Simple animation (numpy & pysimplegui)


Document establishment date: March 26, 2020

Last revision date: None

Relevant software information:

Windows 10 Python 3.7.6 PySimpleGUI 4.16.0 Numpy 1.18.2 PIL/Pillow 7.1.1

Note: please quote or change this article at will. Just indicate the source and author. The author does not guarantee that the content is absolutely correct. Please be responsible for any consequences

Title: simple animation (numpy & pysimplegui)

In the past, multithreading was always used to achieve multi object motion processing. In fact, there are timing processing designs in many GUIs. Therefore, try to use multithreading without using multithreadingGUIThe timing of itself can deal with the moving and updating of all objects, which seems to have a quick and natural effect And the design is much simpler than multithreading and easy to debug


  1. Eject any bubble (water drop) at fixed time

  2. Each bubble has its own direction and velocity. In order to facilitate processing, it is set as the velocity in X direction and Y direction

  3. There are three things to deal with in the bubble process

    • Fall will be affected by gravity and acceleration
    • The falling process will be gradually dispersed. Because the dispersion effect is not obvious, the color is changed to the background color
    • If the bubble position exceeds the display area, it must be deleted, otherwise there will be more and more bubble objects

Output screen

Simple animation (numpy & pysimplegui)

Code and description

  1. Import related libraries
import numpy as np
import PySimpleGUI as sg
import random
  1. Create bubble class

    • Colors no longer use text, such asyellow, green, because the color should be changed in the process of movementRGBWay of#RRGGBBTo define

    • Start by creating an empty array of bubbles, each with five attributes

      • Image ID – the object drawn on the canvas

      • Coordinates of initial positions of X and Y bubbles when they are generated

      • V_ x, V_ Y is the initial velocity of bubble formation, and the two constitute its moving direction

class Bubble():

def __init__(self):
    self.width, self.height = self.size = (301, 501)
    self.x0, self.y0 = self.origin = self.width//2, self.height-50
    self.number  = 10   # 10 bubbles generate each time
    self.range   = 30
    self.time    = 10
    self.rate    = self.time/40
    self.color   = '#FFFFFF'      = '#0080FF'
    self.radius  = 3
    self.bubbles = np.empty((0, 5), dtype=np.float)
  1. Bubble generation
    • The initial positions are fixed, and the number isself.number
    • If the velocity is a random number, there will be bubbles with different directions and velocities
    • Draw bubbles in order and coexist their imagesidFor later update or deletion
def create(self):
    new_bubbles = np.hstack(
        (np.full((self.number, 1),     0.0),
         np.full((self.number, 1), self.x0),
         np.full((self.number, 1), self.y0),
         (np.random.rand(self.number, 1)-0.5)*self.range,
         (np.random.rand(self.number, 1)-0.5)*self.range
    for bubble in new_bubbles:
        color = self.color
        bubble[0] = draw.DrawCircle((bubble[1], bubble[2]),
            self.radius, fill_color=color, line_color=color)
    self.bubbles = np.vstack((self.bubbles, new_bubbles))
  1. Bubble movement

    • The speed of direction X remains the same, and its position is X_ {n+1} = X_ n + V_ x * dt

    • The velocity in direction Y is affected by gravity

      • Position Y_ {n+1} = Y_ n – V_ Y * DT + G * T ^ 2 / 2, where V_ Y for simplicity, take only constants

      • Speed v_ {n+1} = V_ n-g*dt

    • These formulas may be simplified again. For example, if the time difference is 1 and the gravitational acceleration is 1, the calculation formula will be simpler.

def change(self):
    self.bubbles[:, 1] += self.bubbles[:, 3]*self.rate
    self.bubbles[:, 2] += self.bubbles[:, 4]*self.rate - 9.8*self.rate**2/2
    self.bubbles[:, 4] -= 9.8*self.rate
  1. More bubble update
    • The color change is updated from the original bubble color to the background color in proportion to the position of the Y axis
    • becausePySimpleGUIThe color of the image cannot be updated directly, so delete the image in the original position first, and then draw the image again in the new position
def update(self):
    b = 255
    color = self.color
    for bubble in self.bubbles:
        r = min(int(255 - 255*(self.y0-bubble[2])/self.y0), 255)
        g = min(int(255 - 128*(self.y0-bubble[2])/self.y0), 255)
        color = "#%02x%02x%02x" % (r, g, b)
        bubble[0] = draw.DrawCircle((bubble[1], bubble[2]),
            self.radius, fill_color=color, line_color=color)
  1. Check whether the bubble is out of bounds
    • useNumpyAccording to the position of the bubble, confirm whether it is out of bounds and establishbooleanIndexes.
    • Export the image to be deleted according to the index and update the list of bubbles that still exist
def check(self):
    filter = np.logical_and(
        np.logical_and(self.bubbles[:,1]>0, self.bubbles[:,1]<self.width),
        np.logical_and(self.bubbles[:,2]>0, self.bubbles[:,2]<self.height))
    discard = self.bubbles[np.logical_not(filter)]
    for key in discard[:, 0]:
    self.bubbles = self.bubbles[filter]
  1. Establish bubble instance and GUI interface

    • GUIThe interface is very simple, just a canvas
B = Bubble()
  1. Run the main program
    • The content is very simple – generate bubbles, update the position and speed, check whether it is out of bounds, update the bubble position and color, and cycle until the user closes the window
    • After deducting blank lines, only65that ‘s ok.
while True:
    event, values =
    if event == None:

This work adoptsCC agreement, reprint must indicate the author and the link to this article

Jason Yang

Recommended Today

JS generate guid method

JS generate guid method Globally unique identification(GUID) is an algorithm generatedBinaryCount Reg128 bitsNumber ofidentifier , GUID is mainly used in networks or systems with multiple nodes and computers. Ideally, any computational geometry computer cluster will not generate two identical guids, and the total number of guids is2^128In theory, it is difficult to make two […]