pandas commonly used statistical methods (1)-describe, quantile quantile

import pandas as pd
data = pd.read_csv('../data/2016_happiness.csv')
data.head()
data.describe()
* 百分位数quantile()默认q参数=0.5 
#中位数
data.quantile(q=0.5)
#四分位数
data.quantile(q=0.25)

df_obj = pd.DataFrame(np.arange(15).reshape(5,3),columns=['A','B','C'])

df_obj['B'].quantile(0.25)

1st quantile position calculation pos = 1+(n-1)*0.25
2nd quantile position calculation pos = 1+(n-1)*0.5
3rd quantile position calculation pos = 1+(n- 1)*0.75

The 1, 4, 7, 10, and 13 quartiles for the 1, 2, and 3 quartiles are 4, 7, and 10, respectively.