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Plot multiple columns of Pandas DataFrame using Seaborn
To plot multiple columns of Pandas DataFrame using Seaborn, we can take the following steps −
Make a dataframe using Pandas.
Plot a bar using Seaborn's barplot() method.
Rotate the xticks label by 45 angle.
To display the figure, use show() method.
Example
import pandas
import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
plt.rcParams["figure.figsize"] = [7.00, 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()Output
Updated on 08-May-2021 09:45:03
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