exporting notebooks to PDF with high-quality vector images). QtConsole, Spyder, P圜harm) and static document publishing (e.g. Thanks to deep integration with our Kaleido image export utility, plotly also provides great support for non-web contexts including desktop editors (e.g. The plotly Python library is sometimes referred to as 'plotly.py' to differentiate it from the JavaScript library. If you like this project remember to leave a ⭐! And if you want to give more support you can Buy Me A Coffee.The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.īuilt on top of the Plotly JavaScript library ( plotly.js), plotly enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash. The latest changes will be on the develop branch, and will be occasionally merged to master as a release with a tag indicating the version number and published to PyPi. This project is still in version 0.x.y and subject to breaking changes. Issues, feedback and pull requests are welcome.

View DataFrames and Series (with MultiIndex support).

You can also import all_datasets which is a dictionary of all sample datasets like Dict from pandasgui import show from pandasgui.datasets import pokemon, titanic, all_datasets show ( pokemon, titanic ) show ( ** all_datasets ) Features PandasGUI comes with sample datasets that will download on first use.

Install directly from Github for the latest unreleased changes: pip install git+Ĭreate and view a simple DataFrame import pandas as pd from pandasgui import show df = pd.

Install latest release from PyPi: pip install pandasgui PandasGUI is a GUI for viewing, plotting and analyzing Pandas DataFrames.

Pandas install