marea rota x etiquetas
plt.figure(figsize=(15,8))
ax = sns.histplot(data=test, x='date')
ax.tick_params(axis='x', rotation=90)
Smoking Snake
plt.figure(figsize=(15,8))
ax = sns.histplot(data=test, x='date')
ax.tick_params(axis='x', rotation=90)
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)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()chart = data[data['Year'] == 1980]['Sport'].value_counts().plot(kind='bar')
chart.set_xticklabels(chart.get_xticklabels(), rotation=45, horizontalalignment='right')