A Python package for streamlined Exploratory Data Analysis (EDA)
Project description
EDAbyAlex
A Python package for streamlined Exploratory Data Analysis (EDA) with support for various file formats.
Features
-
Flexible Data Loading
- Support for both CSV and Excel (.xlsx) files
- Single file loading with automatic sheet detection
- Multiple file loading with pattern matching
- Smart Excel sheet handling
-
Comprehensive EDA Tools
- Quick data preview (first 10 rows)
- Statistical description of numerical columns
- Dataset information and structure
- Column listings
- Unique value analysis
- Missing value detection
Installation
pip install edabyalex
Quick Start
from extractor import extractor
Initialize with a File Path
Requirements
- pandas >= 1.0.0
- numpy >= 1.18.0
- openpyxl >= 3.0.0 (for Excel support)
Version
Current version: 0.1.0
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Alex Yang
Contributing
Contributions, issues, and feature requests are welcome!
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file edabyalex-0.1.0.tar.gz.
File metadata
- Download URL: edabyalex-0.1.0.tar.gz
- Upload date:
- Size: 5.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
440d7a34c5f5bc776c8437cf1e0cb23f5554bfe5de1c56f08f1aefba5df0661c
|
|
| MD5 |
96f030ba6c77432dc841b9ce590ed207
|
|
| BLAKE2b-256 |
0bf4d46297cd58a9b992b871c593cbbbca36d9e7e8383787cd253c26d51490ee
|
File details
Details for the file edabyalex-0.1.0-py3-none-any.whl.
File metadata
- Download URL: edabyalex-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
88febb6497e58fb6c44a5ee5c6a0d2527b21c4bfd362ffd1634685fe1e125060
|
|
| MD5 |
da7f5755872af39c7f9eaeb97814aa9c
|
|
| BLAKE2b-256 |
1cf9bd120a1e1e8cd7a618129b47a6e25733477bdc80191dccd365e3cd931911
|
