Python scripts to reduce memory usage
Project description
reduce_memory_usage
install
pip install reduce_memory_usage
How to use
import reduce_memory_usage
df_origin = pd.read_csv('<FILE>')
df = reduce_memory_usage.reduce_memory_usage(df_origin)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for reduce_memory_usage-0.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6156a7028b34d02be4bb684e4cd9b58d69668033d80951dddce04e3be2aa4200 |
|
MD5 | f1e43f4db88d276e1812c8c08c16907a |
|
BLAKE2b-256 | 72fee0fce5e7eab6f60b731706e2af7ea9127891ab003c6f77e3d03f143af4b7 |
Close
Hashes for reduce_memory_usage-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fca201af72aa90717ed84e475be8bee0618ef754b29f6192ac202d0e29794a55 |
|
MD5 | 9974b1fbd05fee068c9d2c097abed114 |
|
BLAKE2b-256 | 52b660461bfd833a91c47840ad6439f0e03101f9fad2c4b4f6a705df44ebcb09 |