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README.md
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drop_rows_with_nan.md
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html_table_to_pandas_df.ipynb
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pandas_replace.md
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pandas_unnest_df.md
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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
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pd_07_describe.md
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pd_08_rename_columns.md
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pd_09_month.md
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pd_10_csv_directory.md
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pd_11_add_column.md
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pd_12_impute_cols.md
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pd_binning.md
pd_binning.md
 
 
pd_datetime.md
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pd_scientific_notation.md
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print_options.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