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README.md
README.md
 
 
drop_rows_with_nan.md
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groupby_obj_to_dataframe.md
groupby_obj_to_dataframe.md
 
 
html_table_to_pandas_df.ipynb
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pandas_replace.md
pandas_replace.md
 
 
pandas_unnest_df.md
pandas_unnest_df.md
 
 
pd_01_dtypes.md
pd_01_dtypes.md
 
 
pd_02_function_apply.md
pd_02_function_apply.md
 
 
pd_03_groupby_count.md
pd_03_groupby_count.md
 
 
pd_04_groupby_describe.md
pd_04_groupby_describe.md
 
 
pd_05_apply_axis_rows.md
pd_05_apply_axis_rows.md
 
 
pd_06_sort.md
pd_06_sort.md
 
 
pd_07_describe.md
pd_07_describe.md
 
 
pd_08_rename_columns.md
pd_08_rename_columns.md
 
 
pd_09_month.md
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pd_10_csv_directory.md
pd_10_csv_directory.md
 
 
pd_11_add_column.md
pd_11_add_column.md
 
 
pd_12_impute_cols.md
pd_12_impute_cols.md
 
 
pd_binning.md
pd_binning.md
 
 
pd_datetime.md
pd_datetime.md
 
 
pd_scientific_notation.md
pd_scientific_notation.md
 
 
print_options.md
print_options.md
 
 
ravel_reshape.md
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README.md

tag: pandas print comma commas format

pd.options.display.float_format = '{:20,.0f}'.format

Pandas References

Pandas Tutorials

Basic

Ian London: https://github.com/IanLondon/pandas_tricks

Greg Reda has a an introduction to Pandas on his website:

  1. Intro to pandas data structures
  2. Working with DataFrames
  3. Using pandas with the MovieLens dataset

Chris Albon has good sub-sections on pandas:
http://chrisalbon.com/#Python

Intermediate

Tom Augspurger's seven-part blog series goes into more detail:

  1. Modern Pandas
  2. Method Chaining
  3. Indexes
  4. Fast Pandas
  5. Tidy Data
  6. Visualization
  7. Time Series