Graphs in a browser! An API to generate plots and graphs on https://plot.ly. Example graph: https://plot.ly/~chris/407/
Project description
plotly
------
plot.ly is a browser-based data visualization tool that creates interactive and publication quality figures.
This API allows Python users to generate plot.ly graphs from their desktop.
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/
Plotly Features
------------
- Send data to your Plotly account through this API
- View and style graphs interactively in your browser
- Export to PNG, SVG, EPS, PDF
- Share graphs through links, Facebook, and Twitter
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
-------------
Full documentation and examples at https://plot.ly/API
------
plot.ly is a browser-based data visualization tool that creates interactive and publication quality figures.
This API allows Python users to generate plot.ly graphs from their desktop.
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/
Plotly Features
------------
- Send data to your Plotly account through this API
- View and style graphs interactively in your browser
- Export to PNG, SVG, EPS, PDF
- Share graphs through links, Facebook, and Twitter
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
-------------
Full documentation and examples at https://plot.ly/API
Project details
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