如何用熊猫从DataFrame的所有元素中减去一个数字?

问题描述

我正在尝试使用pandas从DataFrame中的所有元素中减去一个数字。但是,仅减去第一个元素,其他元素得到NaN

以下是数据: DataFrame_3x5.csv

A   B   C
0.1 0.3 0.5
0.2 0.4 0.6
0.3 0.5 0.7
0.4 0.6 0.8
0.5 0.7 0.9

这是我的代码

import pandas as pd
data = pd.read_csv(r"DataFrame_3x5.csv")
df = pd.DataFrame(data)
medianList = pd.DataFrame()

for i in range(0,data.shape[1]):
  medianList = medianList.append([df.iloc[:,i].median()],ignore_index=True)

for i in range(0,data.shape[1]):
  print(data.iloc[:,i])
  print(medianList.iloc[i])
  print(data.iloc[:,i] - medianList.iloc[i])
  # print(data.iloc[:,i].sub([medianList.iloc[i]],axis='columns')) # doesn't work

结果如下:

0    0.1
1    0.2
2    0.3
3    0.4
4    0.5
Name: A,dtype: float64
0    0.3
Name: 0,dtype: float64
0   -0.2
1    NaN
2    NaN
3    NaN
4    NaN
dtype: float64
0    0.3
1    0.4
2    0.5
3    0.6
4    0.7
Name: B,dtype: float64
0    0.5
Name: 1,dtype: float64
0   -0.2
1    NaN
2    NaN
3    NaN
4    NaN
dtype: float64
0    0.5
1    0.6
2    0.7
3    0.8
4    0.9
Name: C,dtype: float64
0    0.7
Name: 2,dtype: float64
0   -0.2
1    NaN
2    NaN
3    NaN
4    NaN
dtype: float64

我的期望:

0   -0.2
1   -0.1
2    0.0
3    0.1
4    0.2

根据this site

print(data.iloc[:,axis='columns'))

...应该可以,但实际上会产生错误

ValueError: No axis named columns for object type <class 'pandas.core.series.Series'>

我不知道该怎么办。请帮我。谢谢。

解决方法

您可以这样做:

df - df.median(axis=0)

和熊猫会照顾用来计算值的轴

,

一个简单的解决方案:

$rating->user->first()->firstName

enter image description here

,

我认为,如果您先尝试dropna,然后简单地减去它就可以了

df=df.dropna(how='any')
df['Sub']=int(df['A']) - int(df['B']) - int(df['C'])
,
import pandas as pd
data = pd.read_csv(r"DataFrame_3x5.csv")
df = pd.DataFrame(data)
medianList = pd.DataFrame()
for i in range(0,data.shape[1]):
  medianList = medianList.append([df.iloc[:,i].median()],ignore_index=True)

df1 = pd.DataFrame(columns=['A'])
j=0
for i in range(0,data.shape[0]):
    print(data['A'].iloc[i]) # one column
    print(medianList.iloc[i])  #1 value
    print(data['A'].iloc[i] - medianList.iloc[j])