Kivy matplotlib

Kivy matplotlib DEFAULT


Changed in version 1.11.1.

Garden is a project to centralize addons for Kivy maintained by users. You can find more information at Kivy Garden. All the garden packages are centralized on the kivy-garden Github repository.


The garden flower widgets are contributed by regular users such as yourself. The kivy developers do not take any responsibility for the code hosted in the garden organization repositories - we do not actively monitor the flower repos. Please use at your own risk.

Update to garden structure¶

Starting with the kivy 1.11.0 release, kivy has shifted from using the garden legacy tool that installs flowers with garden install flower where the flower does not have a proper python package structure to flowers that can be installed with pip and uploaded to pypi. Kivy supports the legacy garden flowers side by side with the newer packages so the garden tool and legacy flowers will be able to be used indefinitely. But we will only provide support for the newer packages format in the future.

For garden package maintainers - for a guide how to migrate your garden package from the legacy structure garden.flower to the newer flower structure used with the pip, see this guide.

We hope most garden packages will be converted to the newer format to help with installation.

General Usage Guidelines¶

To use a kivy garden flower, first check if the flower is in the legacy format. If the flower name is in the format of garden.flower, such as garden.graph it is a legacy flower. If it is just flower such as graph it is in the present format. If it is in the legacy format see Legacy garden tool instructions for how to install and use it. Otherwise, continue with the guide below.

Garden flowers can now be installed with the pip tool like a normal python package. Given a flower that you want to install, lets use graph as an example. You can install master directly from github with:


Look under the repository’s releases tab if you’d like to install a specific release or a pre-compiled wheel, if the flower has any. Then use the url with pip.

Or you can automatically install it using garden’s pypi server with:


To permanently add our garden server to your pip configuration so that you don’t have to specify it with –extra-index-url, add:


to your pip.conf.

If the flower maintainer has uploaded the flower to pypi, you can just install it with pip install kivy_garden.flower.



Simple widget to display a Matplotlib Figure in kivy. Also a basic toolbar widget to pan and zoom the plot. Android/IOS not supported (until matplotlib can be ported to those systems)

Basic example

importmatplotlibasmplfromkivy_matplotlibimportMatplotFigurefromkivy.baseimportrunTouchApp# Make plotfig=mpl.figure.Figure(figsize=(2, 2)) fig.gca().plot([1, 2, 3]) # MatplotFigure (Kivy widget)fig_kivy=MatplotFigure(fig) runTouchApp(fig_kivy)

Example with Toolbar

importmatplotlibasmplfromkivy.appimportAppimportnumpyasnpfromkivy.langimportBuilderfromkivy_matplotlibimportMatplotFigure, MatplotNavToolbarkv="""BoxLayout:orientation: 'vertical'MatplotFigure: id: figure_wgt size_hint: 1, 0.7MatplotNavToolbar: id: navbar_wgt size_hint: 1, 0.3 figure_widget: figure_wgt"""classtestApp(App): title="Test Matplotlib"defbuild(self): # Matplotlib stuff, figure and plotfig=mpl.figure.Figure(figsize=(2, 2)) t=np.arange(0.0, 100.0, 0.01) s=np.sin(0.08*np.pi*t) axes=fig.gca() axes.plot(t, s) axes.set_xlim(0, 50) axes.grid(True) # Kivy stuffroot=Builder.load_string(kv) figure_wgt=root.ids['figure_wgt'] # MatplotFigurefigure_wgt.figure=figreturnroottestApp().run()
  • Kivy (>1.8)
  • Matplotlib (>1.4)

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How to add Matplotlib graph in Kivy ?

In this article, we will discuss how to add matplotlib graph in the kivy app.


  • Import matplotlib pyplot
  • Import numpy
  • Import FigureCanvas KivyAgg
  • Import kivy app
  • Import kivy builder
  • Create App class
  • Return builder string
  • Run an instance of the class

Below is the Implementation.

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Note: When you run the below code this may throw the error given below

What you have to do is open the file given in the white box by clicking on file while holding ctrl key and comment line underlined by green color in that file and hit save now you will be able to run it!!

My Personal Notesarrow_drop_up
Which is Better Kivy Or Tkinter? - Python Kivy GUI Tutorial #42
'''Backend Kivy=====.. image:: images/backend_kivy_example.jpg :align: rightThe :class:`FigureCanvasKivy` widget is used to create a matplotlib graph.This widget has the same properties as:class:`kivy.ext.mpl.backend_kivyagg.FigureCanvasKivyAgg`. FigureCanvasKivyinstead of rendering a static image, uses the kivy graphics instructions:class:`` and :class:`` to render on thecanvas.Installation------------The matplotlib backend for kivy can be used by using the garden extension inkivy following this .. _link: :: garden install matplotlibOr if you want to include it directly on your application :: cd myapp garden install --app matplotlibInitialization--------------A backend can be initialized in two ways. The first one is using pure pyplotas explained.. _here: import matplotlib matplotlib.use('module://')Once this is done, any figure instantiated after will be wrapped by a:class:`FigureCanvasKivy` ready to use. From here there are two options tocontinue with the development.1. Use the :class:`FigureCanvasKivy` attribute defined as canvas from Figure,to embed your matplotlib graph in your own Kivy application as can be seen inthe first example in the following section... warning:: One can create a matplotlib widget by importing FigureCanvas:: from import FigureCanvas or from import FigureCanvas and then instantiate an object:: fig, ax = plt.subplots() my_mpl_kivy_widget = FigureCanvas(fig) which will certainly work but a problem will arise if events were connected before the FigureCanvas is instantiated. If this approach is taken please connect matplotlib events after generating the matplotlib kivy widget object :: fig, ax = plt.subplots() fig.canvas.mpl_connect('button_press_event', callback_handler) my_mpl_kivy_widget = FigureCanvas(fig) In this scenario button_press_event won't be connected with the object being created in line 3, because will be connected to the default canvas set by matplotlib. If this approach is taken be sure of connecting the events after instantiation like the following: :: fig, ax = plt.subplots() my_mpl_kivy_widget = FigureCanvas(fig) fig.canvas.mpl_connect('button_press_event', callback_handler)2. Use pyplot to write the application following matplotlib sintax as can beseen in the second example below. In this case a Kivy application will becreated automatically from the matplotlib instructions and a NavigationToolbarwill be added to the main canvas.Examples--------1. Example of a simple Hello world matplotlib App:: fig, ax = plt.subplots() ax.text(0.6, 0.5, "hello", size=50, rotation=30., ha="center", va="center", bbox=dict(boxstyle="round", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8), ) ) ax.text(0.5, 0.4, "world", size=50, rotation=-30., ha="right", va="top", bbox=dict(boxstyle="square", ec=(1., 0.5, 0.5), fc=(1., 0.8, 0.8), ) ) canvas = fig.canvasThe object canvas can be added as a widget into the kivy tree widget.If a change is done on the figure an update can be performed using:meth:`~kivy.ext.mpl.backend_kivyagg.FigureCanvasKivyAgg.draw`.:: # update graph canvas.draw()The plot can be exported to png with:meth:`~kivy.ext.mpl.backend_kivyagg.FigureCanvasKivyAgg.print_png`, as anargument receives the `filename`.:: # export to png canvas.print_png("my_plot.png")2. Example of a pyplot application using matplotlib instructions:: import numpy as np import matplotlib.pyplot as plt N = 5

Matplotlib kivy

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Matplotlib Tutorial (Part 9): Plotting Live Data in Real-Time

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