Python Matplotlib Update Scatter

Question

I tried to write a simple script which updates a scatter plot for every timestep t. I wanted to do it as simple as possible. But all it does is to open a window

Answer 1

I finally found a solution. You can do it simply by using this script. I tried to keep it simple:

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

# Helps me to get the data from the file I want to plot
N = 0

# Load particle positioins
with open('//home//user//data.dat', 'r') as fp:
    particles = []
    for line in fp:
        line = line.split() 
        particles.append(line)

# Create new Figure and an Axes which fills it.
fig = plt.figure(figsize=(7, 7))
ax = fig.add_axes([0, 0, 1, 1], frameon=True)
border = 100
ax.set_xlim(-border, border), ax.set_xticks([])
ax.set_ylim(-border, border), ax.set_yticks([])

# particle data
p = 18 # number of particles
myPa = np.zeros(p, dtype=[('position', float, 2)])

# Construct the scatter which we will update during animation
scat = ax.scatter(myPa['position'][:, 0], myPa['position'][:, 1])

def update(frame_number):
    # New positions
    myPa['position'][:] = particles[N*p:N*p+p]

    # Update the scatter collection, with the new colors, sizes and positions.
    scat.set_offsets(myPa['position'])
    increment()

def increment():
    global N
    N = N+1

# Construct the animation, using the update function as the animation director.
animation = FuncAnimation(fig, update, interval=20)

plt.show()