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Text
EXAMPLE GALLERY
Example Gallery ¶. Interactive legend plugin. NetworkX to d3.js Force Layout. Scatter Plot With Tooltips. Linked Brushing Example. Image with Mouse Position. Defining a Custom Plugin. mpld3 Logo Idea.Patches and Paths.
NOTEBOOK - MPLD3
This notebook gives a brief overview of mpld3, a package which allows seamless visualization of matplotlib plots using HTML, Javascript, and the D3js package. One of the nicest parts of the IPython notebook is the ability to embed figures inline with code. For example, we can quickly create a scatter plot as so: In : %matplotlib inlineAPI DOCUMENTATION
If not specified, the current active figure will be used. ip : string, default = ‘127.0.0.1’. the ip address used for the local server. port : int, default = 8888. the port number to use for the local server. If already in use, a nearby open port will be found (see n_retries) n_retries : int, default = 50.INTERACTIVE_LEGEND
This is the simplest use case for the plugin. We plot a few lines, instantiate the InteractiveLegendPlugin, and connect it to the figure. Note that we pass the labels for each of the lines explicitly. At the moment the label information of matplotlib is not passed along to D3. The plugin creates a legend to the right of the axes starting at theNOTEBOOK EXAMPLES
Bringing Matplotlib to the Browser Notebook Examples « HTML tooltip plugin :: Contents :: custom_widgin_general » HTML tooltip plugin :: Contents :: custom_widgin_general »PATCHES AND PATHS
Patches and Paths ¶. Patches and Paths. ¶. This is a demo adapted from a matplotlib gallery example. This example adds a custom D3 plugin allowing the user to drag the path control-points and see the effect on the path. Use the toolbar buttons at the bottom-right of the plot to enable zooming and panning, and to reset the view. IMAGE WITH MOUSE POSITION Image with Mouse Position¶. This example shows how mpld3 can display images using plt.imshow(). It also includes the mouse position plugin, so that the mouse coordinates are displayed inSLIDERPLUGIN
Simple example: slider plugin ¶. We add a simple slider HTML element to our figure. When slider position is changed, we call kernel.execute () and pass updated value to Python function runCalculation (). In this simple example we just update the frequency ω of sin. . ( ωx). In :
VISUALIZING RANDOM WALKS Visualizing Random Walks. ¶. This shows the use of transparent lines to visualize random walk data. Thre is also a custom plugin defined which causes lines to be highlighted when the mouse hovers over them. Use the toolbar buttons at the bottom-right of the plot to enable zooming and panning, and to reset the view. Python source code MPLD3_DEMO — BRINGING MATPLOTLIB TO THE BROWSER Demo of mpld3. ¶. This notebook gives a brief overview of mpld3, a package which allows seamless visualization of matplotlib plots using HTML, Javascript, and the D3js package. One of the nicest parts of the IPython notebook is the ability to embed figures inline with code. For example, we can quickly create a scatter plot as so:EXAMPLE GALLERY
Example Gallery ¶. Interactive legend plugin. NetworkX to d3.js Force Layout. Scatter Plot With Tooltips. Linked Brushing Example. Image with Mouse Position. Defining a Custom Plugin. mpld3 Logo Idea.Patches and Paths.
NOTEBOOK - MPLD3
This notebook gives a brief overview of mpld3, a package which allows seamless visualization of matplotlib plots using HTML, Javascript, and the D3js package. One of the nicest parts of the IPython notebook is the ability to embed figures inline with code. For example, we can quickly create a scatter plot as so: In : %matplotlib inlineAPI DOCUMENTATION
If not specified, the current active figure will be used. ip : string, default = ‘127.0.0.1’. the ip address used for the local server. port : int, default = 8888. the port number to use for the local server. If already in use, a nearby open port will be found (see n_retries) n_retries : int, default = 50.INTERACTIVE_LEGEND
This is the simplest use case for the plugin. We plot a few lines, instantiate the InteractiveLegendPlugin, and connect it to the figure. Note that we pass the labels for each of the lines explicitly. At the moment the label information of matplotlib is not passed along to D3. The plugin creates a legend to the right of the axes starting at theNOTEBOOK EXAMPLES
Bringing Matplotlib to the Browser Notebook Examples « HTML tooltip plugin :: Contents :: custom_widgin_general » HTML tooltip plugin :: Contents :: custom_widgin_general »PATCHES AND PATHS
Patches and Paths ¶. Patches and Paths. ¶. This is a demo adapted from a matplotlib gallery example. This example adds a custom D3 plugin allowing the user to drag the path control-points and see the effect on the path. Use the toolbar buttons at the bottom-right of the plot to enable zooming and panning, and to reset the view. IMAGE WITH MOUSE POSITION Image with Mouse Position¶. This example shows how mpld3 can display images using plt.imshow(). It also includes the mouse position plugin, so that the mouse coordinates are displayed inSLIDERPLUGIN
Simple example: slider plugin ¶. We add a simple slider HTML element to our figure. When slider position is changed, we call kernel.execute () and pass updated value to Python function runCalculation (). In this simple example we just update the frequency ω of sin. . ( ωx). In :
VISUALIZING RANDOM WALKS Visualizing Random Walks. ¶. This shows the use of transparent lines to visualize random walk data. Thre is also a custom plugin defined which causes lines to be highlighted when the mouse hovers over them. Use the toolbar buttons at the bottom-right of the plot to enable zooming and panning, and to reset the view. Python source code MPLD3 — BRINGING MATPLOTLIB TO THE BROWSER Source and Development¶. The source code for mpld3 can be found on GitHub.Please direct questions about how to do specific plots or interactions to Stack Overflow and tag them with mpld3 to make sure we see them. Pull requests, feature requests, and other ideas can be submitted via the GitHub page.SLIDERPLUGIN
Simple example: slider plugin ¶. We add a simple slider HTML element to our figure. When slider position is changed, we call kernel.execute () and pass updated value to Python function runCalculation (). In this simple example we just update the frequency ω of sin. . ( ωx). In :
CUSTOM_WIDGIN_GENERAL Blending IPython's widgets and mpld3's plugins. ¶. This notebook performs a function quite similar to the 'sliderPlugin' example. Browser side visualisation is actionable and triggers recalculations in the ipython backend. While the sliderPlugin connects to the kernel,we
INTERACTIVE LEGEND PLUGIN Interactive legend plugin. ¶. This is a demonstration of how to add an interactive legend to data plots. The Plugin is defined within mpld3. The user provides how select/unselect and legend overlay will affect the alpha parameter of associated objects. You can also controlhow to
HTML TOOLTIP PLUGIN
HTML tooltip plugin. ¶. This is a demonstration of how to add rich HTML annotations to data plots. The Plugin is defined within mpld3, and the user-provided CSS controls the format of the information shown on hover. Use the toolbar buttons at the bottom-right of the plot to enable zooming and panning, and to reset the view. -2.0 -1.5 -1.0 -0.5 NOTEBOOK - GITHUB PAGES Legends for different axes¶. By default, the legend is shown to the right of the first axes. However, through the use of the optional keyword argument 'ax', we can specify the axes to the right of which the legend will be shown. DRAGGABLE POINTS EXAMPLE Draggable Points Example¶. This example shows how a D3 plugin can be created to make plot elements draggable. A stopPropagation command isused to allow the
LINKED BRUSHING EXAMPLE Linked Brushing Example. ¶. This example uses the standard Iris dataset and plots it with a linked brushing tool for dynamically exploring the data. The paintbrush button at the bottom left can be used to enable and disable the behavior. Python source code: import numpy as np import matplotlib import NETWORKX TO D3.JS FORCE LAYOUT Bringing Matplotlib to the Browser NetworkX to d3.js Force Layout « Interactive legend plugin :: Contents :: Scatter Plot With Tooltips » Interactive legend plugin :: Contents :: Scatter Plot With Tooltips » NOTEBOOK - GITHUB PAGES This notebook performs a function quite similar to the 'sliderPlugin' example. Browser side visualisation is actionable and triggers recalculations in the ipython backend. While the sliderPlugin connects to the kernel, we use IPython's facilities : interact does the lifting for us. Because you need an IPython instance running, you cannot useit
BRINGING MATPLOTLIB TO THE BROWSERMPLD3
Contents :: Quick Start Guide »MPLD3¶
The mpld3 project brings together Matplotlib , the popular Python-based graphing library, and D3js , the popular JavaScript library for creating interactive data visualizations for the web. The result is a simple API for exporting your matplotlib graphics to HTML code which can be used within the browser, within standard web pages, blogs, or tools such as the IPython notebook.
See the Example Gallery or Notebook Examples for some interactive demonstrations of mpld3 in action. For a quick overview of the package, see the Quick Start Guide.
CONTENTS¶
* Quick Start Guide
* General Functions
* IPython Notebook Functions * Saving Figures to File* Plugins
* Installing mpld3
* Installing released versions * Installing from git * Building JavaScript Sources* Dependencies
* Frequently Asked Questions* General
* IPython Notebook
* JavaScript
* Troubleshooting
* Plugins
* Example Gallery
* Notebook Examples
* custom_widgin_general* custom_plugins
* sliderPlugin
* mpld3_demo
* interactive_legend* API documentation
* Interactive D3 rendering of matplotlib images * Plugins to add behavior to mpld3 charts* mpld3 renderer
* mpld3 Utilities
* mpld3 URLs
SOURCE AND DEVELOPMENT¶ The source code for mpld3 can be found on GitHub . Please direct questions about how to do specific plots or interactions to Stack Overflow and tag them with _mpld3_ to make sure we see them. Pull requests, feature requests, and other ideas can be submitted via the GitHub page. INDICES AND TABLES¶* Index
* Module Index
* Search Page
Contents :: Quick Start Guide » Copyright 2014, mpld3 developers. Created using Sphinx1.4.8.
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