7 examples of 'pandas merge asof' in Python
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332 def merge_datasets(self, other): 333 """ 334 This operation combines two dataframes into one new DataFrame. 335 If the operation is combining two SpatialDataFrames, the 336 geometry_type must match. 337 """ 338 if isinstance(other, SpatialDataFrame) and \ 339 other.geometry_type == self.geometry_type: 340 return pd.concat(objs=[self, other], axis=0) 341 elif isinstance(other, DataFrame): 342 return pd.concat(objs=[self, other], axis=0) 343 elif isinstance(other, Series): 344 self['merged_datasets'] = other 345 elif isinstance(other, SpatialDataFrame) and \ 346 other.geometry_type != self.geometry_type: 347 raise ValueError("Spatial DataFrames must have the same geometry type.") 348 else: 349 raise ValueError("Merge datasets cannot merge types %s" % type(other))
29 def _concat(df, type): 30 if df is None: 31 df = pd.DataFrame(_object_blocks[type]) 32 else: 33 _df = pd.DataFrame(_object_blocks[type]) 34 df = pd.concat([df, _df], sort=True) 35 return df
813 def merge(old_cols, new_cols): 814 return old_cols + new_cols
184 def combine(self, obsra, inplace=True): 185 """ 186 concatenates a new obsra onto the end of the current one. 187 """ 188 newobsra = pd.concat([self.obsra, obsra]) 189 if inplace: self.obsra = newobsra 190 return newobsra
6 def default_merger(x, y): 7 import pandas as pd 8 return pd.concat([x, y])
142 def append_data(df1, df2): 143 ''' 144 Append df2 to df1 145 ''' 146 df = pd.concat((df1, df2)) 147 return df.groupby(df.index).first()
474 def full_merge_of_existing_series(old_series, new_series): 475 """ 476 Merges old data with new data. 477 Any Nan in the existing data will be replaced (be careful!) 478 479 :param old_data: pd.Series 480 :param new_data: pd.Series 481 482 :returns: pd.Series 483 """ 484 if len(old_series)==0: 485 return new_series 486 if len(new_series)==0: 487 return old_series 488 489 joint_data = pd.concat([old_series, new_series], axis=1) 490 joint_data.columns = ['original', 'new'] 491 492 # fill to the left 493 joint_data_filled_across = joint_data.bfill(1) 494 merged_data = joint_data_filled_across['original'] 495 496 return merged_data