Skip to main content

Utilities to use pandas (the data analysis / manipulation library for Python) with Qt.

Project description

# QtPandas

### Utilities to use pandas (the data analysis/manipulation library for Python) with Qt.

## Project Information

[![Join the chat at https://gitter.im/qtpandas/Lobby#](https://badges.gitter.im/qtpandas/lobby.svg)](https://gitter.im/qtpandas/Lobby#)

## Build Status

[![Travis status](https://travis-ci.org/draperjames/QtPandas.svg?branch=master)](https://travis-ci.org/draperjames/QtPandas)

Requirements;
> Python 3.x
> Pandas 20.0
> PyQt 4.7.8

To install run the following in the command prompt;
```
pip install git+https://github.com/zbarge/QtPandas.git
pip install --upgrade git+https://github.com/robertlugg/easygui.git
```

To use, create a new Python script containing the following:
```
from PyQt4.QtCore import *
from PyQt4.QtGui import *

from panqt.views.CSVDialogs import CSVImportDialog

if __name__ == "__main__":
from sys import argv, exit

app = QApplication(argv)
dialog = CSVImportDialog()
dialog.show()
app.exec_()
```
Several examples can also be found in the exmples directory.

# Development

## Wanna contribute?

Join us on [gitter](https://gitter.im/qtpandas/Lobby#)

### TO DO:
- [x] Reach out to @kaotika and @datalyze-solutions
- [ ] Secure qtpandas namespace on pip.
- [ ] Wait for reply
- [ ] If no reply create new repo for QtPandas.
- [x] Create .travis.yml file.
- [x] integrate into README.md
- [ ] Add documentation.
- [ ] Add screen shots
- [ ] Create Wiki
- [ ] Make verison agnostic.
- [ ] Create specific Python version tests.
- [ ] Add Windows, Apple, and Linux tests.
- [ ] Consider adding functions seen in [Spyder IDE's dataframeeditor](https://github.com/spyder-ide/spyder/blob/f2b36f00f873cf4080087bfb529e6256b3e24792/spyder/widgets/variableexplorer/dataframeeditor.py)
- [ ] Sort
- [ ] Color coding


Forked from @datalyze-solutions's [master](https://github.com/datalyze-solutions/panqt).


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

panqt-0.2.2.tar.gz (954.3 kB view hashes)

Uploaded source

Built Distribution

panqt-0.2.2-py3-none-any.whl (994.0 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page