TEST_grafic.py

# -*- coding: utf-8 -*-
"""
Created on Tue Jun  6 08:42:32 2023

@author: Basti-Uni
"""

#%% imports
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.patches import Circle
import matplotlib.image as img

# not impoertend imports
import time
import random

#%% classes


background_url = './Bilder/Strecke_02.jpg'
background = img.imread(background_url)
#background = background.resize((1500, 800))
fig = plt.figure()
ax = fig.add_subplot(111)
live_image = ax.imshow(background)
ax.set_xlim(0,4032)
ax.set_ylim(3024,0)
plt.show(block=False)

#%%
for x in range(10):
    ax.plot([(x*100)+550, 500], [800, 2000], color='red', linewidth=10)
    fig.canvas.draw_idle()
    fig.canvas.flush_events()
    time.sleep(1)
    
#%%
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.animation import FuncAnimation

# Bild laden
image_path = './Bilder/Strecke_02.jpg'
image = plt.imread(image_path)

# Start- und Endposition der Linie
start_x, start_y = 100, 100
end_x, end_y = 400, 400

# Anzahl der Schritte
num_steps = 100

# Zwischenwerte für die Linienposition berechnen
x_values = np.linspace(start_x, end_x, num_steps)
y_values = np.linspace(start_y, end_y, num_steps)

# Funktion zum Zeichnen des Bildes und der Linie
def draw_image(frame):
    plt.imshow(image)
    plt.plot([x_values[frame], y_values[frame]], [x_values[frame+1], y_values[frame+1]], color='red', linewidth=2)
    plt.axis('off')

# Funktion zum Aktualisieren der Linienposition
def update_line(frame):
    # Bild anzeigen und Linie zeichnen
    plt.cla()  # Vorherigen Plot löschen
    draw_image(frame)

# Animation erstellen
fig = plt.figure()
animation = FuncAnimation(fig, update_line, frames=num_steps-1, repeat=True, interval=50)  # 50 Millisekunden Verzögerung zwischen den Schritten

# Bild anzeigen
plt.show()