pandas 常用的数学统计方法 var()

                                              pandas 常用的数学统计方法 var()

1、定义:样本数值的方差。

2、示例:

import pandas as pd

student_info = pd.read_csv("F:/人工智能/科学计算库/files/student_info.csv")
print(student_info)
print("===========================")
# var() 样本数值的方差
print(student_info.var())


# 运行结果:
Chinese   Math  English
0        88   11.0     22.0
1        33    NaN     30.0
2        85   32.0     90.0
3        45   39.0      NaN
4        11  100.0    103.0
5        88   33.0     74.0
6        85   39.0     90.0
7        88   11.0     22.0
8        33    NaN     30.0
9        85   32.0     90.0
10       45   39.0      NaN
11       11  100.0    103.0
12       88   33.0     74.0
13       85   39.0     90.0
14       88   11.0     22.0
15       33    NaN     30.0
16       85   32.0     90.0
17       45   39.0      NaN
18       11  100.0    103.0
19       88   33.0     74.0
20       85   39.0     90.0
21       88   11.0     22.0
22       33    NaN     30.0
23       85   32.0     90.0
24       45   39.0      NaN
25       11  100.0    103.0
26       88   33.0     74.0
27       85   39.0     90.0
===========================
Chinese     909.756614
Math        786.666667
English    1006.753623
dtype: float64
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转载自blog.csdn.net/weixin_38477351/article/details/104546952