seaborn regplot
seaborn regplot
xxxxxxxxxximport pandas as pdimport seaborn as snsimport matplotlib.pyplot as plt# regplot sns.regplot(data=df, x="col1", y="col2",marker='+', order=2, # For polynomial x_jitter=0, x_estimator=np.mean, x_bins=4)# Alternative approach : lmplot, higher level customizationsns.lmplot(data=df, x="col1", y="col2", hue="col3", col="col4")# Residual plot : useful for evaluating the appropriateness / fit of a regression modelsns.residplot(data=df, y="col1", x = "col2", order=2)plt.show()Source: Grepper
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