timeseries_input(vartype="Flow") - def reference_points_timeseries_output(self) -> xr.Dataset: """Return timeseries output data for reference points from a HEC-RAS HDF plan file. @@ -1383,16 +1352,6 @@ def get_meteorology_precip_attrs(self) -> Dict: """ return self.get_attrs(self.PRECIP_PATH) - def get_obs_data_attrs(self) -> Dict: - """Return observed data attributes from a HEC-RAS HDF plan file. - - Returns - ------- - dict - Dictionary of observed data attributes. - """ - return self.get_attrs(self.OBS_DATA_PATH) - def get_results_unsteady_attrs(self) -> Dict: """Return unsteady attributes from a HEC-RAS HDF plan file. From 728b661c62fefd39cdfc40102fd7632d1bba7806 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 20 Nov 2024 22:33:34 +0000 Subject: [PATCH 15/25] updated test functions related to observed hdf data reading --- tests/test_plan.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_plan.py b/tests/test_plan.py index a57c8b8..43aff62 100644 --- a/tests/test_plan.py +++ b/tests/test_plan.py @@ -626,7 +626,7 @@ def test_observed_timeseries_input_flow(): df = ds["Denton-Justin_RL"].to_dataframe() valid_df = pd.read_csv( TEST_CSV / "Denton-Justin_RL_Flow.csv", - index_col="time", + index_col="Date", parse_dates=True, ) assert_frame_equal(df, valid_df) @@ -638,7 +638,7 @@ def test_observed_timeseries_input_stage(): df = ds["Grapevine_Lake_RP"].to_dataframe() valid_df = pd.read_csv( TEST_CSV / "Grapevine_Lake_RP_Stage.csv", - index_col="time", + index_col="Date", parse_dates=True, ) assert_frame_equal(df, valid_df) From 6443edbde8987294f9ade75c8e252cceb1db2689 Mon Sep 17 00:00:00 2001 From: zherbz Date: Wed, 20 Nov 2024 22:34:07 +0000 Subject: [PATCH 16/25] updated test csv datasets related to observed hdf function testing --- tests/data/csv/Denton-Justin_RL_Flow.csv | 2 +- tests/data/csv/Grapevine_Lake_RP_Stage.csv | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/data/csv/Denton-Justin_RL_Flow.csv b/tests/data/csv/Denton-Justin_RL_Flow.csv index 9e1d15b..bf8adc6 100644 --- a/tests/data/csv/Denton-Justin_RL_Flow.csv +++ b/tests/data/csv/Denton-Justin_RL_Flow.csv @@ -1,4 +1,4 @@ -time,Flow +Date,Flow 2015-10-22 23:45:00,1.9600000381469727 2015-10-23 00:00:00,1.9600000381469727 2015-10-23 00:15:00,1.7999999523162842 diff --git a/tests/data/csv/Grapevine_Lake_RP_Stage.csv b/tests/data/csv/Grapevine_Lake_RP_Stage.csv index 2a7a377..492a3e1 100644 --- a/tests/data/csv/Grapevine_Lake_RP_Stage.csv +++ b/tests/data/csv/Grapevine_Lake_RP_Stage.csv @@ -1,4 +1,4 @@ -time,Stage +Date,Stage 2015-10-22 23:00:00,534.6328735351562 2015-10-23 00:00:00,534.6582641601562 2015-10-23 01:00:00,534.7096557617188 From f448399885bff3e8658a972bb716cceadb7292f0 Mon Sep 17 00:00:00 2001 From: zherbz Date: Mon, 25 Nov 2024 16:56:07 +0000 Subject: [PATCH 17/25] updated mac/linux env install docs --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5878bb9..eeba4e3 100644 --- a/README.md +++ b/README.md @@ -111,7 +111,8 @@ $ python -m venv venv-rashdf Activate the virtual environment: ``` # For macOS/Linux -$ source venv-rashdf/bin/activate $ +$ source ./venv-rashdf/bin/activate +(venv-rashdf) $ # For Windows > ./venv-rashdf/Scripts/activate From 93fdadda34dd52b6285188fe42a57bfb45cdd2e3 Mon Sep 17 00:00:00 2001 From: zherbz Date: Mon, 25 Nov 2024 16:57:40 +0000 Subject: [PATCH 18/25] removed parse_ras_datetime import, and instead defaulting to stage units if vartype is not flow since there will only ever be these two variables --- src/rashdf/plan.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index 81848a1..ab5c6ec 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -4,7 +4,6 @@ from .utils import ( df_datetimes_to_str, ras_timesteps_to_datetimes, - parse_ras_datetime, parse_ras_datetime_ms, deprecated, convert_ras_hdf_value, @@ -1162,10 +1161,9 @@ def observed_timeseries_input(self, vartype: str = "Flow") -> dict: attrs_df = pd.DataFrame(attr_path[:]).map(convert_ras_hdf_value) if vartype == "Flow": attrs_df["Units"] = "cfs" - elif vartype == "Stage": - attrs_df["Units"] = "ft" else: - attrs_df["Units"] = "Unknown" + attrs_df["Units"] = "ft" + das = {} for site in observed_group.keys(): if site != "Attributes": From 1ef65f2fea2003cbe89f53ca0705aa061a642298 Mon Sep 17 00:00:00 2001 From: zherbz Date: Mon, 25 Nov 2024 16:58:58 +0000 Subject: [PATCH 19/25] added tests for value error and rasplanhdf error related to observed input ts function --- tests/test_plan.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/tests/test_plan.py b/tests/test_plan.py index 43aff62..ed6b908 100644 --- a/tests/test_plan.py +++ b/tests/test_plan.py @@ -642,3 +642,15 @@ def test_observed_timeseries_input_stage(): parse_dates=True, ) assert_frame_equal(df, valid_df) + + +def test_observed_timeseries_input_value_error(): + with RasPlanHdf(DENTON) as phdf: + with pytest.raises(ValueError): + phdf.observed_timeseries_input(vartype="Fake Variable") + + +def test_observed_timeseries_input_rasplanhdf_error(): + with RasPlanHdf(BALD_EAGLE_P18) as phdf: + with pytest.raises(RasPlanHdfError): + phdf.observed_timeseries_input(vartype="Flow") From fe0421a7e429a1a9b2b724e59524e9d6ac038951 Mon Sep 17 00:00:00 2001 From: zherbz Date: Mon, 25 Nov 2024 19:56:53 +0000 Subject: [PATCH 20/25] updated observed_timeseries_input to instead return an xarray dataset for all site data --- src/rashdf/plan.py | 45 ++++++++++++++++++++++----------------------- 1 file changed, 22 insertions(+), 23 deletions(-) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index ab5c6ec..c45be85 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -1132,15 +1132,8 @@ def observed_timeseries_input(self, vartype: str = "Flow") -> dict: Returns ------- - Dict - A dictionary of xarray datasets with observed timeseries data for both reference lines and reference points. - - Keys: Reference line and reference point names - Values: xarray Datasets with observed timeseries data - Coordinates: - - 'Date': datetime64[ns] - Data variables: - - 'Flow' or 'Stage': float64 + xr.Dataset + An xarray Dataset with observed timeseries input data for both reference lines and reference points. """ if vartype == "Flow": output_path = self.OBS_FLOW_OUTPUT_PATH @@ -1153,39 +1146,45 @@ def observed_timeseries_input(self, vartype: str = "Flow") -> dict: if observed_group is None: raise RasPlanHdfError( f"Could not find HDF group at path '{output_path}'." - f" Does the Plan HDF file contain reference {vartype[:-1]} output data?" + f" Does the Plan HDF file contain reference {vartype} output data?" ) if "Attributes" in observed_group.keys(): attr_path = observed_group["Attributes"] - print(f"attr_path: {attr_path}") attrs_df = pd.DataFrame(attr_path[:]).map(convert_ras_hdf_value) - if vartype == "Flow": - attrs_df["Units"] = "cfs" - else: - attrs_df["Units"] = "ft" das = {} - for site in observed_group.keys(): + for idx, site in enumerate(observed_group.keys()): if site != "Attributes": # Site Ex: 'Ref Point: Grapevine_Lake_RP' site_path = observed_group[site] - site_name = site.split(":")[1][1:] - data_df = pd.DataFrame(site_path[:]).map(convert_ras_hdf_value) - # Package into an xarray DataArray + site_name = site.split(":")[1][1:] # Grapevine_Lake_RP + ref_type = site.split(":")[0] # Ref Point + if ref_type == "Ref Line": + ref_type = "refln" + else: + ref_type = "refpt" + df = pd.DataFrame(site_path[:]).map(convert_ras_hdf_value) + # Ensure the Date index is unique + df = df.drop_duplicates(subset="Date") + # Package into an 1D xarray DataArray + values = df["Value"].values + times = df["Date"].values da = xr.DataArray( - data_df["Value"].values, + values, name=vartype, dims=["Date"], coords={ - "Date": data_df["Date"].values, + "Date": times, }, attrs={ - "units": attrs_df["Units"][0], "hdf_path": f"{output_path}/{site}", }, ) + # Expand dimensions to add additional coordinates + da = da.expand_dims({f"{ref_type}_id": [idx - 1]}) + da = da.expand_dims({f"{ref_type}_name": [site_name]}) das[site_name] = da - + das = xr.concat([das[site] for site in das.keys()], dim="Date") return das def reference_points_timeseries_output(self) -> xr.Dataset: From 6cd4371d7eaa5e6b20536a5cb164002fe7f9d965 Mon Sep 17 00:00:00 2001 From: zherbz Date: Mon, 25 Nov 2024 19:57:38 +0000 Subject: [PATCH 21/25] updated tests with new function features --- tests/test_plan.py | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/tests/test_plan.py b/tests/test_plan.py index ed6b908..a6146bf 100644 --- a/tests/test_plan.py +++ b/tests/test_plan.py @@ -623,24 +623,20 @@ def test__mesh_summary_outputs_df(tmp_path): def test_observed_timeseries_input_flow(): with RasPlanHdf(DENTON) as phdf: ds = phdf.observed_timeseries_input(vartype="Flow") - df = ds["Denton-Justin_RL"].to_dataframe() - valid_df = pd.read_csv( - TEST_CSV / "Denton-Justin_RL_Flow.csv", - index_col="Date", - parse_dates=True, - ) + df = ds.sel(refln_name="Denton-Justin_RL").to_dataframe().dropna().reset_index() + valid_df = pd.read_csv(TEST_CSV / "Denton-Justin_RL_Flow.csv") + valid_df["Date"] = pd.to_datetime(valid_df["Date"]) assert_frame_equal(df, valid_df) def test_observed_timeseries_input_stage(): with RasPlanHdf(DENTON) as phdf: ds = phdf.observed_timeseries_input(vartype="Stage") - df = ds["Grapevine_Lake_RP"].to_dataframe() - valid_df = pd.read_csv( - TEST_CSV / "Grapevine_Lake_RP_Stage.csv", - index_col="Date", - parse_dates=True, + df = ( + ds.sel(refpt_name="Grapevine_Lake_RP").to_dataframe().dropna().reset_index() ) + valid_df = pd.read_csv(TEST_CSV / "Grapevine_Lake_RP_Stage.csv") + valid_df["Date"] = pd.to_datetime(valid_df["Date"]) assert_frame_equal(df, valid_df) From 9d6ea25f01da664e661d92bb3f711dacfd223987 Mon Sep 17 00:00:00 2001 From: zherbz Date: Mon, 25 Nov 2024 19:58:47 +0000 Subject: [PATCH 22/25] updated test datasets now with added dims for columns --- tests/data/csv/Denton-Justin_RL_Flow.csv | 3856 ++++++++++---------- tests/data/csv/Grapevine_Lake_RP_Stage.csv | 968 ++--- 2 files changed, 2408 insertions(+), 2416 deletions(-) diff --git a/tests/data/csv/Denton-Justin_RL_Flow.csv b/tests/data/csv/Denton-Justin_RL_Flow.csv index bf8adc6..7595d45 100644 --- a/tests/data/csv/Denton-Justin_RL_Flow.csv +++ b/tests/data/csv/Denton-Justin_RL_Flow.csv @@ -1,1932 +1,1924 @@ -Date,Flow -2015-10-22 23:45:00,1.9600000381469727 -2015-10-23 00:00:00,1.9600000381469727 -2015-10-23 00:15:00,1.7999999523162842 -2015-10-23 00:30:00,2.130000114440918 -2015-10-23 00:45:00,2.130000114440918 -2015-10-23 01:00:00,2.309999942779541 -2015-10-23 01:15:00,2.619999885559082 -2015-10-23 01:30:00,2.619999885559082 -2015-10-23 01:45:00,2.7899999618530273 -2015-10-23 02:00:00,2.7899999618530273 -2015-10-23 02:15:00,2.7899999618530273 -2015-10-23 02:30:00,2.7899999618530273 -2015-10-23 02:45:00,2.9700000286102295 -2015-10-23 03:00:00,2.9700000286102295 -2015-10-23 03:15:00,2.9700000286102295 -2015-10-23 03:30:00,2.9700000286102295 -2015-10-23 03:45:00,2.9700000286102295 -2015-10-23 04:00:00,2.9700000286102295 -2015-10-23 04:15:00,3.1500000953674316 -2015-10-23 04:30:00,3.1500000953674316 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-2015-10-26 05:45:00,23.100000381469727 -2015-10-26 06:00:00,23.100000381469727 -2015-10-26 06:15:00,22.5 -2015-10-26 06:30:00,22.5 -2015-10-26 06:45:00,22.5 -2015-10-26 07:00:00,21.799999237060547 -2015-10-26 07:15:00,21.799999237060547 -2015-10-26 07:30:00,21.799999237060547 -2015-10-26 07:45:00,21.100000381469727 -2015-10-26 08:00:00,21.100000381469727 -2015-10-26 08:15:00,20.5 -2015-10-26 08:30:00,20.5 -2015-10-26 08:45:00,19.899999618530273 -2015-10-26 09:00:00,19.899999618530273 -2015-10-26 09:15:00,19.299999237060547 -2015-10-26 09:30:00,19.299999237060547 -2015-10-26 09:45:00,18.700000762939453 -2015-10-26 10:00:00,18.700000762939453 -2015-10-26 10:15:00,18.100000381469727 -2015-10-26 10:30:00,17.5 -2015-10-26 10:45:00,17.5 -2015-10-26 11:00:00,17.5 -2015-10-26 11:15:00,16.899999618530273 -2015-10-26 11:30:00,16.899999618530273 -2015-10-26 11:45:00,16.299999237060547 -2015-10-26 12:00:00,16.299999237060547 -2015-10-26 12:15:00,15.699999809265137 -2015-10-26 12:30:00,14.699999809265137 -2015-10-26 12:45:00,14.699999809265137 -2015-10-26 13:00:00,14.100000381469727 -2015-10-26 13:15:00,14.100000381469727 -2015-10-26 13:30:00,14.100000381469727 -2015-10-26 13:45:00,13.600000381469727 -2015-10-26 14:00:00,13.600000381469727 -2015-10-26 14:15:00,13.600000381469727 -2015-10-26 14:30:00,13.199999809265137 -2015-10-26 14:45:00,12.699999809265137 -2015-10-26 15:00:00,12.699999809265137 -2015-10-26 15:15:00,12.199999809265137 -2015-10-26 15:30:00,12.199999809265137 -2015-10-26 15:45:00,12.199999809265137 -2015-10-26 16:00:00,11.800000190734863 -2015-10-26 16:15:00,11.800000190734863 -2015-10-26 16:30:00,11.399999618530273 -2015-10-26 16:45:00,11.399999618530273 -2015-10-26 17:00:00,11.399999618530273 -2015-10-26 17:15:00,10.899999618530273 -2015-10-26 17:30:00,10.5 -2015-10-26 17:45:00,10.5 -2015-10-26 18:00:00,10.5 -2015-10-26 18:15:00,10.100000381469727 -2015-10-26 18:30:00,10.100000381469727 -2015-10-26 18:45:00,10.100000381469727 -2015-10-26 19:00:00,9.760000228881836 -2015-10-26 19:15:00,9.760000228881836 -2015-10-26 19:30:00,9.760000228881836 -2015-10-26 19:45:00,9.399999618530273 -2015-10-26 20:00:00,9.399999618530273 -2015-10-26 20:15:00,9.399999618530273 -2015-10-26 20:30:00,9.039999961853027 -2015-10-26 20:45:00,9.039999961853027 -2015-10-26 21:00:00,9.039999961853027 -2015-10-26 21:15:00,8.359999656677246 -2015-10-26 21:30:00,8.359999656677246 -2015-10-26 21:45:00,8.359999656677246 -2015-10-26 22:00:00,8.359999656677246 -2015-10-26 22:15:00,8.359999656677246 -2015-10-26 22:30:00,7.920000076293945 -2015-10-26 22:45:00,7.920000076293945 -2015-10-26 23:00:00,7.5 -2015-10-26 23:15:00,7.5 -2015-10-26 23:30:00,7.5 -2015-10-26 23:45:00,7.5 -2015-10-27 00:00:00,7.099999904632568 -2015-10-27 00:15:00,7.099999904632568 -2015-10-27 00:30:00,7.099999904632568 -2015-10-27 00:45:00,6.71999979019165 -2015-10-27 01:00:00,6.71999979019165 -2015-10-27 01:15:00,6.71999979019165 -2015-10-27 01:30:00,6.71999979019165 -2015-10-27 01:45:00,6.349999904632568 -2015-10-27 02:00:00,6.349999904632568 -2015-10-27 02:15:00,6.349999904632568 -2015-10-27 02:30:00,6.349999904632568 -2015-10-27 02:45:00,6.349999904632568 -2015-10-27 03:00:00,6.010000228881836 -2015-10-27 03:15:00,6.010000228881836 -2015-10-27 03:30:00,6.010000228881836 -2015-10-27 03:45:00,6.010000228881836 -2015-10-27 04:00:00,5.679999828338623 -2015-10-27 04:15:00,5.679999828338623 -2015-10-27 04:30:00,5.679999828338623 -2015-10-27 04:45:00,5.679999828338623 -2015-10-27 05:00:00,5.679999828338623 -2015-10-27 05:15:00,5.679999828338623 -2015-10-27 05:30:00,5.679999828338623 -2015-10-27 05:45:00,5.679999828338623 -2015-10-27 06:00:00,5.360000133514404 -2015-10-27 06:15:00,5.360000133514404 -2015-10-27 06:30:00,5.360000133514404 -2015-10-27 06:45:00,5.360000133514404 -2015-10-27 07:00:00,5.360000133514404 -2015-10-27 07:15:00,5.360000133514404 -2015-10-27 07:30:00,5.059999942779541 -2015-10-27 07:45:00,5.059999942779541 -2015-10-27 08:00:00,5.059999942779541 -2015-10-27 08:15:00,5.059999942779541 -2015-10-27 08:30:00,5.059999942779541 -2015-10-27 08:45:00,4.78000020980835 -2015-10-27 09:00:00,4.78000020980835 -2015-10-27 09:15:00,4.78000020980835 -2015-10-27 09:30:00,4.78000020980835 -2015-10-27 09:45:00,4.78000020980835 -2015-10-27 10:00:00,4.78000020980835 -2015-10-27 10:15:00,4.510000228881836 -2015-10-27 10:30:00,4.510000228881836 -2015-10-27 10:45:00,4.510000228881836 -2015-10-27 11:00:00,4.510000228881836 -2015-10-27 11:15:00,4.510000228881836 -2015-10-27 11:30:00,4.25 -2015-10-27 11:45:00,4.25 -2015-10-27 12:00:00,4.25 -2015-10-27 12:15:00,4.25 -2015-10-27 12:30:00,3.7799999713897705 -2015-10-27 12:45:00,3.7799999713897705 -2015-10-27 13:00:00,3.7799999713897705 -2015-10-27 13:15:00,3.7799999713897705 -2015-10-27 13:30:00,3.559999942779541 -2015-10-27 13:45:00,3.559999942779541 -2015-10-27 14:00:00,3.559999942779541 -2015-10-27 14:15:00,3.559999942779541 -2015-10-27 14:30:00,3.559999942779541 -2015-10-27 14:45:00,3.3499999046325684 -2015-10-27 15:00:00,3.3499999046325684 -2015-10-27 15:15:00,3.3499999046325684 -2015-10-27 15:30:00,3.3499999046325684 -2015-10-27 15:45:00,3.1500000953674316 -2015-10-27 16:00:00,3.1500000953674316 -2015-10-27 16:15:00,3.1500000953674316 -2015-10-27 16:30:00,3.1500000953674316 -2015-10-27 16:45:00,3.1500000953674316 -2015-10-27 17:00:00,2.9700000286102295 -2015-10-27 17:15:00,2.9700000286102295 -2015-10-27 17:30:00,2.9700000286102295 -2015-10-27 17:45:00,2.9700000286102295 -2015-10-27 18:00:00,2.7899999618530273 -2015-10-27 18:15:00,2.7899999618530273 -2015-10-27 18:30:00,2.7899999618530273 -2015-10-27 18:45:00,2.7899999618530273 -2015-10-27 19:00:00,2.7899999618530273 -2015-10-27 19:15:00,2.7899999618530273 -2015-10-27 19:30:00,2.7899999618530273 -2015-10-27 19:45:00,2.619999885559082 -2015-10-27 20:00:00,2.619999885559082 -2015-10-27 20:15:00,2.619999885559082 -2015-10-27 20:30:00,2.619999885559082 -2015-10-27 20:45:00,2.619999885559082 -2015-10-27 21:00:00,2.4600000381469727 -2015-10-27 21:15:00,2.4600000381469727 -2015-10-27 21:30:00,2.4600000381469727 -2015-10-27 21:45:00,2.4600000381469727 -2015-10-27 22:00:00,2.4600000381469727 -2015-10-27 22:15:00,2.4600000381469727 -2015-10-27 22:30:00,2.309999942779541 -2015-10-27 22:45:00,2.309999942779541 -2015-10-27 23:00:00,2.309999942779541 -2015-10-27 23:15:00,2.309999942779541 -2015-10-27 23:30:00,2.309999942779541 -2015-10-27 23:45:00,2.309999942779541 -2015-10-28 00:00:00,2.309999942779541 -2015-10-28 00:15:00,2.130000114440918 -2015-10-28 00:30:00,2.309999942779541 -2015-10-28 00:45:00,2.130000114440918 -2015-10-28 01:00:00,2.130000114440918 -2015-10-28 01:15:00,2.130000114440918 -2015-10-28 01:30:00,2.130000114440918 -2015-10-28 01:45:00,2.130000114440918 -2015-10-28 02:00:00,2.130000114440918 -2015-10-28 02:15:00,2.130000114440918 -2015-10-28 02:30:00,2.130000114440918 -2015-10-28 02:45:00,1.9600000381469727 -2015-10-28 03:00:00,1.9600000381469727 -2015-10-28 03:15:00,1.9600000381469727 -2015-10-28 03:30:00,1.9600000381469727 -2015-10-28 03:45:00,1.9600000381469727 -2015-10-28 04:00:00,1.9600000381469727 -2015-10-28 04:15:00,1.9600000381469727 -2015-10-28 04:30:00,1.9600000381469727 -2015-10-28 04:45:00,1.7999999523162842 -2015-10-28 05:00:00,1.7999999523162842 -2015-10-28 05:15:00,1.7999999523162842 -2015-10-28 05:30:00,1.7999999523162842 -2015-10-28 05:45:00,1.7999999523162842 -2015-10-28 06:00:00,1.7999999523162842 -2015-10-28 06:15:00,1.7999999523162842 -2015-10-28 06:30:00,1.7999999523162842 -2015-10-28 06:45:00,1.7999999523162842 -2015-10-28 07:00:00,1.659999966621399 -2015-10-28 07:15:00,1.659999966621399 -2015-10-28 07:30:00,1.659999966621399 -2015-10-28 07:45:00,1.659999966621399 -2015-10-28 08:00:00,1.659999966621399 -2015-10-28 08:15:00,1.659999966621399 -2015-10-28 08:30:00,1.659999966621399 -2015-10-28 08:45:00,1.5199999809265137 -2015-10-28 09:00:00,1.5199999809265137 -2015-10-28 09:15:00,1.5199999809265137 -2015-10-28 09:30:00,1.5199999809265137 -2015-10-28 09:45:00,1.5199999809265137 -2015-10-28 10:00:00,1.5199999809265137 -2015-10-28 10:15:00,1.5199999809265137 -2015-10-28 10:30:00,1.5199999809265137 -2015-10-28 10:45:00,1.5199999809265137 -2015-10-28 11:00:00,1.5199999809265137 -2015-10-28 11:15:00,1.5199999809265137 -2015-10-28 11:30:00,1.2799999713897705 -2015-10-28 11:45:00,1.2799999713897705 -2015-10-28 12:00:00,1.2799999713897705 -2015-10-28 12:15:00,1.2799999713897705 -2015-10-28 12:30:00,1.2799999713897705 -2015-10-28 12:45:00,1.2799999713897705 -2015-10-28 13:00:00,1.2799999713897705 -2015-10-28 13:15:00,1.2799999713897705 -2015-10-28 13:30:00,1.1699999570846558 -2015-10-28 13:45:00,1.2799999713897705 -2015-10-28 14:00:00,1.2799999713897705 -2015-10-28 14:15:00,1.1699999570846558 -2015-10-28 14:30:00,1.1699999570846558 -2015-10-28 14:45:00,1.1699999570846558 -2015-10-28 15:00:00,1.2799999713897705 -2015-10-28 15:15:00,1.1699999570846558 -2015-10-28 15:30:00,1.1699999570846558 -2015-10-28 15:45:00,1.1699999570846558 -2015-10-28 16:00:00,1.1699999570846558 -2015-10-28 16:15:00,1.1699999570846558 -2015-10-28 16:30:00,1.0700000524520874 -2015-10-28 16:45:00,1.0700000524520874 -2015-10-28 17:00:00,1.0700000524520874 -2015-10-28 17:15:00,1.0700000524520874 -2015-10-28 17:30:00,1.0700000524520874 -2015-10-28 17:45:00,1.0700000524520874 -2015-10-28 18:00:00,1.0700000524520874 -2015-10-28 18:15:00,1.0700000524520874 -2015-10-28 18:30:00,1.0700000524520874 -2015-10-28 18:45:00,1.0700000524520874 -2015-10-28 19:00:00,0.9800000190734863 -2015-10-28 19:15:00,1.0700000524520874 -2015-10-28 19:30:00,0.9800000190734863 -2015-10-28 19:45:00,1.0700000524520874 -2015-10-28 20:00:00,0.9800000190734863 -2015-10-28 20:15:00,0.9800000190734863 -2015-10-28 20:30:00,1.0700000524520874 -2015-10-28 20:45:00,0.9800000190734863 -2015-10-28 21:00:00,1.0700000524520874 -2015-10-28 21:15:00,0.9800000190734863 -2015-10-28 21:30:00,0.9800000190734863 -2015-10-28 21:45:00,0.9800000190734863 -2015-10-28 22:00:00,0.9800000190734863 -2015-10-28 22:15:00,0.9800000190734863 -2015-10-28 22:30:00,0.9800000190734863 -2015-10-28 22:45:00,0.9800000190734863 -2015-10-28 23:00:00,0.9800000190734863 -2015-10-28 23:15:00,0.9800000190734863 -2015-10-28 23:30:00,0.9800000190734863 -2015-10-28 23:45:00,0.9800000190734863 -2015-10-29 00:00:00,0.9800000190734863 -2015-10-29 00:15:00,0.9800000190734863 -2015-10-29 00:30:00,0.9800000190734863 -2015-10-29 00:45:00,0.9800000190734863 -2015-10-29 01:00:00,0.9800000190734863 -2015-10-29 01:15:00,0.9800000190734863 -2015-10-29 01:30:00,0.9800000190734863 -2015-10-29 01:45:00,0.9800000190734863 -2015-10-29 02:00:00,0.9800000190734863 -2015-10-29 02:15:00,0.9800000190734863 -2015-10-29 02:30:00,0.9800000190734863 -2015-10-29 02:45:00,0.9800000190734863 -2015-10-29 03:00:00,0.9800000190734863 -2015-10-29 03:15:00,0.9800000190734863 -2015-10-29 03:30:00,0.9800000190734863 -2015-10-29 03:45:00,0.9800000190734863 -2015-10-29 04:00:00,0.9800000190734863 -2015-10-29 04:15:00,0.9800000190734863 -2015-10-29 04:30:00,0.9800000190734863 -2015-10-29 04:45:00,0.9800000190734863 -2015-10-29 05:00:00,0.9800000190734863 -2015-10-29 05:15:00,0.9800000190734863 -2015-10-29 05:30:00,0.9800000190734863 -2015-10-29 05:45:00,0.9800000190734863 -2015-10-29 06:00:00,0.9800000190734863 -2015-10-29 06:15:00,0.8999999761581421 -2015-10-29 06:30:00,0.9800000190734863 -2015-10-29 06:45:00,0.8999999761581421 -2015-10-29 07:00:00,0.8999999761581421 -2015-10-29 07:15:00,0.8999999761581421 -2015-10-29 07:30:00,0.8999999761581421 -2015-10-29 07:45:00,0.8999999761581421 -2015-10-29 08:00:00,0.8999999761581421 -2015-10-29 08:15:00,0.8999999761581421 -2015-10-29 08:30:00,0.8999999761581421 -2015-10-29 08:45:00,0.8999999761581421 -2015-10-29 09:00:00,0.8999999761581421 -2015-10-29 09:15:00,0.8999999761581421 -2015-10-29 09:30:00,0.8199999928474426 -2015-10-29 09:45:00,0.8999999761581421 -2015-10-29 10:00:00,0.8999999761581421 -2015-10-29 10:15:00,0.8999999761581421 -2015-10-29 10:30:00,0.8199999928474426 -2015-10-29 10:45:00,0.8999999761581421 -2015-10-29 11:00:00,0.8199999928474426 -2015-10-29 11:15:00,0.8199999928474426 -2015-10-29 11:30:00,0.8199999928474426 -2015-10-29 11:45:00,0.8199999928474426 -2015-10-29 12:00:00,0.8199999928474426 -2015-10-29 12:15:00,0.8199999928474426 -2015-10-29 12:30:00,0.8199999928474426 -2015-10-29 12:45:00,0.8199999928474426 -2015-10-29 13:00:00,0.8199999928474426 -2015-10-29 13:15:00,0.8199999928474426 -2015-10-29 13:30:00,0.8199999928474426 -2015-10-29 13:45:00,0.8199999928474426 -2015-10-29 14:00:00,0.8199999928474426 -2015-10-29 14:15:00,0.8199999928474426 -2015-10-29 14:30:00,0.8199999928474426 -2015-10-29 14:45:00,0.8199999928474426 -2015-10-29 15:00:00,0.8199999928474426 -2015-10-29 15:15:00,0.8199999928474426 -2015-10-29 15:30:00,0.8199999928474426 -2015-10-29 15:45:00,0.75 -2015-10-29 16:00:00,0.8199999928474426 -2015-10-29 16:15:00,0.8199999928474426 -2015-10-29 16:30:00,0.75 -2015-10-29 16:45:00,0.8199999928474426 -2015-10-29 17:00:00,0.8199999928474426 -2015-10-29 17:15:00,0.75 -2015-10-29 17:30:00,0.8199999928474426 -2015-10-29 17:45:00,0.8199999928474426 -2015-10-29 18:00:00,0.8199999928474426 -2015-10-29 18:15:00,0.75 -2015-10-29 18:30:00,0.75 -2015-10-29 18:45:00,0.75 -2015-10-29 19:00:00,0.8199999928474426 -2015-10-29 19:15:00,0.75 -2015-10-29 19:30:00,0.75 -2015-10-29 19:45:00,0.75 -2015-10-29 20:00:00,0.75 -2015-10-29 20:15:00,0.75 -2015-10-29 20:30:00,0.75 -2015-10-29 20:45:00,0.75 -2015-10-29 21:00:00,0.75 -2015-10-29 21:15:00,0.75 -2015-10-29 21:30:00,0.75 -2015-10-29 21:45:00,0.75 -2015-10-29 22:00:00,0.75 -2015-10-29 22:15:00,0.75 -2015-10-29 22:30:00,0.75 -2015-10-29 22:45:00,0.75 -2015-10-29 23:00:00,0.75 -2015-10-29 23:15:00,0.75 -2015-10-29 23:30:00,0.75 -2015-10-29 23:45:00,0.75 -2015-10-30 00:00:00,0.75 -2015-10-30 00:15:00,0.75 -2015-10-30 00:30:00,0.75 -2015-10-30 00:45:00,0.6800000071525574 -2015-10-30 01:00:00,0.6800000071525574 -2015-10-30 01:15:00,0.6800000071525574 -2015-10-30 01:30:00,0.75 -2015-10-30 01:45:00,0.6800000071525574 -2015-10-30 02:00:00,0.6800000071525574 -2015-10-30 02:15:00,0.6800000071525574 -2015-10-30 02:30:00,0.6800000071525574 -2015-10-30 02:45:00,0.6800000071525574 -2015-10-30 03:00:00,0.6800000071525574 -2015-10-30 03:15:00,0.6800000071525574 -2015-10-30 03:30:00,0.6800000071525574 -2015-10-30 03:45:00,0.6800000071525574 -2015-10-30 04:00:00,0.6800000071525574 -2015-10-30 04:15:00,0.6800000071525574 -2015-10-30 04:30:00,0.6800000071525574 -2015-10-30 04:45:00,0.6800000071525574 -2015-10-30 05:00:00,0.6200000047683716 -2015-10-30 05:15:00,0.6800000071525574 -2015-10-30 05:30:00,0.6200000047683716 -2015-10-30 05:45:00,0.6200000047683716 -2015-10-30 06:00:00,0.6200000047683716 -2015-10-30 06:15:00,0.6200000047683716 -2015-10-30 06:30:00,0.6200000047683716 -2015-10-30 06:45:00,0.6200000047683716 -2015-10-30 07:00:00,0.6200000047683716 -2015-10-30 07:15:00,0.6200000047683716 -2015-10-30 07:30:00,0.6200000047683716 -2015-10-30 07:45:00,0.6200000047683716 -2015-10-30 08:00:00,0.6200000047683716 -2015-10-30 08:15:00,0.6200000047683716 -2015-10-30 08:30:00,0.6200000047683716 -2015-10-30 08:45:00,0.6200000047683716 -2015-10-30 09:00:00,0.6200000047683716 -2015-10-30 09:15:00,0.6200000047683716 -2015-10-30 09:30:00,0.6200000047683716 -2015-10-30 09:45:00,0.6200000047683716 -2015-10-30 10:00:00,0.6200000047683716 -2015-10-30 10:15:00,0.6200000047683716 -2015-10-30 10:30:00,0.6200000047683716 -2015-10-30 10:45:00,0.6200000047683716 -2015-10-30 11:00:00,0.6800000071525574 -2015-10-30 11:15:00,0.6800000071525574 -2015-10-30 11:30:00,0.6200000047683716 -2015-10-30 11:45:00,0.6800000071525574 -2015-10-30 12:00:00,0.6800000071525574 -2015-10-30 12:15:00,0.75 -2015-10-30 12:30:00,0.75 -2015-10-30 12:45:00,0.8199999928474426 -2015-10-30 13:00:00,0.9800000190734863 -2015-10-30 13:15:00,1.0700000524520874 -2015-10-30 13:30:00,1.2799999713897705 -2015-10-30 13:45:00,1.5199999809265137 -2015-10-30 14:00:00,1.5199999809265137 -2015-10-30 14:15:00,1.659999966621399 -2015-10-30 14:30:00,1.7999999523162842 -2015-10-30 14:45:00,1.9600000381469727 -2015-10-30 15:00:00,2.130000114440918 -2015-10-30 15:15:00,2.309999942779541 -2015-10-30 15:30:00,2.4600000381469727 -2015-10-30 15:45:00,2.619999885559082 -2015-10-30 16:00:00,2.619999885559082 -2015-10-30 16:15:00,2.619999885559082 -2015-10-30 16:30:00,2.619999885559082 -2015-10-30 16:45:00,2.619999885559082 -2015-10-30 17:00:00,2.619999885559082 -2015-10-30 17:15:00,2.619999885559082 -2015-10-30 17:30:00,2.619999885559082 -2015-10-30 17:45:00,2.9700000286102295 -2015-10-30 18:00:00,3.7799999713897705 -2015-10-30 18:15:00,7.099999904632568 -2015-10-30 18:30:00,13.600000381469727 -2015-10-30 18:45:00,22.5 -2015-10-30 19:00:00,30.100000381469727 -2015-10-30 19:15:00,38.400001525878906 -2015-10-30 19:30:00,44.599998474121094 -2015-10-30 19:45:00,49.20000076293945 -2015-10-30 20:00:00,54.0 -2015-10-30 20:15:00,57.70000076293945 -2015-10-30 20:30:00,59.0 -2015-10-30 20:45:00,60.400001525878906 -2015-10-30 21:00:00,59.0 -2015-10-30 21:15:00,57.70000076293945 -2015-10-30 21:30:00,55.20000076293945 -2015-10-30 21:45:00,54.0 -2015-10-30 22:00:00,51.599998474121094 -2015-10-30 22:15:00,49.20000076293945 -2015-10-30 22:30:00,46.900001525878906 -2015-10-30 22:45:00,44.599998474121094 -2015-10-30 23:00:00,42.5 -2015-10-30 23:15:00,40.400001525878906 -2015-10-30 23:30:00,38.400001525878906 -2015-10-30 23:45:00,35.599998474121094 -2015-10-31 00:00:00,34.70000076293945 -2015-10-31 00:15:00,31.899999618530273 -2015-10-31 00:30:00,33.70000076293945 -2015-10-31 00:45:00,39.400001525878906 -2015-10-31 01:00:00,39.400001525878906 -2015-10-31 01:15:00,43.599998474121094 -2015-10-31 01:30:00,48.0 -2015-10-31 01:45:00,51.599998474121094 -2015-10-31 02:00:00,55.20000076293945 -2015-10-31 02:15:00,65.30000305175781 -2015-10-31 02:30:00,88.19999694824219 -2015-10-31 02:45:00,121.0 -2015-10-31 03:00:00,156.0 -2015-10-31 03:15:00,199.0 -2015-10-31 03:30:00,253.0 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21:30:00,2190.0 -2015-10-31 21:45:00,2180.0 -2015-10-31 22:00:00,2170.0 -2015-10-31 22:15:00,2160.0 -2015-10-31 22:30:00,2140.0 -2015-10-31 22:45:00,2100.0 -2015-10-31 23:00:00,2080.0 -2015-10-31 23:15:00,2050.0 -2015-10-31 23:30:00,2030.0 -2015-10-31 23:45:00,1990.0 -2015-11-01 00:00:00,1970.0 -2015-11-01 00:15:00,1964.0 -2015-11-01 00:30:00,1958.0 -2015-11-01 00:45:00,1952.0 -2015-11-01 01:00:00,1946.0 -2015-11-01 01:15:00,1940.0 -2015-11-01 01:30:00,1910.0 -2015-11-01 01:45:00,1870.0 -2015-11-01 02:00:00,1850.0 -2015-11-01 02:15:00,1820.0 -2015-11-01 02:30:00,1790.0 -2015-11-01 02:45:00,1750.0 -2015-11-01 03:00:00,1720.0 -2015-11-01 03:15:00,1690.0 -2015-11-01 03:30:00,1670.0 -2015-11-01 03:45:00,1640.0 -2015-11-01 04:00:00,1620.0 -2015-11-01 04:15:00,1600.0 -2015-11-01 04:30:00,1570.0 -2015-11-01 04:45:00,1540.0 -2015-11-01 05:00:00,1520.0 -2015-11-01 05:15:00,1500.0 -2015-11-01 05:30:00,1470.0 -2015-11-01 05:45:00,1450.0 -2015-11-01 06:00:00,1430.0 -2015-11-01 06:00:00,1420.0 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-2015-11-01 13:30:00,778.0 -2015-11-01 13:45:00,773.0 -2015-11-01 14:00:00,748.0 -2015-11-01 14:15:00,742.0 -2015-11-01 14:30:00,726.0 -2015-11-01 14:45:00,712.0 -2015-11-01 15:00:00,702.0 -2015-11-01 15:15:00,689.0 -2015-11-01 15:30:00,668.0 -2015-11-01 15:45:00,662.0 -2015-11-01 16:00:00,645.0 -2015-11-01 16:15:00,634.0 -2015-11-01 16:30:00,617.0 -2015-11-01 16:45:00,600.0 -2015-11-01 17:00:00,590.0 -2015-11-01 17:15:00,583.0 -2015-11-01 17:30:00,573.0 -2015-11-01 17:45:00,559.0 -2015-11-01 18:00:00,547.0 -2015-11-01 18:15:00,540.0 -2015-11-01 18:30:00,533.0 -2015-11-01 18:45:00,520.0 -2015-11-01 19:00:00,511.0 -2015-11-01 19:15:00,502.0 -2015-11-01 19:30:00,495.0 -2015-11-01 19:45:00,484.0 -2015-11-01 20:00:00,480.0 -2015-11-01 20:15:00,471.0 -2015-11-01 20:30:00,459.0 -2015-11-01 20:45:00,454.0 -2015-11-01 21:00:00,448.0 -2015-11-01 21:15:00,440.0 -2015-11-01 21:30:00,434.0 -2015-11-01 21:45:00,428.0 -2015-11-01 22:00:00,419.0 -2015-11-01 22:15:00,415.0 -2015-11-01 22:30:00,409.0 -2015-11-01 22:45:00,404.0 -2015-11-01 23:00:00,396.0 -2015-11-01 23:15:00,390.0 -2015-11-01 23:30:00,386.0 -2015-11-01 23:45:00,378.0 -2015-11-02 00:00:00,374.0 -2015-11-02 00:15:00,369.0 -2015-11-02 00:30:00,364.0 -2015-11-02 00:45:00,359.0 -2015-11-02 01:00:00,354.0 -2015-11-02 01:15:00,349.0 -2015-11-02 01:30:00,342.0 -2015-11-02 01:45:00,338.0 -2015-11-02 02:00:00,332.0 -2015-11-02 02:15:00,329.0 -2015-11-02 02:30:00,325.0 -2015-11-02 02:45:00,323.0 -2015-11-02 03:00:00,322.0 -2015-11-02 03:15:00,316.0 -2015-11-02 03:30:00,314.0 -2015-11-02 03:45:00,311.0 -2015-11-02 04:00:00,307.0 -2015-11-02 04:15:00,304.0 -2015-11-02 04:30:00,300.0 -2015-11-02 04:45:00,300.0 -2015-11-02 05:00:00,297.0 -2015-11-02 05:15:00,294.0 -2015-11-02 05:30:00,292.0 -2015-11-02 05:45:00,288.0 -2015-11-02 06:00:00,287.0 -2015-11-02 06:15:00,283.0 -2015-11-02 06:30:00,280.0 -2015-11-02 06:45:00,280.0 -2015-11-02 07:00:00,275.0 -2015-11-02 07:15:00,273.0 -2015-11-02 07:30:00,270.0 -2015-11-02 07:45:00,266.0 -2015-11-02 08:00:00,265.0 -2015-11-02 08:15:00,263.0 -2015-11-02 08:30:00,260.0 -2015-11-02 08:45:00,256.0 -2015-11-02 09:00:00,255.0 -2015-11-02 09:15:00,251.0 -2015-11-02 09:30:00,250.0 -2015-11-02 09:45:00,247.0 -2015-11-02 10:00:00,245.0 -2015-11-02 10:15:00,242.0 -2015-11-02 10:30:00,240.0 -2015-11-02 10:45:00,237.0 -2015-11-02 11:00:00,235.0 -2015-11-02 11:15:00,234.0 -2015-11-02 11:30:00,231.0 -2015-11-02 11:45:00,229.0 -2015-11-02 12:00:00,228.0 -2015-11-02 12:15:00,225.0 -2015-11-02 12:30:00,223.0 -2015-11-02 12:45:00,220.0 -2015-11-02 13:00:00,219.0 -2015-11-02 13:15:00,217.0 -2015-11-02 13:30:00,214.0 -2015-11-02 13:45:00,212.0 -2015-11-02 14:00:00,211.0 -2015-11-02 14:15:00,208.0 -2015-11-02 14:30:00,208.0 -2015-11-02 14:45:00,205.0 -2015-11-02 15:00:00,203.0 -2015-11-02 15:15:00,200.0 -2015-11-02 15:30:00,199.0 -2015-11-02 15:45:00,197.0 -2015-11-02 16:00:00,196.0 -2015-11-02 16:15:00,195.0 -2015-11-02 16:30:00,193.0 -2015-11-02 16:45:00,190.0 -2015-11-02 17:00:00,190.0 -2015-11-02 17:15:00,189.0 -2015-11-02 17:30:00,184.0 -2015-11-02 17:45:00,184.0 -2015-11-02 18:00:00,182.0 -2015-11-02 18:15:00,179.0 -2015-11-02 18:30:00,179.0 -2015-11-02 18:45:00,176.0 -2015-11-02 19:00:00,175.0 -2015-11-02 19:15:00,173.0 -2015-11-02 19:30:00,171.0 -2015-11-02 19:45:00,169.0 -2015-11-02 20:00:00,168.0 -2015-11-02 20:15:00,167.0 -2015-11-02 20:30:00,164.0 -2015-11-02 20:45:00,162.0 -2015-11-02 21:00:00,161.0 -2015-11-02 21:15:00,157.0 -2015-11-02 21:30:00,157.0 -2015-11-02 21:45:00,156.0 -2015-11-02 22:00:00,155.0 -2015-11-02 22:15:00,153.0 -2015-11-02 22:30:00,152.0 -2015-11-02 22:45:00,151.0 -2015-11-02 23:00:00,149.0 -2015-11-02 23:15:00,148.0 -2015-11-02 23:30:00,146.0 -2015-11-02 23:45:00,146.0 -2015-11-03 00:00:00,143.0 -2015-11-03 00:15:00,141.8000030517578 -2015-11-03 00:30:00,140.60000610351562 -2015-11-03 00:45:00,139.39999389648438 -2015-11-03 01:00:00,138.1999969482422 -2015-11-03 01:15:00,137.0 -2015-11-03 01:30:00,136.0 -2015-11-03 01:45:00,136.0 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-2015-11-03 11:15:00,100.0 -2015-11-03 11:30:00,99.0 -2015-11-03 11:45:00,97.0 -2015-11-03 12:00:00,97.0 -2015-11-03 12:15:00,95.9000015258789 -2015-11-03 12:30:00,94.5999984741211 -2015-11-03 12:45:00,94.5999984741211 -2015-11-03 13:00:00,93.30000305175781 -2015-11-03 13:15:00,92.0 -2015-11-03 13:30:00,92.0 -2015-11-03 13:45:00,90.69999694824219 -2015-11-03 14:00:00,90.69999694824219 -2015-11-03 14:15:00,89.4000015258789 -2015-11-03 14:30:00,88.19999694824219 -2015-11-03 14:45:00,88.19999694824219 -2015-11-03 15:00:00,86.9000015258789 -2015-11-03 15:15:00,86.9000015258789 -2015-11-03 15:30:00,85.69999694824219 -2015-11-03 15:45:00,84.4000015258789 -2015-11-03 16:00:00,84.4000015258789 -2015-11-03 16:15:00,83.19999694824219 -2015-11-03 16:30:00,83.19999694824219 -2015-11-03 16:45:00,82.0 -2015-11-03 17:00:00,80.80000305175781 -2015-11-03 17:15:00,80.80000305175781 -2015-11-03 17:30:00,80.80000305175781 -2015-11-03 17:45:00,79.5999984741211 -2015-11-03 18:00:00,79.5999984741211 -2015-11-03 18:15:00,78.5 -2015-11-03 18:30:00,78.5 -2015-11-03 18:45:00,78.5 -2015-11-03 19:00:00,77.30000305175781 -2015-11-03 19:15:00,77.30000305175781 -2015-11-03 19:30:00,76.0999984741211 -2015-11-03 19:45:00,74.80000305175781 -2015-11-03 20:00:00,74.80000305175781 -2015-11-03 20:15:00,73.5999984741211 -2015-11-03 20:30:00,73.5999984741211 -2015-11-03 20:45:00,72.30000305175781 -2015-11-03 21:00:00,72.30000305175781 -2015-11-03 21:15:00,71.0999984741211 -2015-11-03 21:30:00,71.0999984741211 -2015-11-03 21:45:00,71.0999984741211 -2015-11-03 22:00:00,69.9000015258789 -2015-11-03 22:15:00,69.9000015258789 -2015-11-03 22:30:00,68.80000305175781 -2015-11-03 22:45:00,67.5999984741211 -2015-11-03 23:00:00,67.5999984741211 -2015-11-03 23:15:00,66.4000015258789 -2015-11-03 23:30:00,66.4000015258789 -2015-11-03 23:45:00,65.30000305175781 -2015-11-04 00:00:00,65.30000305175781 -2015-11-04 00:15:00,64.58000183105469 -2015-11-04 00:30:00,63.86000061035156 -2015-11-04 00:45:00,63.1400032043457 -2015-11-04 01:00:00,62.42000198364258 -2015-11-04 01:15:00,61.70000076293945 -2015-11-04 01:30:00,61.70000076293945 -2015-11-04 01:45:00,60.400001525878906 -2015-11-04 02:00:00,60.400001525878906 -2015-11-04 02:15:00,60.400001525878906 -2015-11-04 02:30:00,60.400001525878906 -2015-11-04 02:45:00,59.0 -2015-11-04 03:00:00,57.70000076293945 -2015-11-04 03:15:00,57.70000076293945 -2015-11-04 03:30:00,56.5 -2015-11-04 03:45:00,56.5 -2015-11-04 04:00:00,56.5 -2015-11-04 04:15:00,55.20000076293945 -2015-11-04 04:30:00,55.20000076293945 -2015-11-04 04:45:00,54.0 -2015-11-04 05:00:00,54.0 -2015-11-04 05:15:00,52.79999923706055 -2015-11-04 05:30:00,52.79999923706055 -2015-11-04 05:45:00,52.79999923706055 -2015-11-04 06:00:00,51.599998474121094 -2015-11-04 06:15:00,51.599998474121094 -2015-11-04 06:30:00,51.599998474121094 -2015-11-04 06:45:00,50.400001525878906 -2015-11-04 07:00:00,50.400001525878906 -2015-11-04 07:15:00,49.20000076293945 -2015-11-04 07:30:00,49.20000076293945 -2015-11-04 07:45:00,49.20000076293945 -2015-11-04 08:00:00,48.0 -2015-11-04 08:15:00,48.0 -2015-11-04 08:30:00,48.0 -2015-11-04 08:45:00,46.900001525878906 -2015-11-04 09:00:00,46.900001525878906 -2015-11-04 09:15:00,45.79999923706055 -2015-11-04 09:30:00,45.79999923706055 -2015-11-04 09:45:00,45.79999923706055 -2015-11-04 10:00:00,44.599998474121094 -2015-11-04 10:15:00,44.599998474121094 -2015-11-04 10:30:00,44.599998474121094 -2015-11-04 10:45:00,44.599998474121094 -2015-11-04 11:00:00,43.599998474121094 -2015-11-04 11:15:00,43.599998474121094 -2015-11-04 11:30:00,42.5 -2015-11-04 11:45:00,42.5 -2015-11-04 12:00:00,42.5 -2015-11-04 12:15:00,41.400001525878906 -2015-11-04 12:30:00,41.400001525878906 -2015-11-04 12:45:00,41.400001525878906 -2015-11-04 13:00:00,41.400001525878906 -2015-11-04 13:15:00,40.400001525878906 -2015-11-04 13:30:00,40.400001525878906 -2015-11-04 13:45:00,40.400001525878906 -2015-11-04 14:00:00,39.400001525878906 -2015-11-04 14:15:00,39.400001525878906 -2015-11-04 14:30:00,39.400001525878906 -2015-11-04 14:45:00,38.400001525878906 -2015-11-04 15:00:00,38.400001525878906 -2015-11-04 15:15:00,37.5 -2015-11-04 15:30:00,37.5 -2015-11-04 15:45:00,37.5 -2015-11-04 16:00:00,37.5 -2015-11-04 16:15:00,37.5 -2015-11-04 16:30:00,36.5 -2015-11-04 16:45:00,36.5 -2015-11-04 17:00:00,36.5 -2015-11-04 17:15:00,36.5 -2015-11-04 17:30:00,35.599998474121094 -2015-11-04 17:45:00,35.599998474121094 -2015-11-04 18:00:00,35.599998474121094 -2015-11-04 18:15:00,34.70000076293945 -2015-11-04 18:30:00,34.70000076293945 -2015-11-04 18:45:00,34.70000076293945 -2015-11-04 19:00:00,34.70000076293945 -2015-11-04 19:15:00,33.70000076293945 -2015-11-04 19:30:00,33.70000076293945 -2015-11-04 19:45:00,33.70000076293945 -2015-11-04 20:00:00,33.70000076293945 -2015-11-04 20:15:00,33.70000076293945 -2015-11-04 20:30:00,32.79999923706055 -2015-11-04 20:45:00,32.79999923706055 -2015-11-04 21:00:00,32.79999923706055 -2015-11-04 21:15:00,32.79999923706055 -2015-11-04 21:30:00,32.79999923706055 -2015-11-04 21:45:00,31.899999618530273 -2015-11-04 22:00:00,31.899999618530273 -2015-11-04 22:15:00,31.899999618530273 -2015-11-04 22:30:00,31.899999618530273 -2015-11-04 22:45:00,31.0 -2015-11-04 23:00:00,31.0 -2015-11-04 23:15:00,31.0 -2015-11-04 23:30:00,31.0 -2015-11-04 23:45:00,31.0 -2015-11-05 00:00:00,30.100000381469727 -2015-11-05 00:15:00,29.940000534057617 -2015-11-05 00:30:00,29.780000686645508 -2015-11-05 00:45:00,29.619998931884766 -2015-11-05 01:00:00,29.459999084472656 -2015-11-05 01:15:00,29.299999237060547 -2015-11-05 01:30:00,29.299999237060547 -2015-11-05 01:45:00,29.299999237060547 -2015-11-05 02:00:00,29.299999237060547 -2015-11-05 02:15:00,29.299999237060547 -2015-11-05 02:30:00,28.5 -2015-11-05 02:45:00,28.5 -2015-11-05 03:00:00,28.5 -2015-11-05 03:15:00,28.5 -2015-11-05 03:30:00,28.5 -2015-11-05 03:45:00,28.5 -2015-11-05 04:00:00,28.5 -2015-11-05 04:15:00,27.600000381469727 -2015-11-05 04:30:00,27.600000381469727 -2015-11-05 04:45:00,27.600000381469727 -2015-11-05 05:00:00,27.600000381469727 -2015-11-05 05:15:00,27.600000381469727 -2015-11-05 05:30:00,27.600000381469727 -2015-11-05 05:45:00,27.600000381469727 -2015-11-05 06:00:00,27.600000381469727 -2015-11-05 06:15:00,27.600000381469727 -2015-11-05 06:30:00,27.600000381469727 -2015-11-05 06:45:00,27.600000381469727 -2015-11-05 07:00:00,26.799999237060547 -2015-11-05 07:15:00,26.799999237060547 -2015-11-05 07:30:00,26.799999237060547 -2015-11-05 07:45:00,26.799999237060547 -2015-11-05 08:00:00,26.799999237060547 -2015-11-05 08:15:00,26.799999237060547 -2015-11-05 08:30:00,26.799999237060547 -2015-11-05 08:45:00,26.799999237060547 -2015-11-05 09:00:00,26.100000381469727 -2015-11-05 09:15:00,26.799999237060547 -2015-11-05 09:30:00,26.100000381469727 -2015-11-05 09:45:00,26.100000381469727 -2015-11-05 10:00:00,26.100000381469727 -2015-11-05 10:15:00,26.100000381469727 -2015-11-05 10:30:00,26.100000381469727 -2015-11-05 10:45:00,26.100000381469727 -2015-11-05 11:00:00,26.100000381469727 -2015-11-05 11:15:00,26.100000381469727 -2015-11-05 11:30:00,26.100000381469727 -2015-11-05 11:45:00,25.299999237060547 -2015-11-05 12:00:00,25.299999237060547 -2015-11-05 12:15:00,25.299999237060547 -2015-11-05 12:30:00,25.299999237060547 -2015-11-05 12:45:00,25.299999237060547 -2015-11-05 13:00:00,24.600000381469727 -2015-11-05 13:15:00,25.299999237060547 -2015-11-05 13:30:00,25.299999237060547 -2015-11-05 13:45:00,24.600000381469727 -2015-11-05 14:00:00,24.600000381469727 -2015-11-05 14:15:00,24.600000381469727 -2015-11-05 14:30:00,24.600000381469727 -2015-11-05 14:45:00,24.600000381469727 -2015-11-05 15:00:00,24.600000381469727 -2015-11-05 15:15:00,23.899999618530273 -2015-11-05 15:30:00,24.600000381469727 -2015-11-05 15:45:00,23.899999618530273 -2015-11-05 16:00:00,23.899999618530273 -2015-11-05 16:15:00,23.899999618530273 -2015-11-05 16:30:00,23.899999618530273 -2015-11-05 16:45:00,23.899999618530273 -2015-11-05 17:00:00,23.899999618530273 -2015-11-05 17:15:00,23.100000381469727 -2015-11-05 17:30:00,23.100000381469727 -2015-11-05 17:45:00,23.100000381469727 -2015-11-05 18:00:00,23.100000381469727 -2015-11-05 18:15:00,23.100000381469727 -2015-11-05 18:30:00,23.100000381469727 -2015-11-05 18:45:00,22.5 -2015-11-05 19:00:00,22.5 -2015-11-05 19:15:00,22.5 -2015-11-05 19:30:00,22.5 -2015-11-05 19:45:00,22.5 -2015-11-05 20:00:00,22.5 -2015-11-05 20:15:00,22.5 -2015-11-05 20:30:00,22.5 -2015-11-05 20:45:00,21.799999237060547 -2015-11-05 21:00:00,21.799999237060547 -2015-11-05 21:15:00,21.799999237060547 -2015-11-05 21:30:00,21.799999237060547 -2015-11-05 21:45:00,21.799999237060547 -2015-11-05 22:00:00,21.100000381469727 -2015-11-05 22:15:00,21.100000381469727 -2015-11-05 22:30:00,21.100000381469727 -2015-11-05 22:45:00,21.100000381469727 -2015-11-05 23:00:00,21.100000381469727 -2015-11-05 23:15:00,21.100000381469727 -2015-11-05 23:30:00,20.5 -2015-11-05 23:45:00,20.5 -2015-11-06 00:00:00,21.799999237060547 -2015-11-06 00:15:00,23.299999237060547 -2015-11-06 00:30:00,24.799999237060547 -2015-11-06 00:45:00,26.299999237060547 -2015-11-06 01:00:00,27.799999237060547 -2015-11-06 01:15:00,29.299999237060547 -2015-11-06 01:30:00,30.100000381469727 -2015-11-06 01:45:00,31.899999618530273 -2015-11-06 02:00:00,34.70000076293945 -2015-11-06 02:15:00,36.5 -2015-11-06 02:30:00,38.400001525878906 -2015-11-06 02:45:00,39.400001525878906 -2015-11-06 03:00:00,63.099998474121094 -2015-11-06 03:15:00,120.0 -2015-11-06 03:30:00,175.0 -2015-11-06 03:45:00,232.0 -2015-11-06 04:00:00,290.0 -2015-11-06 04:15:00,342.0 -2015-11-06 04:30:00,404.0 -2015-11-06 04:45:00,450.0 -2015-11-06 05:00:00,484.0 -2015-11-06 05:15:00,515.0 -2015-11-06 05:30:00,540.0 -2015-11-06 05:45:00,559.0 -2015-11-06 06:00:00,568.0 -2015-11-06 06:15:00,564.0 -2015-11-06 06:30:00,552.0 -2015-11-06 06:45:00,538.0 -2015-11-06 07:00:00,517.0 -2015-11-06 07:15:00,497.0 -2015-11-06 07:30:00,474.0 -2015-11-06 07:45:00,450.0 -2015-11-06 08:00:00,428.0 -2015-11-06 08:15:00,404.0 -2015-11-06 08:30:00,380.0 -2015-11-06 08:45:00,358.0 -2015-11-06 09:00:00,338.0 -2015-11-06 09:15:00,323.0 -2015-11-06 09:30:00,309.0 -2015-11-06 09:45:00,299.0 -2015-11-06 10:00:00,288.0 -2015-11-06 10:15:00,280.0 -2015-11-06 10:30:00,271.0 -2015-11-06 10:45:00,271.0 -2015-11-06 11:00:00,271.0 -2015-11-06 11:15:00,282.0 -2015-11-06 11:30:00,300.0 -2015-11-06 11:45:00,323.0 -2015-11-06 12:00:00,355.0 -2015-11-06 12:15:00,398.0 -2015-11-06 12:30:00,438.0 -2015-11-06 12:45:00,478.0 -2015-11-06 13:00:00,513.0 -2015-11-06 13:15:00,543.0 -2015-11-06 13:30:00,559.0 -2015-11-06 13:45:00,587.0 -2015-11-06 14:00:00,605.0 -2015-11-06 14:15:00,624.0 -2015-11-06 14:30:00,650.0 -2015-11-06 14:45:00,647.0 -2015-11-06 15:00:00,645.0 -2015-11-06 15:15:00,639.0 -2015-11-06 15:30:00,622.0 -2015-11-06 15:45:00,624.0 -2015-11-06 16:00:00,607.0 -2015-11-06 16:15:00,609.0 -2015-11-06 16:30:00,592.0 -2015-11-06 16:45:00,568.0 -2015-11-06 17:00:00,592.0 -2015-11-06 17:15:00,566.0 -2015-11-06 17:30:00,545.0 -2015-11-06 17:45:00,524.0 -2015-11-06 18:00:00,529.0 -2015-11-06 18:15:00,522.0 -2015-11-06 18:30:00,491.0 -2015-11-06 18:45:00,489.0 -2015-11-06 19:00:00,471.0 -2015-11-06 19:15:00,454.0 -2015-11-06 19:30:00,450.0 -2015-11-06 19:45:00,452.0 -2015-11-06 20:00:00,400.0 -2015-11-06 20:15:00,406.0 -2015-11-06 20:30:00,396.0 -2015-11-06 20:45:00,384.0 -2015-11-06 21:00:00,376.0 -2015-11-06 21:15:00,347.0 -2015-11-06 21:30:00,345.0 -2015-11-06 21:45:00,327.0 -2015-11-06 22:00:00,323.0 -2015-11-06 22:15:00,311.0 -2015-11-06 22:30:00,306.0 -2015-11-06 22:45:00,316.0 -2015-11-06 23:00:00,295.0 -2015-11-06 23:15:00,304.0 -2015-11-06 23:30:00,285.0 -2015-11-06 23:45:00,294.0 -2015-11-07 00:00:00,268.0 -2015-11-07 00:15:00,264.0 -2015-11-07 00:30:00,260.0 -2015-11-07 00:45:00,256.0 -2015-11-07 01:00:00,252.0 -2015-11-07 01:15:00,248.0 -2015-11-07 01:30:00,261.0 -2015-11-07 01:45:00,251.0 -2015-11-07 02:00:00,234.0 -2015-11-07 02:15:00,232.0 -2015-11-07 02:30:00,228.0 -2015-11-07 02:45:00,225.0 -2015-11-07 03:00:00,223.0 -2015-11-07 03:15:00,220.0 -2015-11-07 03:30:00,216.0 -2015-11-07 03:45:00,211.0 -2015-11-07 04:00:00,208.0 -2015-11-07 04:15:00,206.0 -2015-11-07 04:30:00,205.0 -2015-11-07 04:45:00,199.0 -2015-11-07 05:00:00,202.0 -2015-11-07 05:15:00,197.0 -2015-11-07 05:30:00,199.0 -2015-11-07 05:45:00,193.0 -2015-11-07 06:00:00,190.0 -2015-11-07 06:15:00,186.0 -2015-11-07 06:30:00,184.0 -2015-11-07 06:45:00,184.0 -2015-11-07 07:00:00,183.0 -2015-11-07 07:15:00,180.0 -2015-11-07 07:30:00,177.0 -2015-11-07 07:45:00,176.0 -2015-11-07 08:00:00,173.0 -2015-11-07 08:15:00,172.0 -2015-11-07 08:30:00,171.0 -2015-11-07 08:45:00,168.0 -2015-11-07 09:00:00,168.0 -2015-11-07 09:15:00,167.0 -2015-11-07 09:30:00,162.0 -2015-11-07 09:45:00,164.0 -2015-11-07 10:00:00,157.0 -2015-11-07 10:15:00,157.0 -2015-11-07 10:30:00,155.0 -2015-11-07 10:45:00,161.0 -2015-11-07 11:00:00,152.0 -2015-11-07 11:15:00,151.0 -2015-11-07 11:30:00,152.0 -2015-11-07 11:45:00,155.0 -2015-11-07 12:00:00,147.0 -2015-11-07 12:15:00,146.0 -2015-11-07 12:30:00,142.0 -2015-11-07 12:45:00,146.0 -2015-11-07 13:00:00,146.0 -2015-11-07 13:15:00,137.0 -2015-11-07 13:30:00,138.0 -2015-11-07 13:45:00,143.0 -2015-11-07 14:00:00,137.0 -2015-11-07 14:15:00,138.0 -2015-11-07 14:30:00,141.0 -2015-11-07 14:45:00,131.0 -2015-11-07 15:00:00,134.0 -2015-11-07 15:15:00,135.0 -2015-11-07 15:30:00,136.0 -2015-11-07 15:45:00,130.0 -2015-11-07 16:00:00,130.0 -2015-11-07 16:15:00,130.0 -2015-11-07 16:30:00,126.0 -2015-11-07 16:45:00,127.0 -2015-11-07 17:00:00,126.0 -2015-11-07 17:15:00,123.0 -2015-11-07 17:30:00,121.0 -2015-11-07 17:45:00,120.0 -2015-11-07 18:00:00,120.0 -2015-11-07 18:15:00,120.0 -2015-11-07 18:30:00,120.0 -2015-11-07 18:45:00,117.0 -2015-11-07 19:00:00,118.0 -2015-11-07 19:15:00,117.0 -2015-11-07 19:30:00,112.0 -2015-11-07 19:45:00,115.0 -2015-11-07 20:00:00,123.0 -2015-11-07 20:15:00,110.0 -2015-11-07 20:30:00,109.0 -2015-11-07 20:45:00,109.0 -2015-11-07 21:00:00,108.0 -2015-11-07 21:15:00,118.0 -2015-11-07 21:30:00,110.0 -2015-11-07 21:45:00,104.0 -2015-11-07 22:00:00,103.0 -2015-11-07 22:15:00,112.0 -2015-11-07 22:30:00,102.0 -2015-11-07 22:45:00,101.0 -2015-11-07 23:00:00,110.0 -2015-11-07 23:15:00,109.0 -2015-11-07 23:30:00,98.0 -2015-11-07 23:45:00,93.30000305175781 -2015-11-08 00:00:00,92.0 -2015-11-08 00:15:00,91.4800033569336 -2015-11-08 00:30:00,90.95999908447266 -2015-11-08 00:45:00,90.44000244140625 -2015-11-08 01:00:00,89.91999816894531 -2015-11-08 01:15:00,89.4000015258789 -2015-11-08 01:30:00,90.69999694824219 -2015-11-08 01:45:00,90.69999694824219 -2015-11-08 02:00:00,88.19999694824219 -2015-11-08 02:15:00,88.19999694824219 -2015-11-08 02:30:00,86.9000015258789 -2015-11-08 02:45:00,88.19999694824219 -2015-11-08 03:00:00,80.80000305175781 -2015-11-08 03:15:00,80.80000305175781 -2015-11-08 03:30:00,78.5 -2015-11-08 03:45:00,79.5999984741211 -2015-11-08 04:00:00,79.5999984741211 -2015-11-08 04:15:00,76.0999984741211 -2015-11-08 04:30:00,76.0999984741211 -2015-11-08 04:45:00,74.80000305175781 -2015-11-08 05:00:00,73.5999984741211 -2015-11-08 05:15:00,74.80000305175781 -2015-11-08 05:30:00,72.30000305175781 -2015-11-08 05:45:00,71.0999984741211 -2015-11-08 06:00:00,71.0999984741211 -2015-11-08 06:15:00,71.0999984741211 -2015-11-08 06:30:00,68.80000305175781 -2015-11-08 06:45:00,68.80000305175781 -2015-11-08 07:00:00,67.5999984741211 -2015-11-08 07:15:00,66.4000015258789 -2015-11-08 07:30:00,66.4000015258789 -2015-11-08 07:45:00,65.30000305175781 -2015-11-08 08:00:00,65.30000305175781 -2015-11-08 08:15:00,64.19999694824219 -2015-11-08 08:30:00,63.099998474121094 -2015-11-08 08:45:00,63.099998474121094 -2015-11-08 09:00:00,61.70000076293945 -2015-11-08 09:15:00,61.70000076293945 -2015-11-08 09:30:00,60.400001525878906 -2015-11-08 09:45:00,59.0 -2015-11-08 10:00:00,59.0 -2015-11-08 10:15:00,57.70000076293945 -2015-11-08 10:30:00,57.70000076293945 -2015-11-08 10:45:00,56.5 -2015-11-08 11:00:00,56.5 -2015-11-08 11:15:00,56.5 -2015-11-08 11:30:00,54.0 -2015-11-08 11:45:00,54.0 -2015-11-08 12:00:00,54.0 -2015-11-08 12:15:00,51.599998474121094 -2015-11-08 12:30:00,52.79999923706055 -2015-11-08 12:45:00,51.599998474121094 -2015-11-08 13:00:00,51.599998474121094 -2015-11-08 13:15:00,51.599998474121094 -2015-11-08 13:30:00,51.599998474121094 -2015-11-08 13:45:00,50.400001525878906 -2015-11-08 14:00:00,49.20000076293945 -2015-11-08 14:15:00,48.0 -2015-11-08 14:30:00,49.20000076293945 -2015-11-08 14:45:00,49.20000076293945 -2015-11-08 15:00:00,48.0 -2015-11-08 15:15:00,48.0 -2015-11-08 15:30:00,46.900001525878906 -2015-11-08 15:45:00,45.79999923706055 -2015-11-08 16:00:00,44.599998474121094 -2015-11-08 16:15:00,43.599998474121094 -2015-11-08 16:30:00,43.599998474121094 -2015-11-08 16:45:00,43.599998474121094 -2015-11-08 17:00:00,42.5 -2015-11-08 17:15:00,41.400001525878906 -2015-11-08 17:30:00,41.400001525878906 -2015-11-08 17:45:00,41.400001525878906 -2015-11-08 18:00:00,40.400001525878906 -2015-11-08 18:15:00,41.400001525878906 -2015-11-08 18:30:00,44.599998474121094 -2015-11-08 18:45:00,43.599998474121094 -2015-11-08 19:00:00,45.79999923706055 -2015-11-08 19:15:00,43.599998474121094 -2015-11-08 19:30:00,41.400001525878906 -2015-11-08 19:45:00,39.400001525878906 -2015-11-08 20:00:00,40.400001525878906 -2015-11-08 20:15:00,40.400001525878906 -2015-11-08 20:30:00,40.400001525878906 -2015-11-08 20:45:00,41.400001525878906 -2015-11-08 21:00:00,40.400001525878906 -2015-11-08 21:15:00,41.400001525878906 -2015-11-08 21:30:00,38.400001525878906 -2015-11-08 21:45:00,38.400001525878906 -2015-11-08 22:00:00,40.400001525878906 -2015-11-08 22:15:00,37.5 -2015-11-08 22:30:00,40.400001525878906 -2015-11-08 22:45:00,38.400001525878906 -2015-11-08 23:00:00,37.5 -2015-11-08 23:15:00,35.599998474121094 -2015-11-08 23:30:00,35.599998474121094 -2015-11-08 23:45:00,35.599998474121094 -2015-11-09 00:00:00,35.599998474121094 -2015-11-09 00:15:00,35.599998474121094 -2015-11-09 00:30:00,35.599998474121094 -2015-11-09 00:45:00,35.599998474121094 -2015-11-09 01:00:00,35.599998474121094 -2015-11-09 01:15:00,35.599998474121094 -2015-11-09 01:30:00,34.70000076293945 -2015-11-09 01:45:00,34.70000076293945 -2015-11-09 02:00:00,33.70000076293945 -2015-11-09 02:15:00,33.70000076293945 -2015-11-09 02:30:00,33.70000076293945 -2015-11-09 02:45:00,32.79999923706055 -2015-11-09 03:00:00,32.79999923706055 -2015-11-09 03:15:00,31.899999618530273 -2015-11-09 03:30:00,31.899999618530273 -2015-11-09 03:45:00,31.899999618530273 -2015-11-09 04:00:00,31.899999618530273 -2015-11-09 04:15:00,31.899999618530273 -2015-11-09 04:30:00,31.899999618530273 -2015-11-09 04:45:00,30.100000381469727 -2015-11-09 05:00:00,30.100000381469727 -2015-11-09 05:15:00,30.100000381469727 -2015-11-09 05:30:00,30.100000381469727 -2015-11-09 05:45:00,30.100000381469727 -2015-11-09 06:00:00,30.100000381469727 -2015-11-09 06:15:00,30.100000381469727 -2015-11-09 06:30:00,30.100000381469727 -2015-11-09 06:45:00,29.299999237060547 -2015-11-09 07:00:00,28.5 -2015-11-09 07:15:00,28.5 -2015-11-09 07:30:00,28.5 -2015-11-09 07:45:00,28.5 -2015-11-09 08:00:00,28.5 -2015-11-09 08:15:00,27.600000381469727 -2015-11-09 08:30:00,27.600000381469727 -2015-11-09 08:45:00,27.600000381469727 -2015-11-09 09:00:00,26.799999237060547 -2015-11-09 09:15:00,27.600000381469727 -2015-11-09 09:30:00,26.799999237060547 -2015-11-09 09:45:00,26.799999237060547 -2015-11-09 10:00:00,26.799999237060547 -2015-11-09 10:15:00,27.600000381469727 -2015-11-09 10:30:00,26.100000381469727 -2015-11-09 10:45:00,26.100000381469727 -2015-11-09 11:00:00,26.799999237060547 -2015-11-09 11:15:00,26.799999237060547 -2015-11-09 11:30:00,26.799999237060547 -2015-11-09 11:45:00,26.799999237060547 -2015-11-09 12:00:00,26.100000381469727 -2015-11-09 12:15:00,25.299999237060547 -2015-11-09 12:30:00,25.299999237060547 -2015-11-09 12:45:00,24.600000381469727 -2015-11-09 13:00:00,25.299999237060547 -2015-11-09 13:15:00,24.600000381469727 -2015-11-09 13:30:00,24.600000381469727 -2015-11-09 13:45:00,24.600000381469727 -2015-11-09 14:00:00,24.600000381469727 -2015-11-09 14:15:00,24.600000381469727 -2015-11-09 14:30:00,24.600000381469727 -2015-11-09 14:45:00,24.600000381469727 -2015-11-09 15:00:00,23.899999618530273 -2015-11-09 15:15:00,23.899999618530273 -2015-11-09 15:30:00,23.899999618530273 -2015-11-09 15:45:00,23.899999618530273 -2015-11-09 16:00:00,22.5 -2015-11-09 16:15:00,22.5 -2015-11-09 16:30:00,22.5 -2015-11-09 16:45:00,22.5 -2015-11-09 17:00:00,22.5 -2015-11-09 17:15:00,22.5 -2015-11-09 17:30:00,22.5 -2015-11-09 17:45:00,21.799999237060547 -2015-11-09 18:00:00,21.799999237060547 -2015-11-09 18:15:00,21.799999237060547 -2015-11-09 18:30:00,21.799999237060547 -2015-11-09 18:45:00,21.799999237060547 -2015-11-09 19:00:00,21.799999237060547 -2015-11-09 19:15:00,21.799999237060547 -2015-11-09 19:30:00,21.799999237060547 -2015-11-09 19:45:00,21.100000381469727 -2015-11-09 20:00:00,21.100000381469727 -2015-11-09 20:15:00,21.100000381469727 -2015-11-09 20:30:00,20.5 -2015-11-09 20:45:00,20.5 -2015-11-09 21:00:00,20.5 -2015-11-09 21:15:00,20.5 -2015-11-09 21:30:00,20.5 -2015-11-09 21:45:00,20.5 -2015-11-09 22:00:00,20.5 -2015-11-09 22:15:00,19.899999618530273 -2015-11-09 22:30:00,20.5 -2015-11-09 22:45:00,20.5 -2015-11-09 23:00:00,20.5 -2015-11-09 23:15:00,19.899999618530273 -2015-11-09 23:30:00,19.899999618530273 -2015-11-09 23:45:00,19.299999237060547 -2015-11-10 00:00:00,19.299999237060547 -2015-11-10 00:15:00,19.18000030517578 -2015-11-10 00:30:00,19.059999465942383 -2015-11-10 00:45:00,18.940000534057617 -2015-11-10 01:00:00,18.81999969482422 -2015-11-10 01:15:00,18.700000762939453 -2015-11-10 01:30:00,18.700000762939453 -2015-11-10 01:45:00,18.700000762939453 -2015-11-10 02:00:00,19.299999237060547 -2015-11-10 02:15:00,18.700000762939453 -2015-11-10 02:30:00,18.700000762939453 -2015-11-10 02:45:00,19.299999237060547 -2015-11-10 03:00:00,19.299999237060547 -2015-11-10 03:15:00,19.299999237060547 -2015-11-10 03:30:00,18.700000762939453 -2015-11-10 03:45:00,18.700000762939453 -2015-11-10 04:00:00,18.700000762939453 -2015-11-10 04:15:00,18.700000762939453 -2015-11-10 04:30:00,18.700000762939453 -2015-11-10 04:45:00,18.100000381469727 -2015-11-10 05:00:00,18.100000381469727 -2015-11-10 05:15:00,18.100000381469727 -2015-11-10 05:30:00,18.100000381469727 -2015-11-10 05:45:00,17.5 -2015-11-10 06:00:00,18.100000381469727 -2015-11-10 06:15:00,17.5 -2015-11-10 06:30:00,19.299999237060547 -2015-11-10 06:45:00,17.5 -2015-11-10 07:00:00,18.100000381469727 -2015-11-10 07:15:00,18.100000381469727 -2015-11-10 07:30:00,17.5 -2015-11-10 07:45:00,16.899999618530273 -2015-11-10 08:00:00,17.5 -2015-11-10 08:15:00,16.899999618530273 -2015-11-10 08:30:00,16.899999618530273 -2015-11-10 08:45:00,17.5 -2015-11-10 09:00:00,16.899999618530273 -2015-11-10 09:15:00,16.899999618530273 -2015-11-10 09:30:00,17.5 -2015-11-10 09:45:00,16.899999618530273 -2015-11-10 10:00:00,17.5 -2015-11-10 10:15:00,16.899999618530273 -2015-11-10 10:30:00,16.899999618530273 -2015-11-10 10:45:00,16.899999618530273 -2015-11-10 11:00:00,17.5 -2015-11-10 11:15:00,16.899999618530273 -2015-11-10 11:30:00,16.899999618530273 -2015-11-10 11:45:00,16.299999237060547 -2015-11-10 12:00:00,16.899999618530273 -2015-11-10 12:15:00,16.299999237060547 -2015-11-10 12:30:00,16.899999618530273 -2015-11-10 12:45:00,16.299999237060547 -2015-11-10 13:00:00,16.299999237060547 -2015-11-10 13:15:00,16.299999237060547 -2015-11-10 13:30:00,16.899999618530273 -2015-11-10 13:45:00,16.299999237060547 -2015-11-10 14:00:00,16.299999237060547 -2015-11-10 14:15:00,16.299999237060547 -2015-11-10 14:30:00,16.299999237060547 -2015-11-10 14:45:00,16.299999237060547 -2015-11-10 15:00:00,16.299999237060547 -2015-11-10 15:15:00,15.699999809265137 -2015-11-10 15:30:00,15.699999809265137 -2015-11-10 15:45:00,15.699999809265137 -2015-11-10 16:00:00,15.699999809265137 -2015-11-10 16:15:00,15.199999809265137 -2015-11-10 16:30:00,15.199999809265137 -2015-11-10 16:45:00,15.199999809265137 -2015-11-10 17:00:00,15.199999809265137 -2015-11-10 17:15:00,15.199999809265137 -2015-11-10 17:30:00,15.199999809265137 -2015-11-10 17:45:00,15.199999809265137 -2015-11-10 18:00:00,15.199999809265137 -2015-11-10 18:15:00,15.199999809265137 -2015-11-10 18:30:00,15.199999809265137 -2015-11-10 18:45:00,15.199999809265137 -2015-11-10 19:00:00,15.199999809265137 -2015-11-10 19:15:00,15.199999809265137 -2015-11-10 19:30:00,15.199999809265137 -2015-11-10 19:45:00,14.699999809265137 -2015-11-10 20:00:00,14.699999809265137 -2015-11-10 20:15:00,14.699999809265137 -2015-11-10 20:30:00,14.699999809265137 -2015-11-10 20:45:00,14.699999809265137 -2015-11-10 21:00:00,14.699999809265137 -2015-11-10 21:15:00,15.199999809265137 -2015-11-10 21:30:00,14.699999809265137 -2015-11-10 21:45:00,14.699999809265137 -2015-11-10 22:00:00,14.699999809265137 -2015-11-10 22:15:00,14.100000381469727 -2015-11-10 22:30:00,14.100000381469727 -2015-11-10 22:45:00,14.100000381469727 -2015-11-10 23:00:00,14.699999809265137 -2015-11-10 23:15:00,14.699999809265137 -2015-11-10 23:30:00,14.100000381469727 -2015-11-10 23:45:00,14.699999809265137 -2015-11-11 00:00:00,14.100000381469727 -2015-11-11 00:15:00,15.020000457763672 -2015-11-11 00:30:00,15.940000534057617 -2015-11-11 00:45:00,16.860000610351562 -2015-11-11 01:00:00,17.780000686645508 -2015-11-11 01:15:00,18.700000762939453 -2015-11-11 01:30:00,18.100000381469727 -2015-11-11 01:45:00,17.5 -2015-11-11 02:00:00,16.899999618530273 -2015-11-11 02:15:00,16.299999237060547 -2015-11-11 02:30:00,16.299999237060547 -2015-11-11 02:45:00,20.5 -2015-11-11 03:00:00,16.899999618530273 -2015-11-11 03:15:00,19.299999237060547 -2015-11-11 03:30:00,18.100000381469727 -2015-11-11 03:45:00,17.5 -2015-11-11 04:00:00,16.299999237060547 -2015-11-11 04:15:00,16.899999618530273 -2015-11-11 04:30:00,16.899999618530273 -2015-11-11 04:45:00,15.699999809265137 -2015-11-11 05:00:00,16.899999618530273 -2015-11-11 05:15:00,16.299999237060547 -2015-11-11 05:30:00,15.699999809265137 -2015-11-11 05:45:00,16.899999618530273 -2015-11-11 06:00:00,16.299999237060547 -2015-11-11 06:15:00,15.699999809265137 -2015-11-11 06:30:00,16.299999237060547 -2015-11-11 06:45:00,15.699999809265137 -2015-11-11 07:00:00,15.699999809265137 -2015-11-11 07:15:00,15.699999809265137 -2015-11-11 07:30:00,15.199999809265137 -2015-11-11 07:45:00,15.699999809265137 -2015-11-11 08:00:00,15.199999809265137 -2015-11-11 08:15:00,14.699999809265137 -2015-11-11 08:30:00,14.699999809265137 -2015-11-11 08:45:00,14.699999809265137 -2015-11-11 09:00:00,15.199999809265137 -2015-11-11 09:15:00,14.699999809265137 -2015-11-11 09:30:00,15.199999809265137 -2015-11-11 09:45:00,14.100000381469727 -2015-11-11 10:00:00,14.699999809265137 -2015-11-11 10:15:00,14.699999809265137 -2015-11-11 10:30:00,14.699999809265137 -2015-11-11 10:45:00,14.699999809265137 -2015-11-11 11:00:00,14.699999809265137 -2015-11-11 11:15:00,14.100000381469727 -2015-11-11 11:30:00,14.100000381469727 -2015-11-11 11:45:00,14.100000381469727 -2015-11-11 12:00:00,13.600000381469727 -2015-11-11 12:15:00,13.600000381469727 -2015-11-11 12:30:00,13.600000381469727 -2015-11-11 12:45:00,14.100000381469727 -2015-11-11 13:00:00,13.600000381469727 -2015-11-11 13:15:00,13.600000381469727 -2015-11-11 13:30:00,13.199999809265137 -2015-11-11 13:45:00,13.600000381469727 -2015-11-11 14:00:00,13.199999809265137 -2015-11-11 14:15:00,13.199999809265137 -2015-11-11 14:30:00,13.199999809265137 -2015-11-11 14:45:00,13.199999809265137 -2015-11-11 15:00:00,13.199999809265137 -2015-11-11 15:15:00,13.199999809265137 -2015-11-11 15:30:00,13.199999809265137 -2015-11-11 15:45:00,13.199999809265137 -2015-11-11 16:00:00,12.699999809265137 -2015-11-11 16:15:00,13.199999809265137 -2015-11-11 16:30:00,12.699999809265137 -2015-11-11 16:45:00,12.699999809265137 -2015-11-11 17:00:00,12.699999809265137 -2015-11-11 17:15:00,12.699999809265137 -2015-11-11 17:30:00,13.600000381469727 -2015-11-11 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14:15:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 14:30:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 14:45:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 15:00:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 15:15:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 15:30:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 15:45:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 16:00:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 16:15:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 16:30:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 16:45:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 17:00:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 17:15:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 17:30:00,Denton-Justin_RL,13.600000381469727 +0,2015-11-11 17:45:00,Denton-Justin_RL,13.600000381469727 +0,2015-11-11 18:00:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 18:15:00,Denton-Justin_RL,13.199999809265137 +0,2015-11-11 18:30:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 18:45:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 19:00:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 19:15:00,Denton-Justin_RL,12.699999809265137 +0,2015-11-11 19:30:00,Denton-Justin_RL,11.399999618530273 +0,2015-11-11 19:45:00,Denton-Justin_RL,11.399999618530273 +0,2015-11-11 20:00:00,Denton-Justin_RL,11.399999618530273 +0,2015-11-11 20:15:00,Denton-Justin_RL,11.800000190734863 +0,2015-11-11 20:30:00,Denton-Justin_RL,11.399999618530273 +0,2015-11-11 20:45:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 21:00:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 21:15:00,Denton-Justin_RL,11.399999618530273 +0,2015-11-11 21:30:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 21:45:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 22:00:00,Denton-Justin_RL,11.399999618530273 +0,2015-11-11 22:15:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 22:30:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 22:45:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 23:00:00,Denton-Justin_RL,10.899999618530273 +0,2015-11-11 23:15:00,Denton-Justin_RL,10.5 +0,2015-11-11 23:30:00,Denton-Justin_RL,10.5 +0,2015-11-11 23:45:00,Denton-Justin_RL,10.5 +0,2015-11-12 00:00:00,Denton-Justin_RL,10.5 +0,2015-11-12 00:15:00,Denton-Justin_RL,10.5 diff --git a/tests/data/csv/Grapevine_Lake_RP_Stage.csv b/tests/data/csv/Grapevine_Lake_RP_Stage.csv index 492a3e1..0c170b6 100644 --- a/tests/data/csv/Grapevine_Lake_RP_Stage.csv +++ b/tests/data/csv/Grapevine_Lake_RP_Stage.csv @@ -1,484 +1,484 @@ -Date,Stage -2015-10-22 23:00:00,534.6328735351562 -2015-10-23 00:00:00,534.6582641601562 -2015-10-23 01:00:00,534.7096557617188 -2015-10-23 02:00:00,534.8099975585938 -2015-10-23 03:00:00,534.8499755859375 -2015-10-23 04:00:00,534.8199462890625 -2015-10-23 05:00:00,534.8299560546875 -2015-10-23 06:00:00,534.8800048828125 -2015-10-23 07:00:00,534.9199829101562 -2015-10-23 08:00:00,534.9400024414062 -2015-10-23 09:00:00,534.9199829101562 -2015-10-23 10:00:00,535.0799560546875 -2015-10-23 11:00:00,535.2099609375 -2015-10-23 12:00:00,535.2799682617188 -2015-10-23 13:00:00,535.2899780273438 -2015-10-23 14:00:00,535.2999877929688 -2015-10-23 15:00:00,535.3499755859375 -2015-10-23 16:00:00,535.3599853515625 -2015-10-23 17:00:00,535.3699951171875 -2015-10-23 18:00:00,535.4099731445312 -2015-10-23 19:00:00,535.4599609375 -2015-10-23 20:00:00,535.5799560546875 -2015-10-23 21:00:00,535.6199951171875 -2015-10-23 22:00:00,535.6799926757812 -2015-10-23 23:00:00,535.7099609375 -2015-10-24 00:00:00,535.739990234375 -2015-10-24 01:00:00,535.8199462890625 -2015-10-24 02:00:00,535.8699951171875 -2015-10-24 03:00:00,535.9199829101562 -2015-10-24 04:00:00,535.949951171875 -2015-10-24 05:00:00,535.989990234375 -2015-10-24 06:00:00,536.0399780273438 -2015-10-24 07:00:00,536.1199951171875 -2015-10-24 08:00:00,536.1199951171875 -2015-10-24 09:00:00,536.1300048828125 -2015-10-24 10:00:00,536.1799926757812 -2015-10-24 11:00:00,536.1799926757812 -2015-10-24 12:00:00,536.1499633789062 -2015-10-24 13:00:00,536.1900024414062 -2015-10-24 14:00:00,536.199951171875 -2015-10-24 15:00:00,536.199951171875 -2015-10-24 16:00:00,536.22998046875 -2015-10-24 17:00:00,536.25 -2015-10-24 18:00:00,536.219970703125 -2015-10-24 19:00:00,536.2699584960938 -2015-10-24 20:00:00,536.2599487304688 -2015-10-24 21:00:00,536.2899780273438 -2015-10-24 22:00:00,536.2999877929688 -2015-10-24 23:00:00,536.2899780273438 -2015-10-25 00:00:00,536.2599487304688 -2015-10-25 01:00:00,536.2899780273438 -2015-10-25 02:00:00,536.2999877929688 -2015-10-25 03:00:00,536.3099975585938 -2015-10-25 04:00:00,536.2899780273438 -2015-10-25 05:00:00,536.3199462890625 -2015-10-25 06:00:00,536.3299560546875 -2015-10-25 07:00:00,536.3199462890625 -2015-10-25 08:00:00,536.3099975585938 -2015-10-25 09:00:00,536.2999877929688 -2015-10-25 10:00:00,536.3399658203125 -2015-10-25 11:00:00,536.3299560546875 -2015-10-25 12:00:00,536.3299560546875 -2015-10-25 13:00:00,536.3099975585938 -2015-10-25 14:00:00,536.3399658203125 -2015-10-25 15:00:00,536.3599853515625 -2015-10-25 16:00:00,536.3299560546875 -2015-10-25 17:00:00,536.3299560546875 -2015-10-25 18:00:00,536.3399658203125 -2015-10-25 19:00:00,536.3199462890625 -2015-10-25 20:00:00,536.3399658203125 -2015-10-25 21:00:00,536.3699951171875 -2015-10-25 22:00:00,536.3199462890625 -2015-10-25 23:00:00,536.3499755859375 -2015-10-26 00:00:00,536.3399658203125 -2015-10-26 01:00:00,536.3499755859375 -2015-10-26 02:00:00,536.3399658203125 -2015-10-26 03:00:00,536.3599853515625 -2015-10-26 04:00:00,536.3199462890625 -2015-10-26 05:00:00,536.3499755859375 -2015-10-26 06:00:00,536.3299560546875 -2015-10-26 07:00:00,536.3699951171875 -2015-10-26 08:00:00,536.3399658203125 -2015-10-26 09:00:00,536.3199462890625 -2015-10-26 10:00:00,536.3299560546875 -2015-10-26 11:00:00,536.3299560546875 -2015-10-26 12:00:00,536.3299560546875 -2015-10-26 13:00:00,536.3199462890625 -2015-10-26 14:00:00,536.3399658203125 -2015-10-26 15:00:00,536.2999877929688 -2015-10-26 16:00:00,536.3099975585938 -2015-10-26 17:00:00,536.3399658203125 -2015-10-26 18:00:00,536.3499755859375 -2015-10-26 19:00:00,536.3399658203125 -2015-10-26 20:00:00,536.3399658203125 -2015-10-26 21:00:00,536.3499755859375 -2015-10-26 22:00:00,536.3899536132812 -2015-10-26 23:00:00,536.4199829101562 -2015-10-27 00:00:00,536.3899536132812 -2015-10-27 01:00:00,536.3800048828125 -2015-10-27 02:00:00,536.3599853515625 -2015-10-27 03:00:00,536.3699951171875 -2015-10-27 04:00:00,536.3800048828125 -2015-10-27 05:00:00,536.3599853515625 -2015-10-27 06:00:00,536.3399658203125 -2015-10-27 07:00:00,536.3499755859375 -2015-10-27 08:00:00,536.3599853515625 -2015-10-27 09:00:00,536.3399658203125 -2015-10-27 10:00:00,536.3399658203125 -2015-10-27 11:00:00,536.3499755859375 -2015-10-27 12:00:00,536.3399658203125 -2015-10-27 13:00:00,536.2999877929688 -2015-10-27 14:00:00,536.3399658203125 -2015-10-27 15:00:00,536.3699951171875 -2015-10-27 16:00:00,536.3599853515625 -2015-10-27 17:00:00,536.3199462890625 -2015-10-27 18:00:00,536.3800048828125 -2015-10-27 19:00:00,536.3999633789062 -2015-10-27 20:00:00,536.3699951171875 -2015-10-27 21:00:00,536.3599853515625 -2015-10-27 22:00:00,536.3899536132812 -2015-10-27 23:00:00,536.3999633789062 -2015-10-28 00:00:00,536.3899536132812 -2015-10-28 01:00:00,536.3899536132812 -2015-10-28 02:00:00,536.3299560546875 -2015-10-28 03:00:00,536.3699951171875 -2015-10-28 04:00:00,536.3399658203125 -2015-10-28 05:00:00,536.2999877929688 -2015-10-28 06:00:00,536.2899780273438 -2015-10-28 07:00:00,536.3299560546875 -2015-10-28 08:00:00,536.3199462890625 -2015-10-28 09:00:00,536.3199462890625 -2015-10-28 10:00:00,536.3199462890625 -2015-10-28 11:00:00,536.2899780273438 -2015-10-28 12:00:00,536.2599487304688 -2015-10-28 13:00:00,536.2999877929688 -2015-10-28 14:00:00,536.2799682617188 -2015-10-28 15:00:00,536.2899780273438 -2015-10-28 16:00:00,536.2799682617188 -2015-10-28 17:00:00,536.2599487304688 -2015-10-28 18:00:00,536.2799682617188 -2015-10-28 19:00:00,536.2799682617188 -2015-10-28 20:00:00,536.2999877929688 -2015-10-28 21:00:00,536.2899780273438 -2015-10-28 22:00:00,536.2899780273438 -2015-10-28 23:00:00,536.3299560546875 -2015-10-29 00:00:00,536.3399658203125 -2015-10-29 01:00:00,536.3299560546875 -2015-10-29 02:00:00,536.3599853515625 -2015-10-29 03:00:00,536.2899780273438 -2015-10-29 04:00:00,536.3499755859375 -2015-10-29 05:00:00,536.3499755859375 -2015-10-29 06:00:00,536.3399658203125 -2015-10-29 07:00:00,536.3499755859375 -2015-10-29 08:00:00,536.3299560546875 -2015-10-29 09:00:00,536.2899780273438 -2015-10-29 10:00:00,536.2799682617188 -2015-10-29 11:00:00,536.2599487304688 -2015-10-29 12:00:00,536.2599487304688 -2015-10-29 13:00:00,536.2999877929688 -2015-10-29 14:00:00,536.25 -2015-10-29 15:00:00,536.2599487304688 -2015-10-29 16:00:00,536.2699584960938 -2015-10-29 17:00:00,536.22998046875 -2015-10-29 18:00:00,536.239990234375 -2015-10-29 19:00:00,536.2999877929688 -2015-10-29 20:00:00,536.3099975585938 -2015-10-29 21:00:00,536.3099975585938 -2015-10-29 22:00:00,536.3099975585938 -2015-10-29 23:00:00,536.3099975585938 -2015-10-30 00:00:00,536.2799682617188 -2015-10-30 01:00:00,536.2999877929688 -2015-10-30 02:00:00,536.2899780273438 -2015-10-30 03:00:00,536.2899780273438 -2015-10-30 04:00:00,536.25 -2015-10-30 05:00:00,536.25 -2015-10-30 06:00:00,536.219970703125 -2015-10-30 07:00:00,536.2099609375 -2015-10-30 08:00:00,536.22998046875 -2015-10-30 09:00:00,536.239990234375 -2015-10-30 10:00:00,536.25 -2015-10-30 11:00:00,536.2599487304688 -2015-10-30 12:00:00,536.239990234375 -2015-10-30 13:00:00,536.2799682617188 -2015-10-30 14:00:00,536.2699584960938 -2015-10-30 15:00:00,536.219970703125 -2015-10-30 16:00:00,536.2699584960938 -2015-10-30 17:00:00,536.2899780273438 -2015-10-30 18:00:00,536.2899780273438 -2015-10-30 19:00:00,536.3199462890625 -2015-10-30 20:00:00,536.4299926757812 -2015-10-30 21:00:00,536.5599975585938 -2015-10-30 22:00:00,536.5799560546875 -2015-10-30 23:00:00,536.6799926757812 -2015-10-31 00:00:00,536.72998046875 -2015-10-31 01:00:00,536.7899780273438 -2015-10-31 02:00:00,536.8499755859375 -2015-10-31 03:00:00,536.9599609375 -2015-10-31 04:00:00,537.0199584960938 -2015-10-31 05:00:00,537.1300048828125 -2015-10-31 06:00:00,537.199951171875 -2015-10-31 07:00:00,537.199951171875 -2015-10-31 08:00:00,537.2799682617188 -2015-10-31 09:00:00,537.3399658203125 -2015-10-31 10:00:00,537.3599853515625 -2015-10-31 11:00:00,537.449951171875 -2015-10-31 12:00:00,537.449951171875 -2015-10-31 13:00:00,537.489990234375 -2015-10-31 14:00:00,537.5299682617188 -2015-10-31 15:00:00,537.5599975585938 -2015-10-31 16:00:00,537.5799560546875 -2015-10-31 17:00:00,537.5999755859375 -2015-10-31 18:00:00,537.6099853515625 -2015-10-31 19:00:00,537.6399536132812 -2015-10-31 20:00:00,537.6599731445312 -2015-10-31 21:00:00,537.699951171875 -2015-10-31 22:00:00,537.719970703125 -2015-10-31 23:00:00,537.7799682617188 -2015-11-01 00:00:00,537.7999877929688 -2015-11-01 01:00:00,537.8699951171875 -2015-11-01 02:00:00,537.8499755859375 -2015-11-01 03:00:00,537.8399658203125 -2015-11-01 04:00:00,537.8899536132812 -2015-11-01 05:00:00,537.8999633789062 -2015-11-01 06:00:00,537.8800048828125 -2015-11-01 07:00:00,537.9199829101562 -2015-11-01 08:00:00,537.9099731445312 -2015-11-01 09:00:00,537.9400024414062 -2015-11-01 10:00:00,537.97998046875 -2015-11-01 11:00:00,537.9400024414062 -2015-11-01 12:00:00,537.8999633789062 -2015-11-01 13:00:00,537.949951171875 -2015-11-01 14:00:00,537.97998046875 -2015-11-01 15:00:00,538.0399780273438 -2015-11-01 16:00:00,538.0521240234375 -2015-11-01 17:00:00,538.0606689453125 -2015-11-01 18:00:00,538.0692749023438 -2015-11-01 19:00:00,538.0778198242188 -2015-11-01 20:00:00,538.0699462890625 -2015-11-01 21:00:00,538.0899658203125 -2015-11-01 22:00:00,538.0999755859375 -2015-11-01 23:00:00,538.0999755859375 -2015-11-02 00:00:00,538.1013793945312 -2015-11-02 01:00:00,538.1071166992188 -2015-11-02 02:00:00,538.11279296875 -2015-11-02 03:00:00,538.1185913085938 -2015-11-02 04:00:00,538.1300048828125 -2015-11-02 05:00:00,538.1300048828125 -2015-11-02 06:00:00,538.1300048828125 -2015-11-02 07:00:00,538.1300048828125 -2015-11-02 08:00:00,538.1199951171875 -2015-11-02 09:00:00,538.0499877929688 -2015-11-02 10:00:00,538.1399536132812 -2015-11-02 11:00:00,538.1099853515625 -2015-11-02 12:00:00,538.1199951171875 -2015-11-02 13:00:00,538.0699462890625 -2015-11-02 14:00:00,538.0899658203125 -2015-11-02 15:00:00,538.0699462890625 -2015-11-02 16:00:00,538.0599975585938 -2015-11-02 17:00:00,538.0599975585938 -2015-11-02 18:00:00,538.0399780273438 -2015-11-02 19:00:00,538.0399780273438 -2015-11-02 20:00:00,538.0799560546875 -2015-11-02 21:00:00,538.0099487304688 -2015-11-02 22:00:00,538.0199584960938 -2015-11-02 23:00:00,538.0599975585938 -2015-11-03 00:00:00,537.97998046875 -2015-11-03 01:00:00,537.969970703125 -2015-11-03 02:00:00,537.97998046875 -2015-11-03 03:00:00,537.989990234375 -2015-11-03 04:00:00,537.949951171875 -2015-11-03 05:00:00,537.989990234375 -2015-11-03 06:00:00,537.9299926757812 -2015-11-03 07:00:00,537.9199829101562 -2015-11-03 08:00:00,537.8899536132812 -2015-11-03 09:00:00,537.8800048828125 -2015-11-03 10:00:00,537.8800048828125 -2015-11-03 11:00:00,537.8699951171875 -2015-11-03 12:00:00,537.8599853515625 -2015-11-03 13:00:00,537.8099975585938 -2015-11-03 14:00:00,537.8199462890625 -2015-11-03 15:00:00,537.8199462890625 -2015-11-03 16:00:00,537.8399658203125 -2015-11-03 17:00:00,537.7899780273438 -2015-11-03 18:00:00,537.8499755859375 -2015-11-03 19:00:00,537.8599853515625 -2015-11-03 20:00:00,537.8399658203125 -2015-11-03 21:00:00,537.8099975585938 -2015-11-03 22:00:00,537.739990234375 -2015-11-03 23:00:00,537.75 -2015-11-04 00:00:00,537.75 -2015-11-04 01:00:00,537.739990234375 -2015-11-04 02:00:00,537.7099609375 -2015-11-04 03:00:00,537.739990234375 -2015-11-04 04:00:00,537.7599487304688 -2015-11-04 05:00:00,537.75 -2015-11-04 06:00:00,537.72998046875 -2015-11-04 07:00:00,537.699951171875 -2015-11-04 08:00:00,537.6799926757812 -2015-11-04 09:00:00,537.6799926757812 -2015-11-04 10:00:00,537.6300048828125 -2015-11-04 11:00:00,537.6399536132812 -2015-11-04 12:00:00,537.6099853515625 -2015-11-04 13:00:00,537.5899658203125 -2015-11-04 14:00:00,537.6099853515625 -2015-11-04 15:00:00,537.5799560546875 -2015-11-04 16:00:00,537.5799560546875 -2015-11-04 17:00:00,537.5599975585938 -2015-11-04 18:00:00,537.5899658203125 -2015-11-04 19:00:00,537.5699462890625 -2015-11-04 20:00:00,537.5549926757812 -2015-11-04 21:00:00,537.5404663085938 -2015-11-04 22:00:00,537.5267333984375 -2015-11-04 23:00:00,537.5399780273438 -2015-11-05 00:00:00,537.5 -2015-11-05 01:00:00,537.5 -2015-11-05 02:00:00,537.5099487304688 -2015-11-05 03:00:00,537.489990234375 -2015-11-05 04:00:00,537.469970703125 -2015-11-05 05:00:00,537.449951171875 -2015-11-05 06:00:00,537.4400024414062 -2015-11-05 07:00:00,537.3800048828125 -2015-11-05 08:00:00,537.4400024414062 -2015-11-05 09:00:00,537.4299926757812 -2015-11-05 10:00:00,537.449951171875 -2015-11-05 11:00:00,537.4099731445312 -2015-11-05 12:00:00,537.3499755859375 -2015-11-05 13:00:00,537.3800048828125 -2015-11-05 14:00:00,537.3199462890625 -2015-11-05 15:00:00,537.3599853515625 -2015-11-05 16:00:00,537.3299560546875 -2015-11-05 17:00:00,537.3199462890625 -2015-11-05 18:00:00,537.3499755859375 -2015-11-05 19:00:00,537.3299560546875 -2015-11-05 20:00:00,537.3299560546875 -2015-11-05 21:00:00,537.3399658203125 -2015-11-05 22:00:00,537.3399658203125 -2015-11-05 23:00:00,537.3299560546875 -2015-11-06 00:00:00,537.3299560546875 -2015-11-06 01:00:00,537.2999877929688 -2015-11-06 02:00:00,537.3299560546875 -2015-11-06 03:00:00,537.2899780273438 -2015-11-06 04:00:00,537.2899780273438 -2015-11-06 05:00:00,537.2899780273438 -2015-11-06 06:00:00,537.2699584960938 -2015-11-06 07:00:00,537.271484375 -2015-11-06 08:00:00,537.271484375 -2015-11-06 09:00:00,537.271484375 -2015-11-06 10:00:00,537.271484375 -2015-11-06 11:00:00,537.271484375 -2015-11-06 12:00:00,537.2720947265625 -2015-11-06 13:00:00,537.2730712890625 -2015-11-06 14:00:00,537.2741088867188 -2015-11-06 15:00:00,537.275146484375 -2015-11-06 16:00:00,537.2761840820312 -2015-11-06 17:00:00,537.2772216796875 -2015-11-06 18:00:00,537.2779541015625 -2015-11-06 19:00:00,537.2786254882812 -2015-11-06 20:00:00,537.279296875 -2015-11-06 21:00:00,537.280029296875 -2015-11-06 22:00:00,537.2741088867188 -2015-11-06 23:00:00,537.2640991210938 -2015-11-07 00:00:00,537.2540893554688 -2015-11-07 01:00:00,537.2439575195312 -2015-11-07 02:00:00,537.2338256835938 -2015-11-07 03:00:00,537.2236938476562 -2015-11-07 04:00:00,537.2135620117188 -2015-11-07 05:00:00,537.2034912109375 -2015-11-07 06:00:00,537.193359375 -2015-11-07 07:00:00,537.1853637695312 -2015-11-07 08:00:00,537.1779174804688 -2015-11-07 09:00:00,537.1704711914062 -2015-11-07 10:00:00,537.1630249023438 -2015-11-07 11:00:00,537.1555786132812 -2015-11-07 12:00:00,537.1481323242188 -2015-11-07 13:00:00,537.1406860351562 -2015-11-07 14:00:00,537.1343994140625 -2015-11-07 15:00:00,537.1284790039062 -2015-11-07 16:00:00,537.1226196289062 -2015-11-07 17:00:00,537.1167602539062 -2015-11-07 18:00:00,537.11083984375 -2015-11-07 19:00:00,537.10498046875 -2015-11-07 20:00:00,537.0990600585938 -2015-11-07 21:00:00,537.0932006835938 -2015-11-07 22:00:00,537.0860595703125 -2015-11-07 23:00:00,537.07568359375 -2015-11-08 00:00:00,537.0653686523438 -2015-11-08 01:00:00,537.0550537109375 -2015-11-08 02:00:00,537.0447387695312 -2015-11-08 03:00:00,537.034423828125 -2015-11-08 04:00:00,537.0240478515625 -2015-11-08 05:00:00,537.0137329101562 -2015-11-08 06:00:00,537.00341796875 -2015-11-08 07:00:00,536.9931030273438 -2015-11-08 08:00:00,536.9828491210938 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18:00:00,Grapevine_Lake_RP,536.219970703125 +1,2015-10-24 19:00:00,Grapevine_Lake_RP,536.2699584960938 +1,2015-10-24 20:00:00,Grapevine_Lake_RP,536.2599487304688 +1,2015-10-24 21:00:00,Grapevine_Lake_RP,536.2899780273438 +1,2015-10-24 22:00:00,Grapevine_Lake_RP,536.2999877929688 +1,2015-10-24 23:00:00,Grapevine_Lake_RP,536.2899780273438 +1,2015-10-25 00:00:00,Grapevine_Lake_RP,536.2599487304688 +1,2015-10-25 01:00:00,Grapevine_Lake_RP,536.2899780273438 +1,2015-10-25 02:00:00,Grapevine_Lake_RP,536.2999877929688 +1,2015-10-25 03:00:00,Grapevine_Lake_RP,536.3099975585938 +1,2015-10-25 04:00:00,Grapevine_Lake_RP,536.2899780273438 +1,2015-10-25 05:00:00,Grapevine_Lake_RP,536.3199462890625 +1,2015-10-25 06:00:00,Grapevine_Lake_RP,536.3299560546875 +1,2015-10-25 07:00:00,Grapevine_Lake_RP,536.3199462890625 +1,2015-10-25 08:00:00,Grapevine_Lake_RP,536.3099975585938 +1,2015-10-25 09:00:00,Grapevine_Lake_RP,536.2999877929688 +1,2015-10-25 10:00:00,Grapevine_Lake_RP,536.3399658203125 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03:00:00,Grapevine_Lake_RP,536.3599853515625 +1,2015-10-26 04:00:00,Grapevine_Lake_RP,536.3199462890625 +1,2015-10-26 05:00:00,Grapevine_Lake_RP,536.3499755859375 +1,2015-10-26 06:00:00,Grapevine_Lake_RP,536.3299560546875 +1,2015-10-26 07:00:00,Grapevine_Lake_RP,536.3699951171875 +1,2015-10-26 08:00:00,Grapevine_Lake_RP,536.3399658203125 +1,2015-10-26 09:00:00,Grapevine_Lake_RP,536.3199462890625 +1,2015-10-26 10:00:00,Grapevine_Lake_RP,536.3299560546875 +1,2015-10-26 11:00:00,Grapevine_Lake_RP,536.3299560546875 +1,2015-10-26 12:00:00,Grapevine_Lake_RP,536.3299560546875 +1,2015-10-26 13:00:00,Grapevine_Lake_RP,536.3199462890625 +1,2015-10-26 14:00:00,Grapevine_Lake_RP,536.3399658203125 +1,2015-10-26 15:00:00,Grapevine_Lake_RP,536.2999877929688 +1,2015-10-26 16:00:00,Grapevine_Lake_RP,536.3099975585938 +1,2015-10-26 17:00:00,Grapevine_Lake_RP,536.3399658203125 +1,2015-10-26 18:00:00,Grapevine_Lake_RP,536.3499755859375 +1,2015-10-26 19:00:00,Grapevine_Lake_RP,536.3399658203125 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12:00:00,Grapevine_Lake_RP,536.3399658203125 +1,2015-10-27 13:00:00,Grapevine_Lake_RP,536.2999877929688 +1,2015-10-27 14:00:00,Grapevine_Lake_RP,536.3399658203125 +1,2015-10-27 15:00:00,Grapevine_Lake_RP,536.3699951171875 +1,2015-10-27 16:00:00,Grapevine_Lake_RP,536.3599853515625 +1,2015-10-27 17:00:00,Grapevine_Lake_RP,536.3199462890625 +1,2015-10-27 18:00:00,Grapevine_Lake_RP,536.3800048828125 +1,2015-10-27 19:00:00,Grapevine_Lake_RP,536.3999633789062 +1,2015-10-27 20:00:00,Grapevine_Lake_RP,536.3699951171875 +1,2015-10-27 21:00:00,Grapevine_Lake_RP,536.3599853515625 +1,2015-10-27 22:00:00,Grapevine_Lake_RP,536.3899536132812 +1,2015-10-27 23:00:00,Grapevine_Lake_RP,536.3999633789062 +1,2015-10-28 00:00:00,Grapevine_Lake_RP,536.3899536132812 +1,2015-10-28 01:00:00,Grapevine_Lake_RP,536.3899536132812 +1,2015-10-28 02:00:00,Grapevine_Lake_RP,536.3299560546875 +1,2015-10-28 03:00:00,Grapevine_Lake_RP,536.3699951171875 +1,2015-10-28 04:00:00,Grapevine_Lake_RP,536.3399658203125 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12:00:00,Grapevine_Lake_RP,536.9417114257812 +1,2015-11-08 13:00:00,Grapevine_Lake_RP,536.9314575195312 +1,2015-11-08 14:00:00,Grapevine_Lake_RP,536.921142578125 +1,2015-11-08 15:00:00,Grapevine_Lake_RP,536.910888671875 +1,2015-11-08 16:00:00,Grapevine_Lake_RP,536.900634765625 +1,2015-11-08 17:00:00,Grapevine_Lake_RP,536.8903198242188 +1,2015-11-08 18:00:00,Grapevine_Lake_RP,536.8800659179688 +1,2015-11-08 19:00:00,Grapevine_Lake_RP,536.8692626953125 +1,2015-11-08 20:00:00,Grapevine_Lake_RP,536.8583984375 +1,2015-11-08 21:00:00,Grapevine_Lake_RP,536.8475341796875 +1,2015-11-08 22:00:00,Grapevine_Lake_RP,536.836669921875 +1,2015-11-08 23:00:00,Grapevine_Lake_RP,536.8258056640625 +1,2015-11-09 00:00:00,Grapevine_Lake_RP,536.81494140625 +1,2015-11-09 01:00:00,Grapevine_Lake_RP,536.8040771484375 +1,2015-11-09 02:00:00,Grapevine_Lake_RP,536.793212890625 +1,2015-11-09 03:00:00,Grapevine_Lake_RP,536.7823486328125 +1,2015-11-09 04:00:00,Grapevine_Lake_RP,536.771484375 +1,2015-11-09 05:00:00,Grapevine_Lake_RP,536.7606201171875 +1,2015-11-09 06:00:00,Grapevine_Lake_RP,536.7468872070312 +1,2015-11-09 07:00:00,Grapevine_Lake_RP,536.7361450195312 +1,2015-11-09 08:00:00,Grapevine_Lake_RP,536.725341796875 +1,2015-11-09 09:00:00,Grapevine_Lake_RP,536.714599609375 +1,2015-11-09 10:00:00,Grapevine_Lake_RP,536.7037963867188 +1,2015-11-09 11:00:00,Grapevine_Lake_RP,536.6930541992188 +1,2015-11-09 12:00:00,Grapevine_Lake_RP,536.6822509765625 +1,2015-11-09 13:00:00,Grapevine_Lake_RP,536.6715087890625 +1,2015-11-09 14:00:00,Grapevine_Lake_RP,536.6607055664062 +1,2015-11-09 15:00:00,Grapevine_Lake_RP,536.6499633789062 +1,2015-11-09 16:00:00,Grapevine_Lake_RP,536.63916015625 +1,2015-11-09 17:00:00,Grapevine_Lake_RP,536.62841796875 +1,2015-11-09 18:00:00,Grapevine_Lake_RP,536.616455078125 +1,2015-11-09 19:00:00,Grapevine_Lake_RP,536.6041870117188 +1,2015-11-09 20:00:00,Grapevine_Lake_RP,536.5919189453125 +1,2015-11-09 21:00:00,Grapevine_Lake_RP,536.57958984375 +1,2015-11-09 22:00:00,Grapevine_Lake_RP,536.5673217773438 +1,2015-11-09 23:00:00,Grapevine_Lake_RP,536.5550537109375 +1,2015-11-10 00:00:00,Grapevine_Lake_RP,536.5427856445312 +1,2015-11-10 01:00:00,Grapevine_Lake_RP,536.530517578125 +1,2015-11-10 02:00:00,Grapevine_Lake_RP,536.5182495117188 +1,2015-11-10 03:00:00,Grapevine_Lake_RP,536.5057373046875 +1,2015-11-10 04:00:00,Grapevine_Lake_RP,536.4925537109375 +1,2015-11-10 05:00:00,Grapevine_Lake_RP,536.4794311523438 +1,2015-11-10 06:00:00,Grapevine_Lake_RP,536.4662475585938 +1,2015-11-10 07:00:00,Grapevine_Lake_RP,536.4530639648438 +1,2015-11-10 08:00:00,Grapevine_Lake_RP,536.4398803710938 +1,2015-11-10 09:00:00,Grapevine_Lake_RP,536.4267578125 +1,2015-11-10 10:00:00,Grapevine_Lake_RP,536.41357421875 +1,2015-11-10 11:00:00,Grapevine_Lake_RP,536.400390625 +1,2015-11-10 12:00:00,Grapevine_Lake_RP,536.3872680664062 +1,2015-11-10 13:00:00,Grapevine_Lake_RP,536.3740844726562 +1,2015-11-10 14:00:00,Grapevine_Lake_RP,536.3609008789062 +1,2015-11-10 15:00:00,Grapevine_Lake_RP,536.3477783203125 +1,2015-11-10 16:00:00,Grapevine_Lake_RP,536.334716796875 +1,2015-11-10 17:00:00,Grapevine_Lake_RP,536.3217163085938 +1,2015-11-10 18:00:00,Grapevine_Lake_RP,536.3087158203125 +1,2015-11-10 19:00:00,Grapevine_Lake_RP,536.2957153320312 +1,2015-11-10 20:00:00,Grapevine_Lake_RP,536.28271484375 +1,2015-11-10 21:00:00,Grapevine_Lake_RP,536.2697143554688 +1,2015-11-10 22:00:00,Grapevine_Lake_RP,536.2598876953125 +1,2015-11-10 23:00:00,Grapevine_Lake_RP,536.2496337890625 +1,2015-11-11 00:00:00,Grapevine_Lake_RP,536.2393188476562 +1,2015-11-11 01:00:00,Grapevine_Lake_RP,536.2290649414062 +1,2015-11-11 02:00:00,Grapevine_Lake_RP,536.21875 +1,2015-11-11 03:00:00,Grapevine_Lake_RP,536.20849609375 +1,2015-11-11 04:00:00,Grapevine_Lake_RP,536.1981811523438 +1,2015-11-11 05:00:00,Grapevine_Lake_RP,536.1879272460938 +1,2015-11-11 06:00:00,Grapevine_Lake_RP,536.1776123046875 +1,2015-11-11 07:00:00,Grapevine_Lake_RP,536.1672973632812 +1,2015-11-11 08:00:00,Grapevine_Lake_RP,536.1570434570312 +1,2015-11-11 09:00:00,Grapevine_Lake_RP,536.146728515625 +1,2015-11-11 10:00:00,Grapevine_Lake_RP,536.136474609375 +1,2015-11-11 11:00:00,Grapevine_Lake_RP,536.1261596679688 +1,2015-11-11 12:00:00,Grapevine_Lake_RP,536.1159057617188 +1,2015-11-11 13:00:00,Grapevine_Lake_RP,536.1055908203125 +1,2015-11-11 14:00:00,Grapevine_Lake_RP,536.0952758789062 +1,2015-11-11 15:00:00,Grapevine_Lake_RP,536.0850219726562 +1,2015-11-11 16:00:00,Grapevine_Lake_RP,536.07470703125 +1,2015-11-11 17:00:00,Grapevine_Lake_RP,536.064208984375 +1,2015-11-11 18:00:00,Grapevine_Lake_RP,536.0532836914062 +1,2015-11-11 19:00:00,Grapevine_Lake_RP,536.0423583984375 +1,2015-11-11 20:00:00,Grapevine_Lake_RP,536.0313720703125 +1,2015-11-11 21:00:00,Grapevine_Lake_RP,536.0204467773438 +1,2015-11-11 22:00:00,Grapevine_Lake_RP,536.009521484375 +1,2015-11-11 23:00:00,Grapevine_Lake_RP,535.9985961914062 +1,2015-11-12 00:00:00,Grapevine_Lake_RP,535.9876098632812 +1,2015-11-12 01:00:00,Grapevine_Lake_RP,535.9766845703125 From 5c9be9c38222c8d938f106a0c459d476748135ee Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 26 Nov 2024 15:17:34 +0000 Subject: [PATCH 23/25] renamed the col Date to time for consistency with other methods in library --- src/rashdf/plan.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/src/rashdf/plan.py b/src/rashdf/plan.py index c45be85..deff166 100644 --- a/src/rashdf/plan.py +++ b/src/rashdf/plan.py @@ -1164,17 +1164,19 @@ def observed_timeseries_input(self, vartype: str = "Flow") -> dict: else: ref_type = "refpt" df = pd.DataFrame(site_path[:]).map(convert_ras_hdf_value) + # rename Date to time + df = df.rename(columns={"Date": "time"}) # Ensure the Date index is unique - df = df.drop_duplicates(subset="Date") + df = df.drop_duplicates(subset="time") # Package into an 1D xarray DataArray values = df["Value"].values - times = df["Date"].values + times = df["time"].values da = xr.DataArray( values, name=vartype, - dims=["Date"], + dims=["time"], coords={ - "Date": times, + "time": times, }, attrs={ "hdf_path": f"{output_path}/{site}", @@ -1184,7 +1186,7 @@ def observed_timeseries_input(self, vartype: str = "Flow") -> dict: da = da.expand_dims({f"{ref_type}_id": [idx - 1]}) da = da.expand_dims({f"{ref_type}_name": [site_name]}) das[site_name] = da - das = xr.concat([das[site] for site in das.keys()], dim="Date") + das = xr.concat([das[site] for site in das.keys()], dim="time") return das def reference_points_timeseries_output(self) -> xr.Dataset: From 59b1a8fc0d420fb7e3cd16c5d4dc59ec2261dacb Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 26 Nov 2024 15:17:58 +0000 Subject: [PATCH 24/25] renamed the col Date to time for consistency with other methods in library --- tests/test_plan.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_plan.py b/tests/test_plan.py index a6146bf..26c24e0 100644 --- a/tests/test_plan.py +++ b/tests/test_plan.py @@ -625,7 +625,7 @@ def test_observed_timeseries_input_flow(): ds = phdf.observed_timeseries_input(vartype="Flow") df = ds.sel(refln_name="Denton-Justin_RL").to_dataframe().dropna().reset_index() valid_df = pd.read_csv(TEST_CSV / "Denton-Justin_RL_Flow.csv") - valid_df["Date"] = pd.to_datetime(valid_df["Date"]) + valid_df["time"] = pd.to_datetime(valid_df["time"]) assert_frame_equal(df, valid_df) @@ -636,7 +636,7 @@ def test_observed_timeseries_input_stage(): ds.sel(refpt_name="Grapevine_Lake_RP").to_dataframe().dropna().reset_index() ) valid_df = pd.read_csv(TEST_CSV / "Grapevine_Lake_RP_Stage.csv") - valid_df["Date"] = pd.to_datetime(valid_df["Date"]) + valid_df["time"] = pd.to_datetime(valid_df["time"]) assert_frame_equal(df, valid_df) From 508677680b91efc68ba6c11b71bd7df16dc15da1 Mon Sep 17 00:00:00 2001 From: zherbz Date: Tue, 26 Nov 2024 15:18:39 +0000 Subject: [PATCH 25/25] renamed the col Date to time for consistency with other methods in library --- tests/data/csv/Denton-Justin_RL_Flow.csv | 2 +- tests/data/csv/Grapevine_Lake_RP_Stage.csv | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/data/csv/Denton-Justin_RL_Flow.csv b/tests/data/csv/Denton-Justin_RL_Flow.csv index 7595d45..ad9c4a9 100644 --- a/tests/data/csv/Denton-Justin_RL_Flow.csv +++ b/tests/data/csv/Denton-Justin_RL_Flow.csv @@ -1,4 +1,4 @@ -refln_id,Date,refln_name,Flow +refln_id,time,refln_name,Flow 0,2015-10-22 23:45:00,Denton-Justin_RL,1.9600000381469727 0,2015-10-23 00:00:00,Denton-Justin_RL,1.9600000381469727 0,2015-10-23 00:15:00,Denton-Justin_RL,1.7999999523162842 diff --git a/tests/data/csv/Grapevine_Lake_RP_Stage.csv b/tests/data/csv/Grapevine_Lake_RP_Stage.csv index 0c170b6..6055194 100644 --- a/tests/data/csv/Grapevine_Lake_RP_Stage.csv +++ b/tests/data/csv/Grapevine_Lake_RP_Stage.csv @@ -1,4 +1,4 @@ -refpt_id,Date,refpt_name,Stage +refpt_id,time,refpt_name,Stage 1,2015-10-22 23:00:00,Grapevine_Lake_RP,534.6328735351562 1,2015-10-23 00:00:00,Grapevine_Lake_RP,534.6582641601562 1,2015-10-23 01:00:00,Grapevine_Lake_RP,534.7096557617188