watex.utils.plot_mlxtend_matrix#

watex.utils.plot_mlxtend_matrix(df, columns=None, fig_size=(10, 8), alpha=0.5, savefig=None)[source]#

Visualize the pair wise correlation between the different features in the dataset in one place.

Parameters:

  • df – dataframe pandas

  • columns – list of features, If given, only the dataframe with that features is considered.

  • fig_size – tuple of int (width, heigh) Size of the displayed figure

  • alpha – figure transparency, default is .5.

Returns:

mlxtend.plotting.scatterplotmatrix() axes object

Example:

>>> from watex.datasets import load_hlogs
>>> from watex.utils.plotutils import plot_mlxtend_matrix
>>> import pandas as pd
>>> import numpy as np
>>> h=load_hlogs()
>>> features = ['gamma_gamma', 'natural_gamma', 'resistivity']
>>> data = pd.DataFrame ( np.log10 (h.frame[features]), columns =features )
>>> plot_mlxtend_matrix (data, columns =features)