pandas.describe 输出参数解释

import pandas as pd
import numpy as np

dates=pd.date_range('20081001',periods=7)
df=pd.DataFrame(np.random.randn(7,4),index=dates,columns=list('ABCD'))
print("index is:")
print(df.index)
print("column is:")
print(df.columns)
print("value is:")
print(df.values)
print("-"*32)
print(df.describe())

D:\Programs\Python\Python36\python.exe D:/aaa/pandasdemo/pandas2.py

index is:

DatetimeIndex(['2008-10-01', '2008-10-02', '2008-10-03', '2008-10-04',

'2008-10-05', '2008-10-06', '2008-10-07'],

dtype='datetime64[ns]', freq='D')

column is:

Index(['A', 'B', 'C', 'D'], dtype='object')

value is:

[[ 0.63424428 1.10095283 -0.66181727 -0.65113561]

[-0.87622164 1.24320172 -2.20035782 0.50736403]

[ 2.52492648 0.16699796 0.35049536 -1.8868142 ]

[ 1.30422257 0.10991641 0.85137072 -1.40550629]

[-0.80097511 -0.1881843 -0.75235661 -0.89326946]

[-0.62392825 0.65573963 0.7682292 -1.15338121]

[-0.1981631 -0.36213939 -0.49770702 -1.39590736]]

--------------------------------

A B C D

count 7.000000 7.000000 7.000000 7.000000

mean 0.280586 0.389498 -0.306020 -0.982664

std 1.275754 0.623459 1.070486 0.767494

min -0.876222 -0.362139 -2.200358 -1.886814

25% -0.712452 -0.039134 -0.707087 -1.400707

50% -0.198163 0.166998 -0.497707 -1.153381

75% 0.969233 0.878346 0.559362 -0.772203

max 2.524926 1.243202 0.851371 0.507364

Process finished with exit code 0

​注释:​

对于数值数据，结果的索引将包括计数，平均值，标准差，最小值，最大值以及较低的百分位数和50。默认情况下，较低的百分位数为25，较高的百分位数为75.50百分位数与中位数相同。