A Python package for data preparation tasks.
Project description
DataPrepKitP
A Python library for data preparation tasks.
Features
Read data from CSV, Excel, and JSON files. Summarize data with statistical measures. Handle missing values by removing or imputing. Encode categorical data using one-hot encoding.
Installation
pip install DataPrepKitP
Usage
import DataPrepKitP as dp
Read data from a CSV file
data = dp.read_data('data.csv')
Summarize the data
dp.data_summary(data)
Handle missing values by imputing with the mean
data = dp.handle_missing_values(data, strategy='mean')
Encode categorical data
data = dp.encode_categorical_data(data, 'column_name')
License
This project is licensed under the MIT License.
Contact
If you have any questions or suggestions, please feel free to contact me at roqaiahjamil@gmail.com.
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 DataPrepKitP-0.1.1.tar.gz.
File metadata
- Download URL: DataPrepKitP-0.1.1.tar.gz
- Upload date:
- Size: 3.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
326836b4c993b0f3c47b3b6b12cd6a1a731da5d7734f7aa773bb19c33be88dd6
|
|
| MD5 |
113f6e76106604f121c2bee9fde1ff84
|
|
| BLAKE2b-256 |
a1c11cd4106f46893835fc4871395497c6c9a77e7cd3c7dc564672ab24ef850f
|
File details
Details for the file DataPrepKitP-0.1.1-py3-none-any.whl.
File metadata
- Download URL: DataPrepKitP-0.1.1-py3-none-any.whl
- Upload date:
- Size: 3.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b66df277771561ad0cd339f66103f5e7e3269dcd2ca15b50634d729916118a65
|
|
| MD5 |
bc9e38f2f83e4f7e65879fa664da3e62
|
|
| BLAKE2b-256 |
53b04d6f71f4000d8ea0568169af4e4a8525d2cd9a9afbeefbdbabc0e69295b2
|
