Plot multiple columns of Pandas DataFrame using Seaborn

PandasMatplotlibServer Side ProgrammingProgramming

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

raja
Published on 08-May-2021 09:38:14
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