In this article we will see how we can set the minimum window size in PYGLET module in python. Pyglet is easy to use but powerful library for developing visually rich GUI applications like games, multimedia etc. A window is a “heavyweight” object occupying operating system resources. Windows may appear as floating regions or can be set to fill an entire screen (fullscreen). Once minimum size is set, the user will not be able to resize the window smaller than the given dimensions. There is no way to remove the minimum size constraint on a window (but you could set it to 0, 0). The behaviour is undefined if the minimum size is set larger than the current size of the window.
We can create a window with the help of command given below
pyglet.window.Window(width, height, title)
In order to create window we use
set_minimum_sizemethod with the window objectSyntax : window.set_minimum_size(width, height)
Argument : It takes two integer as argument
Return : It returns None
Below is the implementation
# importing pyglet module import pyglet import pyglet.window.key # width of window width = 500 # height of window height = 500 # caption i.e title of the window title = "Geeksforgeeks" # creating a window window = pyglet.window.Window(width, height, title) # text text = "GeeksforGeeks" # creating a label with font = times roman # font size = 36 # aligning it to the centre label = pyglet.text.Label(text, font_name ='Times New Roman', font_size = 36, x = window.width//2, y = window.height//2, anchor_x ='center', anchor_y ='center') # on draw event @window.event def on_draw(): # clearing the window window.clear() # drawing the label on the window label.draw() # key press event @window.event def on_key_press(symbol, modifier): # key "C" get press if symbol == pyglet.window.key.C: # close the window window.close() # image for icon img = image = pyglet.resource.image("logo.png") # setting image as icon window.set_icon(img) # setting minimum size of the window window.set_minimum_size(500, 500) # start running the application pyglet.app.run() |
Output :
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