Missing values

NA is the way to represent missing values for nullable dtypes (see below):

NA

NA ("not available") missing value indicator.

NaT is the missing value for timedelta and datetime data (see below):

NaT

(N)ot-(A)-(T)ime, the time equivalent of NaN.

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https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/missing_value.html