6 examples of 'pandas reindex from 0' in Python
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331 def _reindex_extra_source(self, df, source_date_index): 332 return df.reindex(index=source_date_index, method='ffill')
1186 def reindex_axis(self, new_index, axis, method=None, limit=None, 1187 fill_value=None, copy=True): 1188 """ 1189 Conform block manager to new index. 1190 """ 1191 new_index = ensure_index(new_index) 1192 new_index, indexer = self.axes[axis].reindex(new_index, method=method, 1193 limit=limit) 1194 1195 return self.reindex_indexer(new_index, indexer, axis=axis, 1196 fill_value=fill_value, copy=copy)
244 @classmethod 245 def reindex(cls, dataset, kdims=None, vdims=None): 246 # DataFrame based tables don't need to be reindexed 247 return dataset.data
653 def set_index_post_series(df, index_name, drop, column_dtype): 654 df2 = df.drop("_partitions", axis=1).set_index("_index", drop=True) 655 df2.index.name = index_name 656 df2.columns = df2.columns.astype(column_dtype) 657 return df2
41 @property 42 def drop(self): 43 return self._drop
367 def test_reindex(self): 368 foo = self.dv 369 bar = self.dv[:2, :2] 370 self.assertDataArrayIdentical(foo.reindex_like(bar), bar) 371 372 expected = foo.copy() 373 expected[:] = np.nan 374 expected[:2, :2] = bar 375 self.assertDataArrayIdentical(bar.reindex_like(foo), expected)