19 июл. 2022 г. · It takes less than 2 seconds to scan the whole CSV file, which means that the scan speed is faster than 750MB/S. It is much faster than the disk speed, ...

26 янв. 2024 г. · polars.read_csv looks equivalent to pandas.read_csv as they have the same name. Which one to use in which scenario and how they are similar/different to pandas ...

20 мар. 2024 г. · 1 Answer. You could think of scan as a "lazy read" and sink as a "lazy write". read is eager and loads everything into memory giving you a ...

17 сент. 2022 г. · A lazy concat will parallelize the work over its inputs. This might give a bit more memory usage than the sequential reads in eager.

25 февр. 2024 г. · How to overwrite a file read by polars? 2 · How to read Excel ... How to scan multiple CSV files (some) with missing columns using Polars?

2 июн. 2023 г. · read_csv_batched is great. In comparison, scan_csv takes longer and longer as it works its way through the file.

18 окт. 2023 г. · Rust polars scan_parquet is much slower than python when reading from s3. it takes only about 5s. What is Python polars doing that I'm not?

7 июл. 2023 г. · I'm trying to use the Polars library to scan multiple CSV files and select a set of columns from each file. However, some of the CSV files are missing some of ...

24 апр. 2023 г. · The polars native scan_parquet now directly supports reading hive partitioned data from cloud providers, and it will use the available statistics/metadata.

14 сент. 2023 г. · I would like to be able to process very large files in Polars without running out of memory. In the documentation they suggest using scanning, lazyframes and ...