Seaborn Boxplot
>>> import seaborn as sns
>>> sns.set_theme(style="whitegrid")
>>> ax = sns.boxplot(x=tips["total_bill"])
Lonely Lark
>>> import seaborn as sns
>>> sns.set_theme(style="whitegrid")
>>> ax = sns.boxplot(x=tips["total_bill"])
>>> import seaborn as sns; sns.set(style="ticks", color_codes=True)
>>> iris = sns.load_dataset("iris")
>>> g = sns.pairplot(iris)
# 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')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()