Informatics Practices

Python integer datatype can store NaN values.

Python Pandas

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False

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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Informatics Practices

Python integer datatype can store NaN values.

Python Pandas

Answer

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