VPython GUIs

Adding interactivity to VPython simulations

The Main Idea

VPython is the powerful tool for simulations used in this course. So far, we have seen how to create simulations that visualize a physical system/surroundings based on a given input. However, VPython is powerful enough to add several GUI features for interactivity, such as buttons, sliders, menus, and text input that allow the user to modify simulations as they run.

One important note is that these features are newly introduced in VPython 6, and may require you to update your VPython version before usage.

Initialization

Apart from the basic import statements required for any VPython programs, i.e. … from __future__ import divison from visual import *

… we also need to add the following lines: import wx

Here, “wx” imports wxPython, the library that allows us to create all of the interactivity GUI elements.

New Functions

window(width, height, menus, title, style)

Creates a new window of size width x height

Example – Modified spacevoyage.py

In some lab exercises, we were required to simulate a spring's motion. When we were testing multiple input constants – e.g. [math]\displaystyle{ k_s }[/math] (the spring constant), the mass of the ball, [math]\displaystyle{ L_0 }[/math] (the spring's relaxed length), or the initial position of the spring, we had to update our Python code every time we wanted to change the initial values. With our interactivity elements, we can update initial conditions (constants) while the simulation is running, which is much easier and more intuitive – and might make lab work quicker by allowing you to update your simulation on the fly.

Creating the window

To create the window, we'll write: myWindow = window(title='Spring Energy Simulation')

Then, we need to get the contents of the panel inside the window: myPanel = myWindow.panel

Let's write a bit of text inside the panel window as well. Assume we don't want this text to change: wx.StaticText(myPanel, pos=(d,4), size=(L-2*d,d), label='Displayed below is the spring energy simulator:', style=wx.ALIGN_CENTRE)

Let's initialize some constants: <syntaxhighlight lang=”python”> g = 9.8 mball = 0.5 L0 = 0.3 ks = 12 deltat = 1e-13 speed = 10 </syntaxhighlight>

We're familiar with most of these as constants, but the main difference when we are adding interactivity is that we will be able to change these constants while our simulation is running.

Next, we have an option: we may either put our spring visualization in a separate window. In this case, we do nothing special. Otherwise, we may put itinside the same window we just created, along with the rest of the widgets. In the latter case, we can add the following line of code: d = 20 offset = 30 myDisplay = display(window=myWindow, x=offset, y=offset, width=L-2*d, height=L-2*d)

Handling user input

Now, we may create some input boxes that will allow us to change the value of our constants.

Text input boxes

<syntaxhighlight lang=”python”> textBoxDims=(150, 15) gEntry = wx.TextCtrl(myPanel, pos=(1.4*L, 90), value=str(g), size=textBoxDims, style= TE_PROCESS_ENTER) mBallEntry = wx.TextCtrl(myPanel, pos=(1.4*L, 110), value=str(mball), size=textBoxDims, style=TE_PROCESS_ENTER) Lentry = wx.TextCtrl(myPanel, pos=(1.4*L, 130), value=str(L0), size=textBoxDims, style=TE_PROCESS_ENTER) ksEntry = wx.TextCtr(myPanel, pos=(1.4*L, 150), value=str(ks), size=textBoxDims, style=TE_PROCESS_ENTER) </syntaxhighlight>

We'll also create a slider that will allow us to change the speed of our animation.

speedEntry = wx.Slider(myPanel, pos=(1.4*L, 190), size=(0.9*L, 20), minValue=50, maxValue=1e4) speedEntry.SetValue(50)

Callback functions

As mentioned before, putting new values into our input boxes allows us to update the values of the constants defined earlier. In order to do so, we need to define some functions that will update the values of our constants.

<syntaxhighlight lang=”python”> def updateG(evt):

   global g
   newG = gEntry.GetValue()
   try:
       g = float(newG)
   except ValueError:
       pass

def updateMBall(evt):

   global mball
   newMBall = mBallEntry.GetValue()
   try:
       mball = float(newMBall)
   except ValueError:
       pass

def updateL0(evt):

   global L0
   newL0 = Lentry.GetValue()
   try:
       L0 = float(newL0)
   except ValueError:
       pass

def updateKS(evt):

   global ks
   newKS = ksEntry.GetValue()
   try:
       ks = float(newKS)
   except ValueError:
       pass

def updateSpeed(evt):

   global speed
   speed = speedEntry.GetValue()

</syntaxhighlight>

Here, what we are doing is telling VPython to update the “global” constants ks, G, mball, etc. We are then making sure that the user is not trying to set these numerical values to strings (a sequence of letters).

We also need to bind these functions to the input widgets as “listeners.” <syntaxhighlight lang=”python”> gEntry.Bind(wx.EVT_TEXT_ENTER, updateG) mBallEntry.Bind(wx.EVT_TEXT_ENTER, updateMBall) Lentry.Bind(wx.EVT_TEXT_ENTER, updateL0) ksEntry.Bind(wx.EVT_TEXT_ENTER, updateKS) speedEntry.Bind(wx.EVT_SCROLL, updateSpeed) </syntaxhighlight>

Let's also add a function that reinitializes the entire animation. def resetAnimation(evt): ceiling.pos = initialCeilingPos ball.pos = initialBallPos spring.length = initialBallLength ball.p = mball*vector(0,0,0) vball = initialBallVelocity

Finally, we will add a button calling that function. resetBtn = wx.Button(myPanel, label=”Reset animation”, pos=(1.4*L, 170)) resetBtn.Bind(EVT_BUTTON, resetAnimation)

Running the simulation

In order to run the simulation, we essentially do the same thing we have done previously – we use a while loop and put all of our variables/updates into the while loop. However, we actually need to nest the entire while loop in a secondary while loop

Sample code

Some sample code for the spring application is located here

Connectedness

How is this topic connected to something that you are interested in?

How is it connected to your major?

As a CS major, I try to make my own work easier. GUIs always help me, and hopefully other users, manipulate physics simulations more easily than changing hard-coded variables and make VPython a more user-friendly tool.

Is there an interesting industrial application?

There are many applications of GUIs – they make physics simulations more accessible to people with no programming background, and can speed up lab work and support quick modifications.

History

wxPython is a GUI library for the Python programming languages that allows users to quickly deploy desktop applications. The wx toolkit was included as part of VPython 6, allowing users to easily write GUIs for VPython programs instead of using the VPython default window displays.