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Most likely your data contain empty values, which will be represented as NaN (Not a Number) by pandas. So you need to preprocess your data.
- In case your data have infinity values, you can replace them first by using
data = data.replace([np.inf, -np.inf], np.nan) - Then you need to either drop the rows which contain
NaNvalues usingdata = data.dropna(), or fill NaN values with 0, mean or median value of your data withdata = data.fillna()
For further information, you can check this link.
Chris
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