To control the height and width of the figure, we can rely on matplotlib.pyplot.figure(figsize=(WIDTH,HEIGHT)) as well.

In this example, we are going to change the size of the previous histogram example to 8 inches wide and 4 inches tall:

import seaborn as sns
import matplotlib.pyplot as plt
from scipy import stats

# Note: Codes related to data preparation are skipped for brevity
# Reset all previous theme settings to defaults
sns.set()

# Change the size to 8 inches wide and 4 inches tall
fig = plt.figure(figsize=(8,4))

# We are going to reuse current_bigmac that was generated earlier
# Plot the histogram
ax = sns.distplot(current_bigmac.dollar_price)
plt.show()

Here is the expected output from the preceding code:

Seaborn also comes with the seaborn.set_context() function to control the scale of plot elements. There are four preset contexts, paper, notebook, talk, and poster, which are in ascending order of size. By default, the Notebook style is chosen. This is an example of setting the context to poster:

# Reset all previous theme settings to defaults
sns.set()

# Set Seaborn context to poster
sns.set_context("poster")

# We are going to reuse current_bigmac that was generated earlier
# Plot the histogram
ax = sns.distplot(current_bigmac.dollar_price)
plt.show()

Here is the expected output from the preceding code: