Python pandas correlation corr() TypeError: Could not compare ['pearson'] with block values

Question

one = pd.DataFrame(data=[1,2,3,4,5], index=[1,2,3,4,5])

two = pd.DataFrame(data=[5,4,3,2,1], index=[1,2,3,4,5])

one.corr(two)

我认为它应该 return a float = -1.00 但它却产生了以下错误：

TypeError: Could not compare ['pearson'] with block values

在此先感谢您的帮助。

Answer 1

pandas.DataFrame.corr 计算单个数据帧的列之间的成对相关性。这里需要的是 pandas.DataFrame.corrwith:

>>> one.corrwith(two)
0   -1
dtype: float64

Answer 2

你在 DataFrame 上操作，而你应该在 Series 上操作。

In [1]: import pandas as pd

In [2]: one = pd.DataFrame(data=[1,2,3,4,5], index=[1,2,3,4,5])

In [3]: two = pd.DataFrame(data=[5,4,3,2,1], index=[1,2,3,4,5])

In [4]: one
Out[4]:
   0
1  1
2  2
3  3
4  4
5  5

In [5]: two
Out[5]:
   0
1  5
2  4
3  3
4  2
5  1

In [6]: one[0].corr(two[0])
Out[6]: -1.0

为什么要下标[0]？因为那是 DataFrame 中列的名称，因为您没有给它一个。当您引用 DataFrame 中的列时，它将 return 为 Series，这是一维的。此函数的文档是 here.

Python pandas correlation corr() TypeError: Could not compare ['pearson'] with block values

Python pandas correlation corr() TypeError: Could not compare ['pearson'] with block values

python

pandas

typeerror

correlation

pearson