PYTHON

histogram seaborn

import pandas as pd
import seaborn as sns

df = pd.read_csv("https://jbencook.s3.amazonaws.com/data/dummy-sales-large.csv")

# Plot the histogram
sns.histplot(df, x="revenue")

plot histogram in seaborn

sns.distplot(gapminder['lifeExp'], kde=False, color='red', bins=100)
plt.title('Life Expectancy', fontsize=18)
plt.xlabel('Life Exp (years)', fontsize=16)
plt.ylabel('Frequency', fontsize=16)

seaborn plot histogram for all columns

df.plot.hist(subplots=True, legend=True, layout=(1, 3))

histogram seaborn python

# Import necessary libraries
import numpy as np
import pandas as pd
import seaborn as sns
 
# Load dataset
tips = sns.load_dataset("tips")
 
# Plot histogram
sns.histplot(data = tips, x = "size", stat = "probability", discrete = True)