Explain how to Make a pair grid plot using seaborn?
This recipe explains how to Make a pair grid plot using seaborn
Recipe Objective
Make a pair grid plot using seaborn.
Pairgrid plot as we have discussed earlier the pair plot which is pairwise relationships in a dataset. Pairgrid plotting is about a Subplot grid for plotting pairwise relationships in a dataset. In this, the class maps each variable in the dataset onto a column and row in a grid of multiple axes. To draw bivariate plots in the upper and lower triangles different axes-level plotting functions can be used and the marginal distribution of each variable can be shown on the diagonal.
Step 1 - Import the necessary libraries
import seaborn as sns
import matplotlib.pyplot as plt
Step 2 - load the Dataset
tips_data = sns.load_dataset('tips')
tips_data.head()
Step 3 - Plot the graph
My_plot = sns.PairGrid(tips_data, hue='sex') ## Pairgrid with hue
My_plot = My_plot.map_diag(plt.hist) ## Type of graph for diagonal
My_plot = My_plot.map_offdiag(plt.scatter) ##Type of graph for non-diagonal
My_plot = My_plot.add_legend() ##Add the legend
plt.show() ##plot the graph
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