Informatics Practices
The value NA/NAT/None are the same in Pandas and considered as NaN-values.
Python Data Handling
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Answer
True
Reason — In Pandas, 'NA' (Not Available) and 'NAT' (Not A Time) are used to represent missing values in numeric and datetime columns, respectively. 'None' is used to represent missing values in object columns. Although they are used for different data types, they are all considered as NaN (Not a Number) values.
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