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- Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data · 3 ✖
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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417816234 | https://github.com/pydata/xarray/issues/1115#issuecomment-417816234 | https://api.github.com/repos/pydata/xarray/issues/1115 | MDEyOklzc3VlQ29tbWVudDQxNzgxNjIzNA== | shoyer 1217238 | 2018-08-31T23:55:06Z | 2018-08-31T23:55:06Z | MEMBER | I tend to view the second case as a generalization of the first case. I would also hesitate to implement the I think the basic implementation of this looks quite similar to what I wrote here for calculating the Pearson correlation as a NumPy gufunc: http://xarray.pydata.org/en/stable/dask.html#automatic-parallelization The main difference is that we might naturally want to support summing over multiple dimensions at once via the untested!def covariance(x, y, dim=None): return xarray.dot(x - x.mean(dim), y - y.mean(dim), dim=dim) def corrrelation(x, y, dim=None): # dim should default to the intersection of x.dims and y.dims return covariance(x, y, dim) / (x.std(dim) * y.std(dim)) ``` If you want to achieve the equivalent of |
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Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data 188996339 | |
260382091 | https://github.com/pydata/xarray/issues/1115#issuecomment-260382091 | https://api.github.com/repos/pydata/xarray/issues/1115 | MDEyOklzc3VlQ29tbWVudDI2MDM4MjA5MQ== | shoyer 1217238 | 2016-11-14T16:20:14Z | 2016-11-14T16:20:14Z | MEMBER | That said, correlation coefficients are a pretty fundamental operation for working with data. I could see implementing a basic |
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Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data 188996339 | |
260219462 | https://github.com/pydata/xarray/issues/1115#issuecomment-260219462 | https://api.github.com/repos/pydata/xarray/issues/1115 | MDEyOklzc3VlQ29tbWVudDI2MDIxOTQ2Mg== | shoyer 1217238 | 2016-11-13T22:57:02Z | 2016-11-13T22:57:02Z | MEMBER | The first step here is to find a library that implements the desired functionality on pure NumPy arrays, ideally in a vectorized fashion. Then it should be pretty straightforward to wrap in xarray. |
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Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data 188996339 |
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