40def _start_music(track_path, loop=False):
41 """Play Music."""
42 player = JupyterPlayer(track_path)
43 display = player.play_music(loop=loop)44 return display
32 return display(sound, display_id=self.display_id)
33
34
35def _stop_music(display):36 """Stop Music."""
37 display.update(HTML(""))
38
The local variable name hides the variable defined in the outer scope, making it inaccessible and might confuse.
filename = 'myfile.txt'
def read_file(filename): # This shadows the global `filename`
with open(filename) as file:
return file.readlines()
FILENAME = 'myfile.txt' # renamed global to UPPER_CASE as convention
def read_file(filename):
with open(filename) as file:
return file.readlines()
Another usual suspect of this is when you use the same parameter name inside a function as the global variable you are using. For example:
def run_app(app):
# This `app` shadows the global app...
app.run()
if __name__ == '__main__':
app = MyApp() # This is a global variable!
run_app(app)
To avoid this re-defining of a global, consider not defining app
as a global, but inside a main()
function instead:
def run_app(app):
# There is no longer a global `app` variable.
app.run()
def main():
app = MyApp()
run_app(app)
if __name__ == '__main__':
main()