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sns histplot change legend labels

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Real Raccoon answered on November 2, 2021 Popularity 8/10 Helpfulness 1/10

answer sns histplot change legend labels

related seaborn histplot modify legend

sns histplot change legend labels

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-1

import seaborn as sns

# load the tips dataset
tips = sns.load_dataset("tips")
# plot
g = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips, markers=["o", "x"], facet_kws={'legend_out': True})
# title
new_title = 'My title'
g._legend.set_title(new_title)
# replace labels
new_labels = ['label 1', 'label 2']
for t, l in zip(g._legend.texts, new_labels):
    t.set_text(l)

Popularity 8/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: legend python

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Contributed on Nov 02 2021

Real Raccoon

0 Answers Avg Quality 2/10

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seaborn histplot modify legend

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import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns

df_dn = pd.DataFrame({'ktau': np.random.randn(4000).cumsum(),
                      'statind': np.repeat([*'abcd'], 1000)})

fig, ax1 = plt.subplots()
sp1 = sns.histplot(df_dn, x="ktau", hue="statind", hue_order=['a', 'b', 'c', 'd'],
                   element="step", stat="density", common_norm=True, fill=False, ax=ax1)
ax1.set_title(r'$d_n$')
ax1.set_xlabel(r'max($F_{a,max}$)')
ax1.set_ylabel(r'$\tau_{ken}$')
legend = ax1.get_legend()
handles = legend.legendHandles
legend.remove()
ax1.legend(handles, ['dep-', 'ind-', 'ind+', 'dep+'], title='Stat.ind.')
plt.show()

Popularity 7/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: seaborn python legend sea

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Contributed on Apr 22 2022

Real Raccoon

0 Answers Avg Quality 2/10

sns histplot change legend labels

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