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Plotly is a collaborative, web-based graphing and analytics platform. = Overview =
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The [[https://plot.ly/|Plotly web interface]] allows users to import and analyze data with a Python shell (NumPy supported) and datagrid. A Python environment and GUI allow users to create and style interactive, web-based graphs (''[[https://plot.ly/~bchartoff/344/|see e.g.]]''). Python scripts can be saved, shared, and collaboratively edited in Plotly. [[https://plotly/|Plotly]] is a collaborative, web-based graphing and analytics platform.
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The [[https://plot.ly/api/python/|Plotly Python graphing library]] is a scientific graphing library. Graphs can be made with Python and a GUI, and shared with a URL for others to view, collaborate, or save a copy. The package is available [[https://pypi.python.org/pypi?name=plotly&version=0.5.2&:action=display|here]] and on [[https://github.com/plotly/python-api|GitHub]]. Plotly can be installed from the terminal in two ways (see [[plot.ly/api/python|documentation]] for walk-through and sign-up steps). === Plotting Library and Web App ===

[[https://plot.ly/|Plotly]] allows users to import, copy and paste, or stream data to be analyzed and visualized. For analysis and styling graphs, Plotly offers a Python sandbox (NumPy supported), datagrid, and GUI. Python scripts can be saved, shared, and collaboratively edited in Plotly.

The [[https://plot.ly/api/python/|Plotly Python graphing library]] is a scientific graphing library. Graphs can be styled with Python and a GUI, and shared with a URL for others to view, collaborate, or save a copy.

=== Installation ===

Users can install and sign up for Plotly from the terminal (see [[plot.ly/api/python|documentation]] for walk-through and sign-up steps).
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=== Using Plotly and IPython ===
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=== Useful Links ===

 * [[https://plot.ly/api|Documentation and gallery]]
 * You can download the latest version [[https://pypi.python.org/pypi/plotly|here]].
 * The Python library and IPython examples can be found on [[https://github.com/plotly/python-api|GitHub]].

Overview

Plotly is a collaborative, web-based graphing and analytics platform.

Plotting Library and Web App

Plotly allows users to import, copy and paste, or stream data to be analyzed and visualized. For analysis and styling graphs, Plotly offers a Python sandbox (NumPy supported), datagrid, and GUI. Python scripts can be saved, shared, and collaboratively edited in Plotly.

The Plotly Python graphing library is a scientific graphing library. Graphs can be styled with Python and a GUI, and shared with a URL for others to view, collaborate, or save a copy.

Installation

Users can install and sign up for Plotly from the terminal (see documentation for walk-through and sign-up steps).

  $ pip install plotly

or

  $ easy_install plotly

Using Plotly and IPython

Plotly also integrates with IPython to create interactive graphs in a Notebook. A few examples:


CategoryPythonInScience

Plotly (last edited 2014-02-12 11:16:20 by Matt Sundquist)

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