How To Find Non Missing Values In A DataFrame? Table Of Contents: Syntax ‘notna( )’ Method In Pandas. Examples ‘notna( )’ Method. (1) Syntax: DataFrame.notna() Description: Detect existing (non-missing) values. Return a boolean same-sized object indicating if the values are not NA. Non-missing values get mapped to 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, get mapped to False values. Returns: DataFrame – Mask of bool values for each element in DataFrame that indicates whether an element is not an NA value. (2) Examples Of notna() Method: Example-1: df

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