Python integer datatype can store NaN values.
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Reason — Python integer datatype cannot store NaN values. To store a NaN value in a column, the datatype of a column is changed to non-integer suitable type.
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Function rsub() and operator - give the same result.
The minus - operator's result is same as sub() and rsub().
Functions sum() and cumsum() produce the same result.
The fillna() can also fill individual missing values for different columns.