Plotly Scientific Graphing Library. Interactive graphs in the browser - a modern, drop-in alternative for matplotlib
Project description
plotly
------
Plotly (https://plot.ly) is a collaborative data analysis and graphing web-application.
This API allows Python users to generate Plotly graphs from their desktop Python environment.
Calls to Plotly generate and save a plot in your Plotly account and return a unique URL
with your interactive graph.
Example Graphs
--------------
Scatter - https://plot.ly/~chris/514/
Scatter + Line - https://plot.ly/~jackp/614/
Stacked Bar - https://plot.ly/~jackp/655/
Grouped Bar - https://plot.ly/~jackp/540/700/500/
2D Histogram + Scatter - https://plot.ly/~chris/497/
1D Histogram - https://plot.ly/~chris/429/
Line - https://plot.ly/~jackp/645/
Area - https://plot.ly/~jackp/621/
Heatmap - https://plot.ly/~jackp/620/
Error Bars - https://plot.ly/~chris/421/
Box Plots - https://plot.ly/~jackp/683/
Plotly Features
------------
- Send data to your Plotly account through this API
- View and style graphs interactively in your browser - no code required!
- Export to PNG, SVG, EPS, PDF
- Share graphs publicly through links, Facebook, and Twitter
- Share graphs privately between collaborators within Plotly
- Annotate graphs with text and arrows
- Sync data with Dropbox and Google Drive
- Endless color and opacity options
Example Workflow:
---------------
1. Collect or generate some data in your Python environment
2. Send data to plot.ly through this plotly package
3. View interactive graph in your browser, e.g.: https://plot.ly/~chris/407/
4. Style graph in the Plotly GUI
5. Share graph by shortlink, Facebook, or Twitter
6. Export to PNG, PDF, EPS, SVG
Documentation and Tutorials
---------------------------
Documentation and examples at https://plot.ly/api/python
Contact
-------
Feel free to get in touch at chris[at]plot.ly with any suggestions, issues, or questions.
------
Plotly (https://plot.ly) is a collaborative data analysis and graphing web-application.
This API allows Python users to generate Plotly graphs from their desktop Python environment.
Calls to Plotly generate and save a plot in your Plotly account and return a unique URL
with your interactive graph.
Example Graphs
--------------
Scatter - https://plot.ly/~chris/514/
Scatter + Line - https://plot.ly/~jackp/614/
Stacked Bar - https://plot.ly/~jackp/655/
Grouped Bar - https://plot.ly/~jackp/540/700/500/
2D Histogram + Scatter - https://plot.ly/~chris/497/
1D Histogram - https://plot.ly/~chris/429/
Line - https://plot.ly/~jackp/645/
Area - https://plot.ly/~jackp/621/
Heatmap - https://plot.ly/~jackp/620/
Error Bars - https://plot.ly/~chris/421/
Box Plots - https://plot.ly/~jackp/683/
Plotly Features
------------
- Send data to your Plotly account through this API
- View and style graphs interactively in your browser - no code required!
- Export to PNG, SVG, EPS, PDF
- Share graphs publicly through links, Facebook, and Twitter
- Share graphs privately between collaborators within Plotly
- Annotate graphs with text and arrows
- Sync data with Dropbox and Google Drive
- Endless color and opacity options
Example Workflow:
---------------
1. Collect or generate some data in your Python environment
2. Send data to plot.ly through this plotly package
3. View interactive graph in your browser, e.g.: https://plot.ly/~chris/407/
4. Style graph in the Plotly GUI
5. Share graph by shortlink, Facebook, or Twitter
6. Export to PNG, PDF, EPS, SVG
Documentation and Tutorials
---------------------------
Documentation and examples at https://plot.ly/api/python
Contact
-------
Feel free to get in touch at chris[at]plot.ly with any suggestions, issues, or questions.
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