jblib-pandas

Author: Justin Bard

This module was written to minimize the need to write the pandas related functions I use often. These modules were stripped out of jblib to minimize the dependencies required to import jblib. I.E. Pandas

The source code can be viewed here: https://github.com/ANamelessDrake/jblib-pandas

More of my projects can be found here: http://justbard.com

INSTALL: python3 -m pip install jblibpandas

from jblibpandas import mean_deviation

    DESCRIPTION:
        This function takes a Pandas DataFrame column in and then returns a series of calculated mean deviations

    FUNCTION:
        mean_deviation(data, mean=None)

    EXAMPLE:
        data["MeanDeviation"] = pd.Series(mean_deviation(data['column']), index=data.index)

from jblibpandas import standard_deviation

    DESCRIPTION:
        This function takes a Pandas DataFrame column in and then returns the calculated standard deviation

    FUNCTION:
        standard_deviation(data, mean=None)

    EXAMPLE:
        standard_dev = standard_deviation(data['column'])