ipywidgets - display next value in list after clicking - jupyter-notebook

I'm trying to use ipywidgets in order to display next value in my list (in Jupyter notebook) given as display_vals after clicking the button. However, with the following code snippet, I got error as
local variable 'i' referenced before assignment
Here is the snippet that I have
from IPython.display import display, clear_output
import ipywidgets as widgets
button = widgets.Button(description="Click Me!")
display(button)
display_vals = ['a', 'b', 'c']
i = 0
def on_button_clicked(b):
print(display_vals[i])
clear_output()
i += 1
button.on_click(on_button_clicked)
I guess I just don't know the way to parse my variable when button gets clicked.

You could do it by declaring i as a global and including an if statement like so:
from IPython.display import display, clear_output
import ipywidgets as widgets
button = widgets.Button(description="Click Me!")
display(button)
display_vals = ['a', 'b', 'c']
i = 0
def on_button_clicked(b):
global i
clear_output()
if i < len(display_vals):
print(display_vals[i])
i += 1
button.on_click(on_button_clicked)
However you should rename i to be something a little bit more unique if you do decide to go this route.

Related

PySide2 UI Maya Find object names that contain specific names

I want to include in the argument an object name that contains a specific name from the ui file.
I have created pickers in QtDesigner and have imported them for Maya 2022.
It assigned a command to each button. But I realized I needed a huge number of commands.
It's just this scene.
from PySide2 import QtWidgets
from PySide2 import QtGui
from PySide2 import QtCore
from PySide2.QtUiTools import QUiLoader
from maya.app.general.mayaMixin import MayaQWidgetBaseMixin
import shiboken2 as shiboken
UIFILEPATH = 'D:/MAYA/pyside_pick/ui/PicsTest5.ui'
class MainWindow(MayaQWidgetBaseMixin,QtWidgets.QMainWindow):
def __init__(self,parent=None):
super(MainWindow,self).__init__(parent)
self.UI = QUiLoader().load(UIFILEPATH)
self.setWindowTitle(self.UI.windowTitle())
self.setCentralWidget(self.UI)
#PushButton
self.UI.pushButton_sphere.clicked.connect(self.PushedCmd)
#Comand
def PushedCmd(self):
bTEXT = str(self.UI.pushButton_sphere.text())
cmds.select('pSphere1')
print(bTEXT)
def main():
window = MainWindow()
window.show()
if __name__ == '__main__':
main()
If it is given an object name like above, it certainly works.
But there are commands that need to be directed only to objects containing "pushButton_".
I tried like this
button1 = self.findChild(QtWidgets.QPushButton, 'pushButton_*')
self.button1.clicked.connect(self.testPrint)
def testPrint(self):
print(self.button1)
I meant to define button1 as a QPushButton containing 'pushButton _' and print its name when clicked.
Unfortunately, I learned that asterisks can not be used as searches.
Then, I tried like this
button1 = self.findChild(QtWidgets.QPushButton, 'pushButton_sphere')
self.button1.clicked.connect(self.testPrint)
def testPrint(self):
print(self.button1)
The result was written as (PySide2.QtWidgets.QPushButton)already deleted.
This is probably rudimentary, but being Jap I couldn't find a workable solution.
Tell me how to output the object name when I press the button, please.
Also tell me if the notation is wrong.

How to access event data?

Click handlers in bokeh 1.0.3 used to have the signature attr, old, new. Now the are passed a single event object. How can I access its values?
menu = [('a', 'a'), ('b', 'b')]
dropdown = Dropdown(label='clickme', menu=menu)
def click_handler(event):
print(event)
returns
bokeh.events.MenuItemClick object at 0x7ff7de1cc208
EDIT: Where in the documentation is access to values of events described? I could not find anything on https://docs.bokeh.org/en/latest/docs/reference/events.html
I'm not sure where you got this information, but it's not quite correct. Dropdown was refined as a type of Button recently, so the ability to respond to the same kind of click events that other buttons do was added. But nothing was replaced. Callbacks for property changes work for any Bokeh object property, including Dropdown.value, and this has not changed:
from bokeh.io import curdoc
from bokeh.models import Dropdown
menu = [('a', 'a'), ('b', 'b')]
dropdown = Dropdown(label='clickme', menu=menu)
def cb(attr, old, new):
print(attr, old, new)
dropdown.on_change('value', cb)
curdoc().add_root(dropdown)
I'm coming in late, but I had the same issue as Leevi, and bigreddot's answer did not work for me (Bokeh 2.4.2, Python 3.10.2). Short answer is that a Bokeh Dropdown does not have a value attribute, so on_change('value, handler) will not work. The MenuItemClick object, has an item attribute, which is what you want.
menu = [('a', 'a'), ('b', 'b')]
dropdown = Dropdown(label='clickme', menu=menu)
def click_handler(event):
print(event.item)
dropdown.on_click(click_handler)
Long answer: I had the following code:
def choose_pipeline(event):
"""Change to the chosen pipeline"""
print(event)
pipeline_dropdown = Dropdown(label='Available Pipelines',
menu=[("Pipeline1", "pipeline1_value"),
("Pipeline2", "pipeline2_value")])
pipeline_dropdown.on_change('value', choose_pipeline)
and got this error:
File "C:\Users\me\PycharmProjects\DHLLDV\Scripts\SystemTab.py", line 69, in system_panel
pipeline_dropdown.on_change('value', choose_pipeline)
File "C:\Users\me\PycharmProjects\DHLLDV\venv\lib\site-packages\bokeh\model\model.py", line 434, in on_change
descriptor = self.lookup(attr)
File "C:\Users\me\PycharmProjects\DHLLDV\venv\lib\site-packages\bokeh\core\has_props.py", line 469, in lookup
raise AttributeError(f"{cls.__name__}.{name} property descriptor does not exist")
AttributeError: Dropdown.value property descriptor does not exist
I wrote this:
def choose_pipeline(event):
"""Change to the chosen pipeline"""
print(event.__dict__)
pipeline_dropdown = Dropdown(label='Available Pipelines', menu=[("Pipeline1", "pipeline1_value"),
("Pipeline2", "pipeline2_value")])
pipeline_dropdown.on_click(choose_pipeline)
And saw the result when I picked Pipeline2:
{'item': 'pipeline2_value', '_model_id': '1365'}

ipywidgets dropdown widgets: what is the onchange event?

I can register a handler to button.on_click in ipython notebook widgets, but I don't know how to do the same for a dropdown widget
import ipywidgets as widgets
from IPython.display import display
def on_button_clicked(b):
print("Button clicked.")
button = widgets.Button(description="Click Me!")
display(button)
button.on_click(on_button_clicked)
But for
choose_task = widgets.Dropdown(
options=['Addition', 'Multiplication', 'Subtraction'],
value='Addition',
description='Task:',
)
there seems to be only
on_trait_change(...)
if I register a handler with this, can I use it to access the value of the widget?
I have seen examples with the handler and the widget belong to a subclass, and the handler can use self to introspect. But if I don't want to use a subclass, how does the handler know what widget was the target of the event.?
Between this link and the traitlet docs on github and just playing around, I finally figured this out:
w = widgets.Dropdown(
options=['Addition', 'Multiplication', 'Subtraction', 'Division'],
value='Addition',
description='Task:',
)
def on_change(change):
if change['type'] == 'change' and change['name'] == 'value':
print("changed to %s" % change['new'])
w.observe(on_change)
display(w)
Overall this looks a lot richer than the deprecated interface, but it could definitely use more examples.
You can specify the change name in observe. This makes for cleaner code, and the handler is not called for changes you don't need:
from IPython.display import display
from ipywidgets import Dropdown
def dropdown_eventhandler(change):
print(change.new)
option_list = (1, 2, 3)
dropdown = Dropdown(description="Choose one:", options=option_list)
dropdown.observe(dropdown_eventhandler, names='value')
display(dropdown)
Put it all together
Inspired on previous answers and lambda expressions I use this:
def function(option):
print(option)
w = widgets.Dropdown(
options=['None', 'Option 1', 'Option 2', 'Option 3'],
description='Option:',
disabled=False
)
w.observe(
lambda c: plot_content(c['new']) if (c['type'] == 'change' and c['name'] == 'value') else None
)
display(w)
I agree that event handling is not as thorough as would be desired: I have been filtering the events as you receive multiple events for a typical dropdown change as the index changes, the value changes, i.e., change['name'].
I am doing the following:
def on_dropdown_change(change):
if change['name'] == 'value' and (change['new'] != change['old']):
print('do something with the change')
dropdown = ipywidgets.Dropdown({options=['one','two','three'],
value='one'})
dropdown.observe(on_dropdown_change)
I believe the idea is to use trait name, e.g. value. For example:
from ipywidgets import Dropdown
def handle_change():
print type_sel.value
type_sel = Dropdown(description="Keypoint type", options=['surf', 'orb'])
type_sel.on_trait_change(handle_change, name="value")
display(type_sel)
SciPy 2015 Advanced Jupyter Video Tutorial
I had the same issue. This also begs the next question, how to interface button actions based on dropdown menu selections.
# Common Imports for Widgets
from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
'''
Precusor:
<class 'traitlets.utils.bunch.Bunch'> It is a dictionary-like object containing:
{'name': 'value', 'old': 'what_ever_the_old_value_was', 'new': 'what_ever_the_new_value_is',
'owner': Dropdown(description='the_user_defined_label:', index=1, # I'm not sure what this is
options=()#list of options passed,
value='value_kwarg_value'), 'type': 'change'} # type: action_or_event type
For more information see:
https://traitlets.readthedocs.io/en/stable/using_traitlets.html#default-values-and-checking-type-and-value
or
https://github.com/jupyter-widgets/tutorial/blob/master/notebooks/08.00-Widget_Events.ipynb
or a long but well done SciPy talk on the use of widgets #
https://www.youtube.com/watch?v=HaSpqsKaRbo
'''
foo = ['a','b','c'] # List to use
# Function to apply to drop box object
def bar(x):
'''
I am intentionally passing what it is made of so you can see the output.
'''
print(x,'\n') # Whole object
print(x.new,'\n') # New value
# Function for the button to select user input and do work
def get_user_selection(a): # A default arg is needed here, I am guessing to pass self
# Displays the current value of dropbox1 and dropbox two
display(dropbox1.value,dropbox2.value)
# creation of a widget dropdown object called dropbox1
dropbox1 = widgets.Dropdown(
options=foo, # Object to iterate over
description='Letter:', # User defined
value=foo[1], # Default value selection
rows=len(foo), # The number of rows to display when showing the box
interactive=True, # This makes the box interactive, I believe this is true by default
);
# Drop box of k,v like pairs
dropbox2 = widgets.Dropdown(
options=[('One', 1), ('Two', 2), ('Three', 3)],
value=2,
description='Number:',
)
# Button to click
select_button = widgets.Button(
description='Click', # User defined
disabled=False
)
# Event Handlers
dropbox1.observe(bar,names='value')
dropbox2.observe(bar,names='value')
select_button.on_click(get_user_selection)
# I you need more help with commands try things like:
# interact_manual?
# display(arg.keys,arg.traits)
# print(widgets.widget_type_here.widget_function_or_attr.__doc__)
# Create a UI object to display things. There are other ways of organizing them.
ui = widgets.HBox([dropbox1,dropbox2,select_button]) # pass an array of widgets to the ui
# display the UI
display(ui)
This will display the following after a couple of clicks.

Is there a way to make an IPython Notebook output interactivly create an input and execute it?

I was wondering if I can make an output interactively run a piece of code. So if for example I had a class (parts in pseudo-code):
import numpy as np
class test(object):
def __init__():
self.a = np.random.randn(10)
print ## Interactive Output: Click me to view data array##
def show():
print a
So when I create a class instance it should output some interactive link (maybe in html) or something like that and when I click it, the show() method should be called. However, I have no idea how to achieve that.
You could use the widgets shipped with the notebook (for jupyter they are an independent package).
Something like this could do what you want (Python 3):
from IPython.html import widgets
from IPython.display import display
import numpy as np
class Test(object):
def __init__(self, arraylen):
self.a = np.random.randn(arraylen)
self.button = widgets.Button(description = 'Show')
self.button.on_click(self.show)
display(self.button)
def show(self, ev = None):
display(self.a)
self.button.disabled = True
test = Test(10)
You create a button widget when you initialise the class widgets.Button(description = 'Show')
Attach an event to it button.on_click(self.show)
And display the button display(self.button)
In the show method I included a way to disable the button functionality once the array is showed self.button.disabled = True. You can comment this line if you want to show more times the array.

QTextEdit shift-tab wrong behaviour

shift+tab behaves as tab in QTextEdit/QPlainTextEdit.
Looks like a common problem with no good solution.
Is there any "classical" way to enable this functionality when tab increases indentation level and shift-tab decreases it?
This is a bit of an old question, but I got this figured out.
You just need to reimplement QPlainTextEdit (or QTextEdit) with your own class that inherits from it, and override the keyPressEvent.
By default a tab inserts a tabstop, but the below code catches a Qt.Key_Backtab event, which as near as I can tell is the event that occurs when you press Shift+Tab.
I tried and failed to catch Qt.Key_Tab and a Qt.Key_Shift or Qt.Key_Tab and a Shift modifier, so this must be the way to do it.
import sys
from PyQt4 import QtCore, QtGui
class TabPlainTextEdit(QtGui.QTextEdit):
def __init__(self,parent):
QtGui.QTextEdit.__init__(self, parent)
def keyPressEvent(self, event):
if event.key() == QtCore.Qt.Key_Backtab:
cur = self.textCursor()
# Copy the current selection
pos = cur.position() # Where a selection ends
anchor = cur.anchor() # Where a selection starts (can be the same as above)
# Can put QtGui.QTextCursor.MoveAnchor as the 2nd arg, but this is the default
cur.setPosition(pos)
# Move the position back one, selection the character prior to the original position
cur.setPosition(pos-1,QtGui.QTextCursor.KeepAnchor)
if str(cur.selectedText()) == "\t":
# The prior character is a tab, so delete the selection
cur.removeSelectedText()
# Reposition the cursor with the one character offset
cur.setPosition(anchor-1)
cur.setPosition(pos-1,QtGui.QTextCursor.KeepAnchor)
else:
# Try all of the above, looking before the anchor (This helps if the achor is before a tab)
cur.setPosition(anchor)
cur.setPosition(anchor-1,QtGui.QTextCursor.KeepAnchor)
if str(cur.selectedText()) == "\t":
cur.removeSelectedText()
cur.setPosition(anchor-1)
cur.setPosition(pos-1,QtGui.QTextCursor.KeepAnchor)
else:
# Its not a tab, so reset the selection to what it was
cur.setPosition(anchor)
cur.setPosition(pos,QtGui.QTextCursor.KeepAnchor)
else:
return QtGui.QTextEdit.keyPressEvent(self, event)
def main():
app = QtGui.QApplication(sys.argv)
w = TabPlainTextEdit(None)
w.show()
sys.exit(app.exec_())
if __name__ == "__main__":
main()
I'm still refining this, but the rest of the code is on GitHub.

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