Adding the right set of color with your data visualization makes it more impressive and readable, seaborn color palettes make it easy to use colors with your visualization. In this article, we will see how to color boxplot with seaborn color palettes also learn the uses of seaborn color palettes and it can be applied to other plots as well.
Step-by-step Approach:
Step 1: Load the python packages and libraries required to color a boxplot.
Python3
# import librariesimport seaborn as sns import matplotlib.pyplot as plt |
Step 2: Load the dataset to generate a boxplot.
Python3
# loading datasetds = sns.load_dataset('iris') |
Step 3: Generate a boxplot using the boxplot() method.
Python3
# create boxplot objectax = sns.boxplot(data=tips, orient="h") |
Step 4: Seaborn boxplot() function has palette argument, in this example we have set palette=”Set1″, it uses a qualitative color paletter Set3 to color the boxes in boxpolot. So add palette parameter in boxplot method.
Python3
# use palette methodax = sns.boxplot(data=ds, orient="h", palette="Set1") |
Below is the complete program based on the above approach:
Python3
# import librariesimport seaborn as snsimport matplotlib.pyplot as plt# load datasetds = sns.load_dataset("tips")plt.figure(figsize=(8, 6))# use palette methodax = sns.boxplot(data=ds, orient="h", palette="Set1") |
Output:
Coloring Boxplots with Seaborn Palettes
