PYTHON

seaborn boxplot

>>> import seaborn as sns
>>> sns.set_theme(style="whitegrid")
>>> ax = sns.boxplot(x=tips["total_bill"])

box plot seaborn python

import seaborn
 
 
seaborn.set(style='whitegrid')
tip = seaborn.load_dataset('tips')
 
seaborn.boxplot(x='day', y='tip', data=tip)

boxplot show values seaborn

# Show the median value in a boxplot for seaborn sns

box_plot = sns.boxplot(x = df['ur_data'], y = df['ur_data2'])

medians = df.groupby(['ur_data'])['ur_data2'].median()
vertical_offset = df['ur_data2'].median() * 0.05

for xtick in box_plot.get_xticks():
    box_plot.text(xtick,medians[xtick] + vertical_offset,medians[xtick], 
            horizontalalignment='center',size='x-small',color='w',weight='semibold')

Box Plot in Seaborn

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

sns.boxplot(x="day", y="total_bill", data=tips,palette='rainbow') # box plot

sns.boxplot(x="day", y="total_bill", data=tips,palette='rainbow', orient='h') 
# box plot in horizontal mode

sns.boxplot(x="day", y="total_bill", hue="smoker",data=tips, palette="coolwarm") 
# box plot with simultabeous boxes for smoker categories

plt.show()