Index.isna()
Pandas Index.isna()
detects missing values. It returns a boolean of the same size indicating whether the values are NA. NA values such as None, numpy.NaN, or pd.NaT map to True. Everything else is matched against false values. Characters such as empty strings & # 39; & # 39; or numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as_na = True).
Syntax: Index.isna ()
Parameters: Doesn’t take any parameter.
Returns: A boolean array of whether my values are NA
Example # 1: Use Index.isna ()
to check if any value in the index is NaN
.
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Output:
Now we will check the missing values in the index .
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Output:
Function returned an array object of the same size as the index. True
means there was no index mark, and False
means there was an index mark.
Example # 2: Use Index.isna ()
to check if missing Datetime indexes count as NaN
values or not.
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Exit:
Now we check if there are tags in the Datetime index .
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Output:
As we can see from the output, the function returned an array object whose size matches with the size of the Datetime index. True
means there is no index mark, and False
means no index mark is missing.