How can i make the for loop faster in python?

Asked May 24 '22 at 06:36

Active May 24 '22 at 06:36

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I am using the following piece of code using python and lambda.

for merged_polygon in merged_polygon_array:

            df_outer['matching_points']=df_outer.apply(lambda df_outer:matched_points(merged_polygon,df_outer) if df_outer['matching_points']!=True else True ,axis=1)

But it is taking more time to iterate.

I want this to be optimized . Can anyone suggest how to optimize?

Thanks

asked May 24 '22 at 06:36

Karthik J

You can try use Multiprocessing và Multithreading to loop faster. https://stackoverflow.com/questions/15143837/how-to-multi-thread-an-operation-within-a-loop-in-python – Long May 24 '22 at 06:54
Or you can use `Dask` since `Dask` is compatible with `pandas` dataframe now – Kevin Choon Liang Yew May 24 '22 at 07:23
There is no clue about variables like `merged_polygon_array` ,df_outer. etc. – uozcan12 May 24 '22 at 12:16

How can i make the for loop faster in python?

0 Answers0