Some useful Pandas utility functions.

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.

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 .

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

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Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Every release, along with the migration instructions, is documented on the Github Releases page.

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