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It is quite straight forward to turn your boxplot horizontal with seaborn.You can switch your x and y attributes, or use the option ‘orient=”h”‘ # library & dataset import seaborn as sns df = sns.load_dataset('iris') # Just switch x and y sns.boxplot( y=df["species"], x=df["sepal_length"] ) #sns.plt.show()
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We take example of the iris data set available in seaborn python library. In it we try to establish the correlation between the length and the width of the sepals and petals of three species of iris flower. Based on the correlation found, a strong model could be created which easily distinguishes one species from another.
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Seaborn pairplot example. A pairplot plot a pairwise relationships in a dataset. The pairplot function creates a grid of Axes such that each variable in data will by shared in the y-axis across a single row and in the x-axis across a single column.