Plotting distributions on the same graph
# libraries & dataset
import seaborn as sns
import matplotlib.pyplot as plt
# set a grey background (use sns.set_theme() if seaborn version 0.11.0 or above)
sns.set(style="darkgrid")
df = sns.load_dataset("iris")
sns.histplot(data=df, x="sepal_length", color="skyblue", label="Sepal Length", kde=True)
sns.histplot(data=df, x="sepal_width", color="red", label="Sepal Width", kde=True)
plt.legend()
plt.show()
Splitting the figure in as much axes as needed
# libraries & dataset
import seaborn as sns
import matplotlib.pyplot as plt
# set a grey background (use sns.set_theme() if seaborn version 0.11.0 or above)
sns.set(style="darkgrid")
df = sns.load_dataset("iris")
fig, axs = plt.subplots(2, 2, figsize=(7, 7))
sns.histplot(data=df, x="sepal_length", kde=True, color="skyblue", ax=axs[0, 0])
sns.histplot(data=df, x="sepal_width", kde=True, color="olive", ax=axs[0, 1])
sns.histplot(data=df, x="petal_length", kde=True, color="gold", ax=axs[1, 0])
sns.histplot(data=df, x="petal_width", kde=True, color="teal", ax=axs[1, 1])
plt.show()
