A Python toolkit for simplifying dataset preparation and preprocessing
Project description
datasetops
A Python toolkit for simplifying dataset preparation and preprocessing.
Installation
pip install datasetops
Usage
from datasetops import DatasetOps
ds = DatasetOps("data.csv")
ds.summary()
ds.missing_report()
ds.remove_duplicates()
ds.normalize()
ds.encode_categorical()
ds.save_csv("clean_data.csv")
Features
- Load CSV, Excel, JSON datasets
- Dataset summary and inspection
- Missing value detection and filling
- Duplicate detection and removal
- Normalization and standardization
- Categorical encoding
- Correlation analysis
- Outlier detection
- Visualization (histogram, boxplot, scatter, heatmap)
- Export to CSV and Excel
Project details
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 datasetops_toolkit-0.1.0.tar.gz.
File metadata
- Download URL: datasetops_toolkit-0.1.0.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3ef9ddc8f1f4671ab43a93ef316990613014e6a1b7c966d0151e8690f52067ea
|
|
| MD5 |
b8c97d51041c59caeb4d30cfcd10c22c
|
|
| BLAKE2b-256 |
e06475aae3674a6386c0376200db387dcc9961cfe5da73cd59c45d87a1665887
|
File details
Details for the file datasetops_toolkit-0.1.0-py3-none-any.whl.
File metadata
- Download URL: datasetops_toolkit-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0d970195f98de8e6909aec61e6d559299fbe23a1813331daf7c114e835398e44
|
|
| MD5 |
b733d19fe5829cc31e1084971244ca88
|
|
| BLAKE2b-256 |
3626f940ef76051976856b5eef088106a4994eb6fe8ccf26ef16fa4038e50e70
|