pandas 常用的数学统计方法 idxmin()

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

 

1、定义：计算能够获取到最小值的索引位置（整数）。

2、示例：    

import pandas as pd
import numpy as np

student_info = pd.read_csv("F:/人工智能/科学计算库/files/student_info.csv")
print(student_info)
print("===========================")
# idxmin() 计算能够获取到最小值的索引位置（整数）
print(student_info.idxmin())
print("===========================")
np.where(student_info["Math"]==student_info["Math"].min())

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    4
Math       0
English    0
dtype: int64
​===========================
(array([ 0,  7, 14, 21], dtype=int64),)

 

来源：CSDN

作者：诗雨时

链接：https://blog.csdn.net/weixin_38477351/article/details/104545533