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multiple categories on distplot

Fantastic Fly answered on March 10, 2020 Popularity 7/10 Helpfulness 3/10

answer multiple categories on distplot

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multiple categories on distplot

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import numpy as np
import pandas as pd
from sklearn.datasets import load_iris
import seaborn as sns

iris = load_iris()
iris = pd.DataFrame(data=np.c_[iris['data'], iris['target']],
                    columns=iris['feature_names'] + ['target'])

# Sort the dataframe by target
target_0 = iris.loc[iris['target'] == 0]
target_1 = iris.loc[iris['target'] == 1]
target_2 = iris.loc[iris['target'] == 2]

sns.distplot(target_0[['sepal length (cm)']], hist=False, rug=True)
sns.distplot(target_1[['sepal length (cm)']], hist=False, rug=True)
sns.distplot(target_2[['sepal length (cm)']], hist=False, rug=True)

sns.plt.show()

Popularity 7/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: categories python

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Contributed on Mar 10 2020

Fantastic Fly

0 Answers Avg Quality 2/10

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multiple categories on distploy

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ordered_days = tips.day.value_counts().index
g = sns.FacetGrid(tips, row="day", row_order=ordered_days,
                  height=1.7, aspect=4,)
g.map(sns.distplot, "total_bill", hist=False, rug=True);

Popularity 6/10 Helpfulness 1/10 Language whatever

Source: seaborn.pydata.org

Tags: categories whatever

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Contributed on Mar 10 2020

Fantastic Fly

0 Answers Avg Quality 2/10

multiple categories on distploy

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sns.pairplot(iris, hue="species", height=2.5);

Popularity 6/10 Helpfulness 1/10 Language python

Source: seaborn.pydata.org

Tags: categories python

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Contributed on Mar 10 2020

Fantastic Fly

0 Answers Avg Quality 2/10

multiple categories on distplot

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