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160 def __add__(self, other): 161 if isinstance(self.spark_type, StringType): 162 # Concatenate string columns 163 if isinstance(other, IndexOpsMixin) and isinstance(other.spark_type, StringType): 164 return _column_op(F.concat)(self, other) 165 # Handle df['col'] + 'literal' 166 elif isinstance(other, str): 167 return _column_op(F.concat)(self, F.lit(other)) 168 else: 169 raise TypeError('string addition can only be applied to string series or literals.') 170 else: 171 return _column_op(spark.Column.__add__)(self, other)
813 def merge(old_cols, new_cols): 814 return old_cols + new_cols
136 def copy_column(self, to, fro): 137 """Copy column data 138 139 Args: 140 fro (str): column name to copy data from 141 to (str): column name to copy to 142 """ 143 logging.debug("copying {} to {}".format(fro, to)) 144 self.df[to] = self.df[fro]
463 def __add__(self, other, option='left'): 464 if isinstance(other, Column): 465 b = [other] 466 elif isinstance(other, ColDefs): 467 b = list(other.columns) 468 else: 469 raise TypeError('Wrong type of input.') 470 if option == 'left': 471 tmp = list(self.columns) + b 472 else: 473 tmp = b + list(self.columns) 474 return ColDefs(tmp)
181 def _create_column(self, name): 182 column = Column(name, self._ids, storagegroup=self.storagegroup) 183 index = len(self._columns) 184 self._columndict[name] = index 185 self._columns.append(column) 186 return column
38 def __add__(self, other): 39 40 for attr, data in self: 41 data_other = getattr(other, attr) 42 43 merged = pandas.concat( 44 [data, data_other], sort=False 45 ) 46 47 setattr(self, attr, merged) 48 49 self.update_iid() 50 51 return self