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Some useful Pandas utility functions

Project description

Pandas Utility

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Some useful Pandas utility functions.

Installation

To install Pandas Utility, run this command in your terminal:

    pip install pandas_utility

This is the preferred method to install Pandas Utility, as it will always install the most recent stable release.

If you don't have pip installed, this Python installation guide can guide you through the process.

From sources

The sources for Pandas Utility can be downloaded from the Github repo.

You can either clone the public repository:

git clone git://github.com/mmphego/pandas_utility

Or download the tarball:

curl  -OL https://github.com/mmphego/pandas_utility/tarball/master

Once you have a copy of the source, you can install it with:

pip install -U .

Usage

In [1]: from pandas_utility import PandasUtilities as utils
   ...:
   ...: df = utils.create_random_df(3, 5)

In [2]: df
Out[2]:
          0         1         2         3         4
0  0.056019  0.608052  0.434670  0.712330  0.602797
1  0.050986  0.458700  0.899288  0.783495  0.683170
2  0.232940  0.707126  0.639882  0.675283  0.793030

In [3]: df = utils.rename_cols(df, new_names=['col A', 'col B', 'col C', 'col D', 'col E'])

In [4]: df
Out[4]:
      col_A     col_B     col_C     col_D     col_E
0  0.056019  0.608052  0.434670  0.712330  0.602797
1  0.050986  0.458700  0.899288  0.783495  0.683170
2  0.232940  0.707126  0.639882  0.675283  0.793030

Oh, Thanks!

By the way... Click if you'd like to saythanks... :) else Star it.

✨🍰✨

Feedback

Feel free to fork it or send me PR to improve it.

Credits

This package was created with Cookiecutter and the mmphego/cookiecutter-python-package project template.

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