How to use seaborn colors with Matplotlib
• 1 minSeaborn is a Python data visualization library based on Matplotlib.
It will help you make cool-looking plots.
Seaborn's color scheme is often preferred to Matplotlib's default.
Using the simple method seaborn.set() to change the default Matplotlib theme to the seaborn one.
# For our example dataframe
import pandas as pd
# For our plot
import matplotlib.pyplot as plt
# We import seaborn
import seaborn as sns
# We change the theme here
sns.set()
# Generating sample data
df = pd.DataFrame({"col1":range(10)})
# Creating a canvas for our plots
fig, axes = plt.subplots(1,1, figsize=(12,6))
# We plot with a label parameter that will be in our legend.
axes.plot(df["col1"])
# We make our canvas tidy and clean
plt.tight_layout()
# We show the graph
plt.show()Now you can use Matplotlib with Seaborn theme and create amazing charts!
More on plots
If you want to know more about how to add labels, plot different types of plots, etc... check out the other articles I wrote on the topic, just here :
Matplotlib - The Python You Need
We gathered the only Python essentials that you will probably ever need.
