pandas 类型错误：corr() 缺少 1 个必需的位置参数：“其他”
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TypeError: corr() missing 1 required positional argument: 'other'
提问by Andrey Stebenkov
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.
我是 python 的新手，遇到了麻烦。我应该计算皮尔逊相关系数，但我有错误。我唯一能想到的是python需要不同的语法。
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:
类型错误：
---> corr1 = data['Numb'].corr(method='pearson', min_periods=1)
TypeError: corr() missing 1 required positional argument: 'other'
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.
我在这里做错了什么？我已经搜索了这个错误，但找不到更多。我正在使用 Windows 10 和最新版本的 python，在 Jupyter 中编码。
回答by Miriam Farber
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:
应计算两列之间的相关性。参数“other”是应该使用的第二列。例如，您可以执行以下操作：
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)
This prints 1.0
这打印 1.0
回答by Allen
You need at least 2 columns to calculate correlation. Try this to see if it works?
您至少需要 2 列来计算相关性。试试这个，看看它是否有效？
data.corr(method='pearson', min_periods=1)
