Seaborn boxplot multiple columns
The seaborn boxplot multiple columns is a visualization method that allows to compare several datasets at the same time. It can be used for box plots or to show the differences between two groups of data.
Boxplots are a simple and concise way to visualize data. They can be used to display how much a variable varies within a particular range or to draw any type of curve. In this tutorial we will learn more about seaborn boxplot multiple columns.
seaborn boxplot multiple for each column
on Jun 16, 2022
import numpy as np; np.random.seed(42)
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(data = np.random.random(size=(4,4)), columns = ['A','B','C','D'])
sns.boxplot(x="variable", y="value", data=pd.melt(df))
plt.show()0
seaborn boxplot multiple columns
on Jun 16, 2022
>>> ax = sns.boxplot(x="day", y="total_bill", hue="smoker",
... data=tips, palette="Set3")0
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