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- Create method to return a masked array · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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129040941 | https://github.com/pydata/xarray/issues/460#issuecomment-129040941 | https://api.github.com/repos/pydata/xarray/issues/460 | MDEyOklzc3VlQ29tbWVudDEyOTA0MDk0MQ== | jhamman 2443309 | 2015-08-08T19:48:46Z | 2015-08-08T19:48:46Z | MEMBER | Is this still something that would be useful? If so, do we want a method on the ``` python In [1]: import xray In [2]: import numpy as np In [3]: da = xray.DataArray(np.random.random_sample(size=(5, 4))) In [4]: da.where(da < 0.5) Out[4]: <xray.DataArray (dim_0: 5, dim_1: 4)> array([[ 0.127, nan, 0.26 , nan], [ 0.377, 0.336, 0.451, nan], [ 0.123, nan, 0.373, 0.448], [ 0.129, nan, nan, 0.352], [ 0.229, nan, nan, 0.138]]) Coordinates: * dim_0 (dim_0) int64 0 1 2 3 4 * dim_1 (dim_1) int64 0 1 2 3 In [5]: da.where(da < 0.5).to_masked_array() Out[5]: masked_array(data = [[0.12696983303810094 -- 0.26047600586578334 --] [0.37674971618967135 0.33622174433445307 0.45137647047539964 --] [0.12310214428849964 -- 0.37301222522143085 0.4479968246859435] [0.12944067971751294 -- -- 0.35205353914802473] [0.2288873043216132 -- -- 0.1375535565632705]], mask = [[False True False True] [False False False True] [False True False False] [False True True False] [False True True False]], fill_value = 1e+20) ``` Alternatively, we could add a |
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Create method to return a masked array 94159276 | |
120211000 | https://github.com/pydata/xarray/issues/460#issuecomment-120211000 | https://api.github.com/repos/pydata/xarray/issues/460 | MDEyOklzc3VlQ29tbWVudDEyMDIxMTAwMA== | clarkfitzg 5356122 | 2015-07-10T03:16:01Z | 2015-07-10T03:16:01Z | MEMBER | Will take a look at this tomorrow. Have been working on plotting lately: https://github.com/xray/xray/tree/feature-plotting |
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Create method to return a masked array 94159276 |
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