pandas计算方差，平均值，分位数，中位数

导入数据

import pandas as pd
movie= pd.read_csv('movie.csv')
movie.head()

Rank	Title	Genre	Description	Director	...	Runtime (Minutes)	Rating	Votes	Revenue (Millions)	Metascore
0	1	Guardians of the Galaxy	Action,Adventure,Sci-Fi	A group of intergalactic criminals are forced ...	James Gunn	...	121	8.1	757074	333.13	76.0
1	2	Prometheus	Adventure,Mystery,Sci-Fi	Following clues to the origin of mankind, a te...	Ridley Scott	...	124	7.0	485820	126.46	65.0
2	3	Split	Horror,Thriller	Three girls are kidnapped by a man with a diag...	M. Night Shyamalan	...	117	7.3	157606	138.12	62.0
3	4	Sing	Animation,Comedy,Family	In a city of humanoid animals, a hustling thea...	Christophe Lourdelet	...	108	7.2	60545	270.32	59.0
4	5	Suicide Squad	Action,Adventure,Fantasy	A secret government agency recruits some of th...	David Ayer	...	123	6.2	393727	325.02	40.0

5 rows × 12 columns

Rating的中位分位数 

# Rating的中位分位数
rating=movie.Rating
rating.quantile()
#6.8

分位数计算,百分之99.5的.

#分位数计算,百分之99.5的。
rating.quantile(0.995)
#8.6

求最小值、最大值、平均值、中位数、标准差、总和

rating.min()
#1.9

rating.max()
#9.0

rating.mean()
#6.723200000000003

rating.median()
#6.8

rating.std()
#0.9454287892779637

rating.sum()
#6723.2

打印描述信息

rating.describe()

count    1000.000000
mean        6.723200
std         0.945429
min         1.900000
25%         6.200000
50%         6.800000
75%         7.400000
max         9.000000
Name: Rating, dtype: float64

二分位数

rating.quantile(.2)
#6.0

各个十分之几分位数

rating.quantile([.1, .2, .3, .4, .5, .6, .7, .8, .9])

#显示结果
0.1    5.5
0.2    6.0
0.3    6.3
0.4    6.6
      ... 
0.6    7.0
0.7    7.3
0.8    7.5
0.9    7.9
Name: Rating, Length: 9, dtype: float64