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  • Last upload: 6 years and 10 months ago

Installers

pip install

To install this package run one of the following:
pip install -i https://pypi.anaconda.org/charles.essi/simple plotly

Description

======= plotly: ======= -------------------------- It's all about the graphs. --------------------------

    The Nutshell
    ~~~~~~~~~~~~

    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::

        py.plot(data_or_figure_here)

    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::

        py.plot_mpl(mplfig)

    Stop fighting with your figures; start designing them. Check out our
    Quickstart_ to get going.


    About
    ~~~~~

    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

    Contributing!
    ~~~~~~~~~~~~~

    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::

        py.plot_mpl(fig)

    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!

    Details
    ~~~~~~~

    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.

    Created by: Plotly_, `@plotlygraphs`_, `[email protected]`_

    License: MIT

    .. _Plotly: https://plot.ly
    .. _Quickstart: https://plot.ly/python
    .. _GitHub repo: https://github.com/plotly/python-api
    .. _Plotly and mpld3: https://plot.ly/python/matplotlib-to-plotly-tutorial/
    .. _Plotly and Python: https://plot.ly/python/overview/
    .. _set of notebooks: https://plot.ly/python/user-guide/
    .. _plotly profile: https://plot.ly/~mpld3/
    .. _@plotlygraphs: https://twitter.com/plotlygraphs
    .. [email protected]: [email protected]

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