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:
In this article, we will discuss how to add matplotlib graph in the kivy app.
Import matplotlib pyplot
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!!
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Matplotlib Tutorial (Part 9): Plotting Live Data in Real-Time
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