1.2.1 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.

1.2.2 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.

1.2.3 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.

1.2.4 serial

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

1.3.1 Installing for development

Clone:

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

Install in development mode:

cd pdutil
pip install -e .

1.3.2 Running the tests

To run the tests use:

pip install pytest pytest-cov coverage
cd pdutil
pytest

1.3.3 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.