I\'m struggling with getting a simple correlation done. I\'ve tried all that was suggested under similar questions.
Here are the relevant parts of the code, the vari
You can try as following:
Top15['Citable docs per capita']=(Top15['Citable docs per capita']*100000)
Top15['Citable docs per capita'].astype('int').corr(Top15['Energy Supply per Capita'].astype('int'))
It worked for me.
Well, I've encountered the same problem today.
try use .astype('float64')
to help make the type correct.
data['ESA Index_close_px'][5:50].astype('float64').corr(data['CCMP Index_close_px'][5:50].astype('float64'))
This works well for me. Hope it can help you as well.