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Utilities for pandas.

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Utilities for pandas.

import pdutil
for subdf in pdutil.iter.sub_dfs_by_size(df, 2):
  print(subdf)

1   Installation

pip install pdutil

2   Basic Use

pdutil is divided into several sub-modules by functionality:

2.1   display

Functions related to displaying pandas DataFrames:

  • df_string - Returns a nicely formatted string for the given dataframe.
  • pandas_big_frame_setup - Sets pandas to display really big data frames.
  • df_to_html - Return a nicely formatted HTML code string for the given dataframe.

2.2   iter

Functions related to iterating over pandas dataframes:

  • sub_dfs_by_size - Get a generator yielding consecutive sub-dataframes of the given size.
  • sub_dfs_by_num - Get a generator yielding num consecutive sub-dataframes of the given df.

2.3   transform

  • x_y_by_col_lbl - Returns an X dataframe and a y series by the given column name.
  • or_by_masks - Returns a sub-dataframe by the logical or over the given masks.

2.4   serial

  • SerializationFormat - A mutli-singleton representing different serialization formats of dataframes.

3   Contributing

Package author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.

3.1   Installing for development

Clone:

git clone git@github.com:shaypal5/pdutil.git

Install in development mode:

cd pdutil
pip install -e .

3.2   Running the tests

To run the tests use:

pip install pytest pytest-cov coverage
cd pdutil
pytest

3.3   Adding documentation

The project is documented using the numpy docstring conventions, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings. When documenting code you add to this project, follow these conventions.

4   Credits

Created by Shay Palachy (shay.palachy@gmail.com).

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