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Would be useful for sorting a list of days or months without needing a separate column
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I have a timeseries data that I have to fit a classifier, I would like to re-train it every month with new data coming in. I would like to keep some consistency, so I prefer to pre_warm the tree with …
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
foo = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c'])
bar = pd.Categorical(['d', 'e'], categories=['d',…
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## Willingness to contribute
The MLflow Community encourages new feature contributions. Would you or another member of your organization be willing to contribute an implementation of this feature (ei…
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Author Name: **James** (James)
Original Redmine Issue: 120818, https://vlab.noaa.gov/redmine/issues/120818
Original Date: 2023-09-22
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Given a need to measure forecast quality for rare or e…
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Right now, some in memory operations work with a Raster that wraps a CategoricalArray.
Here's an mwe:
```julia
using Rasters, CategoricalArrays
grain_order = ["clay", "silt", "sand"]
grain_…
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In statistical offices we often work with various classifications. The default `factor` variable in R has only very limited capabilities. We could try to create something better:
- Classifications …
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DataFrameMapper transformation removes the "category" dtype from dataframe columns
Categorical status can be checked with:
hasattr(df['categorical_column'], 'cat')
Some classifiers like LightGB…
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### Pandas version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsn…
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The AMR data provided by UKHSA has a field spec_date - the date the specimen was collected.
With the exception of age at time of specimen collection which I can calculate, all the other variable ar…