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Question. Do we want to just set our minimum tested NumPy version to 1.21 in the CI since
xarraydoesn't work with Numpy 1.20 and they won't be releasing a patch as per pydata/xarray#6818 (comment)? Due date to drop Numpy 1.20 is Jan 31, 2023 (5 months) per https://numpy.org/neps/nep-0029-deprecation_policy.html#drop-schedule.There was a problem hiding this comment.
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I think setting numpy to v1.21 makes sense. I'm not sure what the plan is for the pygmt v0.8 release, but I don't think we'll have 2 releases before January 2023, so our next release should be up to date on minimum versions.
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Cool. Just to be clear, the suggestion is to just set NumPy 1.21 for the Continuous Integration (CI) so that the unit tests pass. We shouldn't change the minimum supported NumPy mentioned in https://github.com/GenericMappingTools/pygmt/tree/v0.7.0#compatibility-with-gmtpythonnumpy-versions until after Jan 2023 (though users using NumPy 1.20 will need to figure out the
xarraydependency themselves).