3 examples of 'subtract two dataframes pandas' in Python

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3081def _diff(self, periods, part_cols=()):
3082 if not isinstance(periods, int):
3083 raise ValueError('periods should be an int; however, got [%s]' % type(periods))
3084 window = Window.partitionBy(*part_cols).orderBy(self._internal.index_scols)\
3085 .rowsBetween(-periods, -periods)
3086 scol = self._scol - F.lag(self._scol, periods).over(window)
3087 return self._with_new_scol(scol).rename(self.name)

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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
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))

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