A simple program to parse and clean date string to standardized date string dd-mmm-yyyy. Useful in pre-processing prior to conversion to proper date data type.
Project description
FixDates - Timestamp Data Clean Up Tool
FixDates is a Python project that provides a clean up tool for converting timestamp data written in various text formats into a proper timestamp format. It serves as the engine for cleaning up timestamp data and can be integrated into more comprehensive data clean up tools or scripts.
Features
- Converts timestamp data from various text formats into a standardized timestamp format.
- Handles different timestamp formats, including date and time formats.
- Provides flexibility to customize the cleaning process based on specific requirements.
- Supports integration with other data clean up tools or scripts.
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
fixdates-0.0.11.tar.gz
(4.6 kB
view details)
Built Distribution
File details
Details for the file fixdates-0.0.11.tar.gz
.
File metadata
- Download URL: fixdates-0.0.11.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dc7f71a44c462ef1e763163b3d43a2589fe306ab2dc110ff32c6720f186986ad |
|
MD5 | 3455c5fe827228a3441562d1ee0e6fd8 |
|
BLAKE2b-256 | 4637da5ce40ec861586e9fb6944204351878ad9a0920d81e80177b1bf29d0461 |
File details
Details for the file fixdates-0.0.11-py3-none-any.whl
.
File metadata
- Download URL: fixdates-0.0.11-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b41fa4084e807de9aab4cbf3322693b7b7c0fe8be895c1110292cb506b4c3a47 |
|
MD5 | 05052ebeabea53c6f6f17104dafb116b |
|
BLAKE2b-256 | 10f9a01705d91dab8e2c876d11a9f6ea841c4ef8ed373715a3f53a9c3b895571 |