Brian - 3 months ago 8

Python Question

I was reading through the answers to this question. Then question came up on how to calculate the correlations of all columns from one dataframe with all columns from the other dataframe. Since it seemed this question wasn't going to get answered, I wanted to ask it as I need something just like that.

So say I have dataframes

`A`

`B`

`import pandas as pd`

import numpy as np

A = pd.DataFrame(np.random.rand(24, 5), columns=list('abcde'))

B = pd.DataFrame(np.random.rand(24, 5), columns=list('ABCDE'))

how do I get a dataframe that looks like this:

`pd.DataFrame([], A.columns, B.columns)`

A B C D E

a NaN NaN NaN NaN NaN

b NaN NaN NaN NaN NaN

c NaN NaN NaN NaN NaN

d NaN NaN NaN NaN NaN

e NaN NaN NaN NaN NaN

But filled with the appropriate correlations?

Answer

Source (Stackoverflow)

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