pandas 两个数据帧之间的相关性
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Correlation between two dataframes
提问by TPM
Similar questions have been asked, but I've not seen a lucid answer. Forgive me for asking again. I have two dataframes, and I simply want the correlation of the first data frame with each column in the second. Here is code which does exactly what I want:
有人问过类似的问题，但我还没有看到清晰的答案。原谅我又问了。我有两个数据框，我只想将第一个数据框与第二个中的每一列相关联。这是完全符合我想要的代码：
df1=pd.DataFrame( {'Y':np.random.randn(10) } )
df2=pd.DataFrame( {'X1':np.random.randn(10), 'X2':np.random.randn(10) ,'X3':np.random.randn(10) } )
for col in df2:
print df1['Y'].corr(df2[col])
but it doesn't seem like I should be looping through the dataframe. I was hoping that something as simple as
但似乎我不应该遍历数据帧。我希望像这样简单的事情
df1.corr(df2)
ought to get the job done. Is there a clear way to perform this function without looping?
应该完成工作。有没有一种明确的方法可以在不循环的情况下执行此功能？
