Generate multifunctional GUIs from classes
Project description
magic-class
magic-class makes GUI development as easy as daily coding by converting well-typed Python class directly into GUI. It is powered by magicgui and has a smooth interface with napari. magic-class is also implemented with useful widgets such as matplotlib figure canvas, logger widget and color edit.
Target users
- Researchers who already have their Python functions and classes and are planing to take a step forward to improve the interface using GUI, with minimum effort.
- Non-professional programmers who don't want to spend time on debugging and maintaining GUI.
- Users who are not satisfied with the low reproducibility of the most of the GUI.
- People who are familiar with
magicguiand interested in more sophisticated GUI using typing.
How magic-class solves your problems
- Decorate your class with
@magicclassand you are ready to use the class both in GUI and from console. @magicclassimplements macro-recorder in the class. You can easily create executable Python codes from the history of manual operations.- Your code looks almost "Pythonic". No need to be confused by messy class structure pecuilar to GUI development anymore.
magic-class is work in progress. Feel free to report issues, make suggestions and contribute!
Documentation
Documentation is available here.
Installation
- use pip
pip install magic-class -U
pip install magic-class[pyqt5] -U # with pyqt5 backend
- get the latest version
pip install git+https://github.com/hanjinliu/magic-class.git
Example
Let's make a simple GUI that can load 1-D data and plot it.
from magicclass import magicclass
from pathlib import Path
@magicclass
class PlotData:
"""Load 1D data and plot it."""
def load(self, path: Path):
"""
Load file.
Parameters
----------
path : Path
File path
"""
self.data = np.loadtxt(str(path))
def plot(self):
"""Plot data."""
plt.plot(self.data)
plt.show()
Classes decorated with @magicclass are converted to magicgui's Container widgets. GUI starts with show method.
ui = PlotData(title="Title")
ui.show()
You can continue analysis in console.
ui.plot()
For people doing image analysis, it can be added to a napari viewer as a dock widget.
import napari
viewer = napari.Viewer()
viewer.window.add_dock_widget(ui)
Executable Python code (so called "macro" in many GUI tools) is available in macro attribute.
print(ui.macro) # print macro
ui.macro.widget.show() # open a text editor widget with macro written in
To make nicer GUI, you can also nest magic-class:
@magicclass
class PlotData:
@magicclass
class Menu: ...
add a menubar with @magicmenu decorator:
@magicclass
class PlotData:
@magicmenu
class File: ...
@magicmenu
class Edit: ...
add context menu with @magiccontext decorator:
@magicclass
class PlotData:
@magiccontext
class contextmenu: ...
def Copy(self): ...
def Paste(self): ...
directly integrate magicgui and its widgets:
@magicclass
class PlotData:
line = LineEdit()
@magicgui
def load(self, path: Path): ...
... and so on.
Other examples are in the "examples" folder.
Project details
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