Metadata-Version: 2.1
Name: fast-csv
Version: 1.3.2
Summary: reduce memory usage
Home-page: https://github.com/YUX-IO/fast_csv
Author: yux
Author-email: yu.xiao.fr@gmail.com
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas

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## requirements

- Pandas
- Numpy

## installation

`pip install fast_csv`

`!pip install fast_csv` for Google Colab or Kaggle notebook

## usage

```python
import fast_csv as fc
data = fc.read_csv('$PATH/$FILE.csv')
```

```python
import pandas as pd
import fast_csv as fc

data = fc.reduce_df(pd.DataFrame())
```

## vs pd.read_csv

See `data.info()`

- it reduces 50% of memory usage on average
- it reduces 90%+ of memory usage on a good day


