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only drop NaNs from selected data vars #132

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merged 2 commits into from
May 20, 2024

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@brendan-m-murphy brendan-m-murphy commented May 17, 2024

  • Summary of changes

The "scenarios" in fp_data have several data variables that aren't needed for the inversion.

Previously, if these variables had NaNs, those times would be dropped from the entire scenario, which results in data being thrown away unnecessarily.

  • Please check if the PR fulfills these requirements

The "scenarios" in `fp_data` have several data variables
that aren't needed for the inversion.

Previously, if these variables had NaNs, those times would be dropped
from the entire scenario, which results in data being thrown away
unnecessarily.
@brendan-m-murphy brendan-m-murphy marked this pull request as ready for review May 20, 2024 00:32
@brendan-m-murphy brendan-m-murphy merged commit b432986 into devel May 20, 2024
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@brendan-m-murphy brendan-m-murphy deleted the Iss127-missing-obs-values branch May 20, 2024 09:54
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Missing observations after pymc is called
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