Best way to display Seaborn/Matplotlib plots with a dark iPython Notebook profile

MatplotlibPythonData Visualization

To display a Seaborn/Matplolib plot with a dark background, we can use "dark" in set_style() method that gives an aesthetic style to the plots.

Steps

  • Set the figure size and adjust the padding between and around the subplots.

  • Use "dark" in set_style() method that sets the aesthetic style.

  • Create a Pandas dataframe with two columns.

  • Show point estimates and confidence intervals with bars, using bar plot() method.

  • Rotate xticks by 45 degrees.

  • 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"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

sns.set_style("dark")

df = pandas.DataFrame({"X-Axis": [np.random.randint(10) for i in range(10)], "Y-Axis": [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 03-Jun-2021 13:04:57
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