TypeError:corr()缺少1个必需的位置参数:"other" [英] TypeError: corr() missing 1 required positional argument: 'other'

问题描述

我是python的新手，碰壁了.我应该计算皮尔逊相关系数，但是我有错误.我唯一能想到的是python需要不同的语法.

I am new to python and have hit a wall. I should count pearson correlation coefficient, but I have error. The only thing I can think of is that python requires different syntax.

import pandas
import numpy as np

data = pandas.read_csv('One_imortant_table.csv', index_col='Id')
corr1 = data['Numb'].corr(method='pearson', min_periods=1)
print(corr1)

TypeError:

TypeError:

--->  corr1 = data['Numb'].corr(method='pearson', min_periods=1)        
TypeError: corr() missing 1 required positional argument: 'other'

我在这里做错了什么?我已经搜索了这个错误，但是找不到更多.我正在将Windows 10与最新版本的python一起使用，并以Jupyter进行编码.

What am I doing wrong here? I have searched for this mistake, but can't find any more. I am using windows 10 with the latest version of python, coding in Jupyter.

推荐答案

应该在两列之间计算相关性.参数其他"是应使用的第二列.例如，您可以执行以下操作:

Correlation should be calculated between two columns. The argument 'other' is the second column that should be used. For example, you could do something like that:

import pandas
import numpy as np

data = pandas.DataFrame({'Numb':[1,2,3],'a':[7,8,9]})
corr1 = data['Numb'].corr(data['a'],method='pearson', min_periods=1)
print(corr1)

这将打印1.0

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