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

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()