pandarallel

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Fix #191: `TypeError: 'generator' object is not subscriptable` when using colab

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Fix #191 Didn't find a way of doing this that doesn't convert the generator to a list, unfortunately. To check that it works in colab (adapted from @agiveon's example): ```python...

till-m

TypeError: 'generator' object is not subscriptable error in colab - works in VScode

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## General - **Operating System**: OSX - **Python version**: 3.7.13 - **Pandas version**: 1.3.5 - **Pandarallel version**: 1.6.2 ## Acknowledgement - Issue happens on Colab only. When I use VScode,...

agiveon

Ideally, it should run on: - Linux - Windows - Mac

nalepae

`assert` are missing in some failing tests

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Function names: - `test_dataframe_groupby_expanding_apply` - `test_dataframe_groupby_apply_complex`

nalepae

Mate your library takes almost two hours to do what normal `apply()` can do in 30 seconds. WYD?

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Without pandarallel - ```python3 unspsc_title_similarity_df['titles_similarity_score'] = unspsc_title_similarity_df[['label_title_1', 'label_title_2']].apply(lambda x: get_spacy_similarity(*x), axis = 1) ``` ```shell 100%|██████████████████████████████████████████| 1770/1770 [00:30

rajdeep-biswas

Exception in function passed to `parallel_apply` results in obscure `EOFError`

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## General - **Operating System**: Arch Linux (Linux kernel version 5.16.16) - **Python version**: 3.10.4 - **Pandas version**: 1.4.1 - **Pandarallel version**: 1.6.1 ## Acknowledgement - My issue is **NOT**...

codeandfire

parallel_apply results in EOFError when run from Pycharm, works fine from Jupyter Notebook

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I was trying to parallelise my code with `pandarallel` package in the following way: import pandas as pd from sklearn.cluster import SpectralClustering from pandarallel import pandarallel import numpy as np...

KubaMichalczyk

EOFError while using pandarallel

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I tried using this package to query API end points based on the pandas dataframe. I am getting the following error using the package - ``` Traceback (most recent call...

reach4bawer

df.groupby(args)[colName].parallel_apply(func1) support?

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**Please write here what feature `pandarallel` is missing:** You support the same functionality if you write an apply on a dataframe instaed of a series. e.g. df.groupby(args)[[colName]].parallel_apply(func1) Would it be...

uditrana

I start parallel with a thread in the main function_ Apply didn't report an error, but I used a thread to call parallel in Django service first_ When applying the...

heppytt