def drop_nan(self, col: str=None, method: str="all", **kwargs):
        """
        Drop rows with NaN values from the main dataframe

        :param col: name of the column, defaults to None. Drops in 
                                                                                                                                                                                                        all columns if no value is provided
        :type col: str, optional
        :param method: ``how`` param for ``df.dropna``, defaults to "all"
        :type method: str, optional
        :param \*\*kwargs: params for ``df.dropna``
        :type \*\*kwargs: optional

        :example: ``ds.drop_nan("mycol")``
        """
        try:
            if col is None:
                self.df = self.df.dropna(how=method, **kwargs)
            else:
                self.df = self.df[self.df[col].notnull()]
        except Exception as e:
            self.err(e, "Error dropping nan values")
def drop_nan ( self , col : str = None , method : str = "all" , ** kwargs ) : try : if col is None : self . df = self . df . dropna ( how = method , ** kwargs ) else : self . df = self . df [ self . df [ col ] . notnull ( ) ] except Exception as e : self . err ( e , "Error dropping nan values" )
Drop rows with NaN values from the main dataframe

        :param col: name of the column, defaults to None. Drops in 
                                                                                                                                                                                                        all columns if no value is provided
        :type col: str, optional
        :param method: ``how`` param for ``df.dropna``, defaults to "all"
        :type method: str, optional
        :param \*\*kwargs: params for ``df.dropna``
        :type \*\*kwargs: optional

        :example: ``ds.drop_nan("mycol")``