Seaborn rotate x labels

Seaborn rotate xlabels

plt.figure(figsize=(10,5))
chart = sns.countplot(
    data=data[data['Year'] == 1980],
    x='Sport',
    palette='Set1'
)
chart.set_xticklabels(chart.get_xticklabels(), rotation=45)

Source: drawingfromdata.com

Seaborn rotate x labels

plt.figure(figsize=(15,8))

ax = sns.histplot(data=test, x='date')

ax.tick_params(axis='x', rotation=90)

Source: stackoverflow.com

Change xlabel rotate in seaborn

import pandas
import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pandas.DataFrame({"X-Axis": [np.random.randint(10) for i in range(10)], "YAxis": [i for i in range(10)]})
bar_plot = sns.barplot(x='X-Axis', y='Y-Axis', data=df)
plt.xticks(rotation=45)
plt.show()

Source: tutorialspoint.com

Seaborn angle lable

chart = data[data['Year'] == 1980]['Sport'].value_counts().plot(kind='bar')
chart.set_xticklabels(chart.get_xticklabels(), rotation=45, horizontalalignment='right')

Source: drawingfromdata.com

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Mean =[0,0] covariance = [[1,0],[0,100]] ds = np.random.multivariate_normal(mean,covariance,500) dframe = pd.DataFrame(ds, columns=['col1', 'col2']) fig = sns.kdeplot(dframe).get_figure() fig.savefig('kde1.png')
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