Polars: The Super Fast Dataframe Library for Python ... bye bye Pandas?

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Опубликовано:

26 фев 2023

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Комментарии : 30

@ThePyCoach Год назад

To try everything Brilliant has to offer-free-for a full 30 days, visit brilliant.org/ThePyCoach/. The first 200 of you will get 20% off Brilliant’s annual premium subscription.

@backnine07 Год назад

great explanation! Thanks so much for your efforts.

@aipy5147 Год назад

Simply brilliant! Thank you. Liked & Subd.

@andydataguy Год назад

Great video thanks!! ❤

@thanomnoimoh9299 Месяц назад

Great Python clip for me!!!

@dfaquino Год назад

Cuando tendrás un curso de Polars en Udemy?

@mikeyimawcw Год назад

I don't see the CSV files you used during the video. Will you also share the Jupyter notebook, please? Thank you for creating and sharing this video.

@ThePyCoach Год назад

I've just added the link of the files to the description. Since it was a very small tutorial, I didn't upload the code to github, but you can get the same code from my Medium article (link on the description)

@mikeyimawcw Год назад

@@ThePyCoach Thank you.

@sigkalbar Год назад

Can I read csv from url using polars?

@tobiewaldeck7105 7 месяцев назад

I have installed polars but python crashes at import polars as pl when I'm trying to run it with my pysimplegui application.

@saisushanthvellampalli908 Год назад

How to arrange the columns in this new library as per requirement

@reasonforge9997 10 месяцев назад

Its weird seeing the use of & in the filter expressions as a logical and rather than a bitwise and. But realized its because python only supports overloading the bitwise operators with __and__, __or__, and __xor__ methods and there is no way to overload the logical and, or and xor operators.

@azwan1992 Год назад

Almost similar syntaxes like pyspark

@RonaldPostelmans Год назад

nice video, thanks. Any idea. how i can change the datatype of a column which has a datatime in it but is datatype string. I want to change it to datetime

@JustRollin 11 месяцев назад

df = df.with_column(pl.col("date").alias("date_string").cast(pl.Object)) df = df.with_column(pl.col("date_string").to_datetime(pl.Date32)) According to chatgpt

@azhanisyahputra9867 8 месяцев назад

@@JustRollin thx to be honest ;)

@marco_gorelli 6 месяцев назад

@@JustRollin wut? Don't convert to pl.Object. Your code doesn't even work! Just do `df.with_columns(pl.col("date_string").str.to_datetime())`

@FlannelCamel 13 дней назад

@@JustRollin boo, don't regurgitate answers you don't understand and are possibly wrong.

@beto.004 8 месяцев назад

Es básicamente spark?

@RidingWithGerdas Год назад

Reminds me of pyspark

@SvenTeresniak 5 месяцев назад

benchmarking against Pandas1 is not fair. Because Pandas is moving towars Arrow-backend and everyone should use Pandas 2 with Arrow as storage.

@fhkk1 4 месяца назад

Anyone please suggest how to update null values with some string in Polars.

@rackstar2 2 месяца назад

if the name of your dataframe is 'df' and the name of the column which may contain nulls is called 'col_a' then this is the code : df = df.with_columns( pl.col('col_a').fill_null('your string here'') )