Используйте функцию pandas 'describe()
, в конце концов, в сочетании с groupby()
. Например:
tips = sns.load_dataset("tips")
x_val = "day"
y_val = "total_bill"
hue_val = "time"
ax = sns.boxplot(x=x_val, y=y_val, hue=hue_val, data=tips)
![enter image description here](https://i.stack.imgur.com/qoB9I.png)
tips.groupby([x_val,hue_val])[y_val].describe()
выход:
count mean std min 25% 50% 75% \
day time
Thur Lunch 61.0 17.664754 7.950334 7.51 12.4300 16.000 20.2700
Dinner 1.0 18.780000 NaN 18.78 18.7800 18.780 18.7800
Fri Lunch 7.0 12.845714 2.842228 8.58 11.1250 13.420 14.7000
Dinner 12.0 19.663333 9.471753 5.75 12.3525 18.665 23.8825
Sat Dinner 87.0 20.441379 9.480419 3.07 13.9050 18.240 24.7400
Sun Dinner 76.0 21.410000 8.832122 7.25 14.9875 19.630 25.5975
max
day time
Thur Lunch 43.11
Dinner 18.78
Fri Lunch 16.27
Dinner 40.17
Sat Dinner 50.81
Sun Dinner 48.17