snapedautility.plot_corr

Module Contents

Functions

plot_corr(df, features=None, width=250, height=250)

Generates the pearson correlation plot for a list of numeric features in a given dataframe.
snapedautility.plot_corr.plot_corr(df, features=None, width=250, height=250)[source]

Generates the pearson correlation plot for a list of numeric features in a given dataframe.

Parameters

  • data (pandas.core.frame.DataFrame) – The input dataframe

  • features (list) – List of feature names as string len(features) >=2 None returns plot of all numeric features

  • width (int, default = 250) – The width of the plot. Default set to 250

  • height (int, default = 250) – The height of the plot. Default set to 250

Returns

An interactive altair correlation plot

Return type

altair plot

Examples

>>> from snapedautility.plot_corr import plot_corr
>>> df = penguins_data
>>> plot_corr(df, ["Culmen Length (mm)", "Culmen Depth (mm)", 'Species'])