Python plotting library for collaborative, interactive, publication-quality graphs.
Use this package to make collaborative, interactive, publication-quality graphs from Python.
Here’s how you import:
import plotly.plotly as py # for sending things to plotly import plotly.tools as tls # for mpl, config, etc. from plotly.graph_objs import * # __all__ is safely defined
Here’s how you sign in:
py.sign_in('PythonAPI', 'ubpiol2cve') # get your own at https://plot.ly/
Here’s how you plot data or a figure:
Here’s what you get:
- an account on plotly
- a unique url for your data/figures
- an interactive web-application to edit your figure or make new figures
- a platform on which to share your data/figures with the world
You can also convert supported matplotlib figures:
Stop fighting with your figures; start designing them. Check out our Quickstart to get going.
Plotly is an online collaborative data analysis and graphing tool. The Python API allows you to access all of Plotly’s functionality from Python. Plotly figures are shared, tracked, and edited all online and the data is always accessible from the graph.
That’s it. Find out more, sign up, and start sharing by visiting us at https://plot.ly.
Install via pip
Assuming you have already installed pip, you can simply enter the following in a terminal program:
$ pip install plotly
If you want to contribute to making Plotly’s Python API experience better, head to our GitHub repo. Instructions for installing from here, updating the included submodules, and contributing are detailed there!
Plotly, matplotlib, and mpld3
The matplotlylib sub-package allows you to convert matplotlib figures to plotly figures, with a one-liner:
Checkout the Plotly and mpld3 IPython notebook for more information.
Introduction to working with out API
Checkout the Plotly and Python IPython notebook to get a more in depth exposition of our Python API.
Plotly’s guide book
Still here? Don’t worry, we’ve got more documentation for you. Checkout a highly complete set of notebooks for walk-throughs on all the features we offer!
The plotly package depends on requests, which will be installed by pip for you.
To use the matplotlylib subpackage, you’ll also need to have matplotlib 1.3.1 properly installed on your machine.
The matpotlylib package is based on the mplexporter framework for crawling and exporting matplotlib images.