Index.notnull() detects existing (not missing) values. This function returns a Boolean of the same size indicating that the values are not NA. Values not missing are displayed as True. Characters such as empty strings "or numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as_na = True). NA values such as None or numpy.NaN are mapped to false values.
Syntax: Index.notnull ()
Returns: Boolean array to indicate which entries are not NA.
Example # 1: Use
Index.notnull () () to detect missing values in the given index.
As we can see in the output, all non-missing values were mapped to
True and all missing values were mapped to
False . Note that an empty string was matched against
True because an empty string is not considered a missing value.
Example # 2: Use
Index.notnull () find all non-missing values in the index.
Let`s find out all the non-missing values in the index
As we can see in the output, everything is not the missing values were matched against
True and all missing values were matched against
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