Pandas Function Series.notna()
Detects existing (not missing) values. This function returns a boolean that is the same size as the object, indicating whether the values are missing or not. Values not missing are displayed on. Characters such as blank lines "or numpy.inf
are not considered NA values (unless pandas.options.mode.use_inf_as_na = True is set). NA values such as None or numpy.NaN are mapped to false values.
Syntax: Series.notna ()
Parameter: None
Returns: Series
Example # 1: Use the Series.notna ()
to find all non-missing values in a given series object.
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Exit :
We will now use the Series function. notna ()
to detect non-missing values in a series object.
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Output:
As we can see from the output, the Series.notna ()
function returned a boolean. True
means that the corresponding value is not missing. The False
value indicates that there is no value. All values are true in this series, since there are no missing values.
Example # 2: Use the Series.notna ()
function to find all not missing values in this series object.
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Output:
Now we will use the Series.notna ()
function to detect non-missing values in the series object.
|
Exit:
As we can see from the output, the Series .notna ()
returned a boolean. True
means that the corresponding value is not missing. The False
value indicates that there is no value.