A library for generating dummy data in pandas DataFrames.
Project description
Gendummy
Gendummy is a Python library for generating dummy data in the form of pandas DataFrames. It provides functionality to create both automatic and manually specified DataFrames, as well as the ability to export these DataFrames to Excel files.
Features
- Generate DataFrames with random integers and floats.
- Manually specify data types for each column.
- Export generated DataFrames to Excel files.
Installation
To use the Gendummy library, ensure you have Python and pip installed, then install the required packages:
pip install pandas numpy openpyxl
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 gendummy-0.1.0.tar.gz.
File metadata
- Download URL: gendummy-0.1.0.tar.gz
- Upload date:
- Size: 2.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
605d77036f1dddb3f119d3d73e085d7144d31f5438e3f814efc6aab1cd2b0f31
|
|
| MD5 |
8d1c0eb3234bdf93bf5d104a4604fd30
|
|
| BLAKE2b-256 |
1d8a9a4859fb8389752bfe30d59026e69a0a49116095921c68415128f0a2a45c
|
File details
Details for the file gendummy-0.1.0-py3-none-any.whl.
File metadata
- Download URL: gendummy-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
667be3ebf7cf972934b32ea544a325da7d87ad29de8cd7877321c3e725366dd0
|
|
| MD5 |
c7200d43865b18be807d782715508e6f
|
|
| BLAKE2b-256 |
90f67343ab179f36c0a11ca32d03af9adf3146499bfc0d2ec3f8e5fdeb32facc
|