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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
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