6 examples of 'merge multiple dataframes pandas' in Python

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813def merge(old_cols, new_cols):
814 return old_cols + new_cols
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57def merge(left, right):
58 return left.merge(right, on=on, how=how, suffixes=(lsuffix, rsuffix))
332def 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))
24def _merge_dataframes(self, dataset_readers_list):
25
26 final_df = None
27 all_dfs = []
28 keys = []
29
30 for dataset, readers in dataset_readers_list:
31 dataset_df = readers[0]
32 for df in readers[1:]:
33 if df is None:
34 continue
35 dataset_df = dataset_df.add(df, fill_value=0.)
36
37 all_dfs.append(dataset_df)
38 keys.append(dataset)
39
40 final_df = pd.concat(all_dfs, keys=keys, names=['dataset'], sort=True)
41
42 return final_df.reset_index()
29def _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
6def default_merger(x, y):
7 import pandas as pd
8 return pd.concat([x, y])

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