Data Viz
Wed Jul 05 2023 00:37:38 GMT+0000 (Coordinated Universal Time)
Saved by
@busthon
# importing the required library
import seaborn as sns
import matplotlib.pyplot as plt
# read a titanic.csv file
# from seaborn library
df = sns.load_dataset('titanic')
# who v/s fare barplot
sns.barplot(x = 'who',
y = 'fare',
hue = 'class',
data = df)
# Show the plot
plt.show()
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