Anatoly Myachev
Anatoly Myachev
Reproducer (for example with dask engine and pandas 2.1.0): ```bash pytest modin/pandas/test/test_groupby.py::test_multi_column_groupby_different_partitions ``` Error: ```bash ... def modin_df_almost_equals_pandas(modin_df, pandas_df, max_diff=0.0001): df_categories_equals(modin_df._to_pandas(), pandas_df) modin_df = to_pandas(modin_df) if hasattr(modin_df, "select_dtypes"): modin_df =...
Initially found in https://github.com/modin-project/modin/pull/5713. Found while trying to use this function to wait for remote computation to finish for read functions. ```python # at the moment it is not possible...
Setup on ubuntu-latest and windows-latest: ```bash - uses: conda-incubator/setup-miniconda@v2 with: miniforge-variant: Mambaforge miniforge-version: latest use-mamba: true activate-environment: modin environment-file: environment-dev.yml python-version: 3.8 channel-priority: strict # we set use-only-tar-bz2 to false...
## What do these changes do? - [x] first commit message and PR title follow format outlined [here](https://modin.readthedocs.io/en/latest/development/contributing.html#commit-message-formatting) > **_NOTE:_** If you edit the PR title to match this format,...
## What do these changes do? - [x] first commit message and PR title follow format outlined [here](https://modin.readthedocs.io/en/latest/development/contributing.html#commit-message-formatting) > **_NOTE:_** If you edit the PR title to match this format,...
## What do these changes do? This was originally added here: https://github.com/modin-project/modin/pull/3416/files, but the reason for it is not described. - [x] first commit message and PR title follow format...
Reason: `FutureWarning: Passing 'use_legacy_dataset' is deprecated as of pyarrow 15.0.0 and will be removed in a future version.`.
## What do these changes do? These changes are aimed at reducing the number of dependencies and thereby simplifying the installation of Modin with the Ray engine in the user...
```python import ray ray.init() import modin.pandas as pd left = pd.DataFrame({"a": [1,2,3], "b": [4,5,6]}) right = pd.DataFrame({"a": [1,2,4], "c": [4,2,6]}) res = left.merge(right, on="a", how="left") dtypes = res.dtypes assert dtypes["a"]...