ProjectFrame for data manipulation
This is a Python package for easy and efficient manipulation of multiple DataFrame-like objects.
Install
If you dont already have numpy and scipy installed, it is best to download
Anaconda, a python distribution that has them included.
https://continuum.io/downloads
Dependencies can be installed by:
pip install -r requirements.txt
PyPI install, presuming you have all its requirements installed:
pip install projectframe
Usage
from projectframe import ProjectFrame
import numpy as np
# Create data
pf = ProjectFrame()
1 maintainer
Metadata
1 maintainer
Release files for projectframe 1.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| projectframe-1.0.8.tar.gz | 16.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| projectframe-1.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.1 kB
Release files / projectframe-1.0.8.tar.gz
| Download URL | projectframe-1.0.8.tar.gz |
|---|---|
| Size | 16.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.2.1 CPython/3.13.9 Darwin/25.6.0
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Release files / projectframe-1.0.8-py3-none-any.whl
| Download URL | projectframe-1.0.8-py3-none-any.whl |
|---|---|
| Size | 20.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.2.1 CPython/3.13.9 Darwin/25.6.0
|
