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[[https://plotly/|Plotly]] is a collaborative, web-based graphing and analytics platform. |
[[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 styled with Python and a GUI, and shared with a URL for others to view, collaborate, or save a copy. | 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. |
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Users can install and sign up for Plotly from the terminal (see [[plot.ly/api/python|documentation]] for walk-through and sign-up steps). |
Users can install and sign up for Plotly from the terminal. See [[https://plot.ly/api/python|documentation]] for walk-through and sign-up steps: [[https://plot.ly/api/python]]. |
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Plotly also integrates with IPython to create interactive graphs in a Notebook. A few examples: * [[http://nbviewer.ipython.org/gist/jackparmer/7729584|Bubble Charts and Hover Text]] * [[http://nbviewer.ipython.org/gist/cparmer/7721116|NumPy and Datetime]] * [[http://nbviewer.ipython.org/gist/cparmer/7576511|Plotly Gallery]] * [[http://nbviewer.ipython.org/gist/nipunreddevil/7734529|Pandas and Plotly]] * [[http://nbviewer.ipython.org/gist/cparmer/7628933|Multiple Axes, subplots, and insets]] * [[http://nbviewer.ipython.org/gist/bpostlethwaite/7551139|Plotly with IJulia]] |
Plotly also integrates with IPython to create interactive graphs in a Notebook. A few examples are available in [[nbviewer.ipython.org/github/plotly/IPython-plotly/tree/master/|the gallery]] that show how to use LaTeX, GapMinder bubble charts, NumPy, pandas, datetime, and MATLAB in IPython. |
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| * [[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]]. |
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| * [[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: https://plot.ly/api/python.
$ 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 are available in the gallery that show how to use LaTeX, GapMinder bubble charts, NumPy, pandas, datetime, and MATLAB in IPython.
Useful Links
You can download the latest version here.
The Python library and IPython examples can be found on GitHub.