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3 rows where author_association = "CONTRIBUTOR", issue = 103703011 and user = 277579 sorted by updated_at descending

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  • davidtrem · 3 ✖

issue 1

  • operation on complex number data · 3 ✖

author_association 1

  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
136084636 https://github.com/pydata/xarray/issues/553#issuecomment-136084636 https://api.github.com/repos/pydata/xarray/issues/553 MDEyOklzc3VlQ29tbWVudDEzNjA4NDYzNg== davidtrem 277579 2015-08-30T04:40:47Z 2015-08-30T04:43:16Z CONTRIBUTOR

That would be great to add .real and .imag .abs and .angle :+1:

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  operation on complex number data 103703011
135835466 https://github.com/pydata/xarray/issues/553#issuecomment-135835466 https://api.github.com/repos/pydata/xarray/issues/553 MDEyOklzc3VlQ29tbWVudDEzNTgzNTQ2Ng== davidtrem 277579 2015-08-28T17:10:50Z 2015-08-28T17:11:19Z CONTRIBUTOR

I realized this is also an issue in Pandas. So I also reported here: https://github.com/pydata/pandas/issues/10921

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  operation on complex number data 103703011
135747033 https://github.com/pydata/xarray/issues/553#issuecomment-135747033 https://api.github.com/repos/pydata/xarray/issues/553 MDEyOklzc3VlQ29tbWVudDEzNTc0NzAzMw== davidtrem 277579 2015-08-28T11:45:39Z 2015-08-28T11:45:39Z CONTRIBUTOR

A short example for convenience:

python import xray import numpy as np arr = xray.DataArray(np.random.randn(2, 3) + 1j*np.random.randn(2, 3)) np.abs(arr) # returns a xray DataArray np.angle(arr) # returns a numpy ndarray

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  operation on complex number data 103703011

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