GitLocker: The Coding Marketplace

Description:

pandasutility 0.1.4

Pandas Utility

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.