The Cleaning and EXploration kit for Data Scientist.
Project description
CEX: Cleaning and EXploration kit for data scientist
| Package |   |
What is it?
The ultimate kit for Data Scientists to do data Cleaning and EXploration with 30+ built-in functions that can help data scientist to do data wrangling. This package aims to make data wrangling easier by calling a function to do specific task without having to do raw coding.
Features
- 30+ built-in functions for data cleaning and exploration
- Compatible with popular data science libraries such as pandas and numpy
- Comprehensive error handling and validation
Usage
Quick example:
import cex
import pandas as pd
df = pd.read_csv("data.csv")
cex.col_category_graph(df)
Result:
Source Code
The source code is located here
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 python-cex-0.0.6.tar.gz.
File metadata
- Download URL: python-cex-0.0.6.tar.gz
- Upload date:
- Size: 9.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
907377709a1dfabf1a29ef5707c95c46e0b5d97daadd692f28df6c20e4cd5f40
|
|
| MD5 |
e03033922e2b8ec993bde6b5ab18b002
|
|
| BLAKE2b-256 |
a18c2c40ca6048d88aaef82e31a7398662fe48501def919a621d3199f89e8de4
|
File details
Details for the file python_cex-0.0.6-py3-none-any.whl.
File metadata
- Download URL: python_cex-0.0.6-py3-none-any.whl
- Upload date:
- Size: 8.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8510c59c687762fdaebb64ea8384529f144d9b917c46e5701ffa3c5d13c5a64b
|
|
| MD5 |
c6f515ec99800eb3db25d839abc99ef0
|
|
| BLAKE2b-256 |
160bfec405e1426b16b5c6c9a8ddbbf2adec7e78c890fe03a71ea740bc71da42
|
