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`dask.dataframe` works very well on `apply `functions, `groupby `on 11M rows. Save large rows to `parquet `might be the problem, but it is going to be solved. I aim to filter a small size after lots o…
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```
08:56:44 - solver [26.9/34.0 28.6/35.8 0.2Gb] D0T23F0 (end solve) G: 20 iters, conv 50.00%, d/fl 20.00%, PGE 0.0253, stall 86.86%, chi^2 3.044 -> 3.018 (2.55), noise 0.221 -> 0.216
…
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I'm converting from an H-rep to a V-rep using `cddexec --rep` with version `0.94m`. The result seems to be missing vertices
Here's an `.ine` file:
```
H-representation
begin
12 3 real
-0.5367…
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**Describe the issue**:
When using `copy.deepcopy()` on a dictionary like `dictionary = {"dataset": ddf}` in dask 2024.7.0 the copied dataframe is corrupt and `dictinary["dataset"].compute()` rai…
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Pediatric investigational plan number needs to be addressed. It is more a reference than an identifier.
See EMA template https://www.ema.europa.eu/en/documents/template-form/paediatric-investigation-…
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**Describe the issue**:
When trying to use `dask.dataframe.DataFrame.describe`, it returns an incorrect result for columns with a `datetime64[ns]` dtype
**Minimal Complete Verifiable Example**…
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Two groupby in a row is raising an error if the first groupby uses two columns. May be related to the unsupported multi-indexing. #1493
```
ddf = dd.from_pandas(
pd.DataFrame(
{
…
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Pediatric investigational plan number needs to be addressed. It is more a reference than an identifier.
See EMA template https://www.ema.europa.eu/en/documents/template-form/paediatric-investigation…
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## Description
### What steps will reproduce the problem?
```
import pandas as pd
from dask import dataframe as dd
df = pd.DataFrame({'x':range(1,10), 'y':range(10,1,-1)})
ddf = dd.from_…
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I believe that lme() handles the intercept incorrectly in calculating degrees of freedom. For example, consider these two models with and without intercept:
Oats.lme