Comments (1)
It looks like this will not be so easy to implement. After digging into the tqdm
documentation, their pandas hack only works for Series and DataFrame objects. GeoSeries and GeoDataFrame are shit out of luck.
An alternative would be to track progress using iterrows()
. But this seems to run about 25% slower than apply()
, and losing speed doesn't seem to be worth the tradeoff of improved progress tracking.
Oh well. To the backburner you go.
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Related Issues (20)
- pseudoabsence_from_bias_file not properly accounting for bias HOT 1
- Remove old docker references, superfluous conda routines from Makefile
- Remove docs/pre-commit dependencies from environment.yml
- Create conda skeleton to deploy package via GH Actions HOT 2
- Testing CI on all PRs
- Set up CI workflow dependencies
- `model.fit()` should clear state prior to running
- Handle 2d `y` variables
- [JOSS review]: Sample data missing at installation HOT 1
- [JOSS review]: unexpected keyword argument with feature transformations HOT 1
- [JOSS review]: unexpected keyword argument in envelope suitability HOT 1
- [JOSS review]: data to reproduce the examples in the documentation HOT 3
- `nan` / `-inf` from computing hinge features across uniform covariate values
- add `quiet` option to silence tqdm
- handle dropped NA values when annotating a `GeoDataFrame`
- Citing elapid library HOT 3
- [JOSS review] Cannot determine CRS in Maxent vignette HOT 3
- package install challenges from `conda-forge` HOT 6
- Support partial dependence plots and feature importance scores
- module 'elapid' has no attribute
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