watex.view.ExPlot.plotjoint#

ExPlot.plotjoint(xname, yname=None, corr='pearson', kind='scatter', pkg='sns', yb_kws=None, **kws)[source]#

fancier scatterplot that includes histogram on the edge as well as a regression line called a joinplot

Parameters

  • xname (vectors or keys in data) – Variables that specify positions on the x and y axes. Both are the column names to consider. Shoud be items in the dataframe columns. Raise an error if elements do not exist.

  • yname (vectors or keys in data) – Variables that specify positions on the x and y axes. Both are the column names to consider. Shoud be items in the dataframe columns. Raise an error if elements do not exist.

  • pkg (str, Optional,) – kind or library to use for visualization. can be [‘sns’|’yb’] for ‘seaborn’ or ‘yellowbrick’. default is sns.

  • kind (str in {'scatter', 'hex'}, default: 'scatter') – The type of plot to render in the joint axes. Note that when kind=’hex’ the target cannot be plotted by color.

  • corr (str, default: 'pearson') – The algorithm used to compute the relationship between the variables in the joint plot, one of: ‘pearson’, ‘covariance’, ‘spearman’, ‘kendalltau’.

  • yb_kws (dict,) – Additional keywords arguments from yellowbrick.JointPlotVisualizer

  • kws (dict,) – Other keyword arguments are passed down to seaborn.joinplot .

Returns

``self``

Return type

ExPlot instance and returns self for easy method chaining.

Notes

When using the yellowbrick library and array i.e a (x, y) variables in the columns as well as the target arrays must not contain infs or NaNs values. A value error raises if that is the case.