watex.utils.plot_mlxtend_heatmap#

watex.utils.plot_mlxtend_heatmap(df, columns=None, savefig=None, **kws)[source]#

Plot correlation matrix array as a heat map

Parameters:

df – dataframe pandas
columns – list of features, If given, only the dataframe with that features is considered.
kws – additional keyword arguments passed to mlxtend.plotting.heatmap()

Returns:

mlxtend.plotting.heatmap() axes object

Example:

>>> from watex.datasets import load_hlogs
>>> from watex.utils.plotutils import plot_mlxtend_heatmap
>>> h=load_hlogs()
>>> features = ['gamma_gamma', 'sp',
            'natural_gamma', 'resistivity']
>>> plot_mlxtend_heatmap (h.frame , columns =features, cmap ='PuOr')