issues: 137920337
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 137920337 | MDU6SXNzdWUxMzc5MjAzMzc= | 780 | Index/dimension order not preserved when going from and to DataFrame | 4641789 | closed | 0 | 5 | 2016-03-02T16:17:55Z | 2019-02-27T22:48:20Z | 2019-02-27T22:48:20Z | NONE | If I convert DataFrame --> Dataset --> DataFrame, then the index ordering gets switched. Is this a bug or a feature? ``` ids = ['A','B'] heights = [1,2] times = pd.date_range('2010-01-01', '2010-01-02', freq='1D') names = ['id','height','time'] index = pd.MultiIndex.from_product([ids, heights, times], names=names) f1 = pd.DataFrame(index=index) # has ordering id, height time f1['V1'] = np.random.ranf(size=len(f1)) f1['V2'] = np.random.ranf(size=len(f1)) ds = xr.Dataset.from_dataframe(f1) # has ordering id, height, time f2 = ds.to_dataframe() # has ordering height, id, time ``` |
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completed | 13221727 | issue |