See Seaborn

1.Matrix Plot

Matrix plot allow us to plot data as color encoded matrices. Most common among them is heatmap.

2.Swarm Plot

This plot falls under the category of categorical data plots.The swarmplot is similar to stripplot(), but the points are adjusted (only along the categorical axis) so that they don’t overlap. This gives a better representation of the distribution of values, although it does not scale as well to large numbers of observations (both in terms of the ability to show all the points and in terms of the computation needed to arrange them).

3. Regression Plot

Regression plots are very useful in machine learning projects. Basically these plots helps in creating regression line between two parameters.lmplot() function is used to create linear model plot between variable x=’total_bill’ and y=’tip’,hue=’sex’ is used to categorise plot on the basis of gender or sex.

4.Pair Plot

This function is used to plot bi variable multi pairwise distribution.Here it took iris dataframe and hue variable which on basis of species ,plot distribution separately on each subplot.

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