issues: 106068129
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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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| 106068129 | MDU6SXNzdWUxMDYwNjgxMjk= | 572 | Resampling followed by to_array().values | 9836205 | closed | 0 | 1 | 2015-09-11T18:40:09Z | 2015-09-12T14:53:36Z | 2015-09-12T14:53:36Z | NONE | I'm having an issue accessing data as an array after resampling. Before resampling there are no problems using to_array().values but after resampling this same method takes 10+ minutes to complete. The dataset isn't large with dimensions (shape=(1, 672, 180, 360)). I've replicated this with another dataset. I've also tried copying the dataset to another variable but that didn't work either. Does anybody have any thoughts? ``` cmip5_file = "/Users/tj/data/cmip5/access1-0/*.nc" climate model datacmip5 = xray.open_mfdataset(cmip5_file) cmip5.time = pandas.to_datetime(cmip5. time.values) print cmip5.to_array().values ## accesses the data just fine resampled = cmip5.resample('MS', 'time', how='mean') print resampled.to_array().values ## this takes 10+ minutes ``` |
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completed | 13221727 | issue |