Seaborn example

This example demonstrates a Seaborn plot. Figures produced Matplotlib and by any package that is based on Matplotlib (e.g., Seaborn), will be captured by default. See Image scrapers for details.

plot 2 seaborn
# Author: Michael Waskom & Lucy Liu
# License: BSD 3 clause

from __future__ import division, absolute_import, print_function


import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# Enforce the use of default set style

# Create a noisy periodic dataset
y_array = np.array([])
x_array = np.array([])
rs = np.random.RandomState(8)
for _ in range(15):
    x = np.linspace(0, 30 / 2, 30)
    y = np.sin(x) + rs.normal(0, 1.5) + rs.normal(0, .3, 30)
    y_array = np.append(y_array, y)
    x_array = np.append(x_array, x)

# Plot the average over replicates with confidence interval
sns.lineplot(y=y_array, x=x_array)
# to avoid text output
plt.show()

Total running time of the script: ( 0 minutes 1.605 seconds)

Estimated memory usage: 58 MB

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