Flexi DataReader
Flexi DataReader is a powerful and versatile Python library for working with datasets in multiple formats. It simplifies the process of reading files, generating synthetic datasets, and loading predefined datasets from scikit-learn.
🌟 Features
- Automatically detects and processes files in various formats:
- CSV
- JSON
- Excel (
.xlsx) - MATLAB (
.mat) - Parquet
- Generates synthetic datasets for machine learning using scikit-learn:
- Classification
- Regression
- Clustering
- Loads predefined datasets from scikit-learn:
- Iris, Digits, California Housing, and more.
- Robust error handling for missing files, invalid data, and unsupported formats.
🚀 Installation
Install the library directly from PyPI:
pip install flexi-datareader
To install the latest development version from GitHub
pip install git+https://github.com/YousofLHC/flexi-datareader.git
1 maintainer
Metadata
1 maintainer
Release files for AdaReader 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| adareader-0.0.2.tar.gz | 6.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| AdaReader-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.6 kB
Release files / adareader-0.0.2.tar.gz
| Download URL | adareader-0.0.2.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / AdaReader-0.0.2-py3-none-any.whl
| Download URL | AdaReader-0.0.2-py3-none-any.whl |
|---|---|
| Size | 6.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.1
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Security for AdaReader 0.0.2
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