I would like to graphically represent the time trend of a three-dimensional reference frame using Matplotlib and the quiver function. In an event, I simulated the data representing the reference frame through the definition of a 3×3 rotation matrix. Each time the event occurs, it should delete the previous reference frame and display the new one. Here is my code in Python:
import random as rnd import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation def timerTick_Event(i): #%% DATA SIMULATION temp1 = np.array([rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0)]).astype(float) temp1 = temp1 / np.linalg.norm(temp1) v2 = np.array([rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0)]).astype(float) v2 = v2 / np.linalg.norm(v2) v3 = np.cross(temp1, v2) v3 = v3 / np.linalg.norm(v3) v1 = np.cross(v2, v3) v1 = v1 / np.linalg.norm(v1) mat = np.column_stack((v1, v2, v3)) #%% DATA REPRESENTATION f = plt.gcf() ax = f.gca() #INSERT DELETE FUNCTION HERE u = ax.quiver(0, 0, 0, mat[0,0], mat[0,1], mat[0,2], color="r") v = ax.quiver(0, 0, 0, mat[1,0], mat[1,1], mat[1,2], color="g") w = ax.quiver(0, 0, 0, mat[2,0], mat[2,1], mat[2,2], color="b") plt.show() f1 = plt.figure(1) ax = f1.add_subplot(projection='3d') u = ax.quiver(0, 0, 0, 0, 0, 0, color="r") v = ax.quiver(0, 0, 0, 0, 0, 0, color="g") w = ax.quiver(0, 0, 0, 0, 0, 0, color="b") # set empty line plots with colors associate to the # quivers. Doing so we can show a legend. ax.plot([], [], [], color="r", label="X") ax.plot([], [], [], color="g", label="Y") ax.plot([], [], [], color="b", label="Z") ax.set_xlim(-1.1, 1.1); ax.set_ylim(-1.1, 1.1); ax.set_zlim(-1.1, 1.1) ax.set_xlabel("X_AXIS"); ax.set_ylabel("Y_AXIS"); ax.set_zlabel("Z_AXIS") ax.legend(); timerTickInterval = 1000 ani = FuncAnimation(f1, timerTick_Event, interval=timerTickInterval) plt.show()
This code works fine except for the missing delete function. In a 2d plot, I used this code to delete annotations
for child in ax.get_children(): if isinstance(child, mTxt.Annotation): child.remove()
and this command to delete the first plotted line
ax.lines.pop(0)
Any suggestion? Thank you in advance!
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Answer
If you keep track of the quiver artists, you can use them to remove the previously plotted quivers:
import random as rnd import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation quivers_artist = [] def timerTick_Event(i): global quivers_artist #%% DATA SIMULATION temp1 = np.array([rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0)]).astype(float) temp1 = temp1 / np.linalg.norm(temp1) v2 = np.array([rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0), rnd.uniform(-1.0, 1.0)]).astype(float) v2 = v2 / np.linalg.norm(v2) v3 = np.cross(temp1, v2) v3 = v3 / np.linalg.norm(v3) v1 = np.cross(v2, v3) v1 = v1 / np.linalg.norm(v1) mat = np.column_stack((v1, v2, v3)) #%% DATA REPRESENTATION f = plt.gcf() ax = f.gca() #INSERT DELETE FUNCTION HERE if len(quivers_artist) > 0: for q in quivers_artist: q.remove() quivers_artist.clear() quivers_artist.append(ax.quiver(0, 0, 0, mat[0,0], mat[0,1], mat[0,2], color="r")) quivers_artist.append(ax.quiver(0, 0, 0, mat[1,0], mat[1,1], mat[1,2], color="g")) quivers_artist.append(ax.quiver(0, 0, 0, mat[2,0], mat[2,1], mat[2,2], color="b")) f1 = plt.figure(1) ax = f1.add_subplot(projection='3d') u = ax.quiver(0, 0, 0, 0, 0, 0, color="r") v = ax.quiver(0, 0, 0, 0, 0, 0, color="g") w = ax.quiver(0, 0, 0, 0, 0, 0, color="b") # set empty line plots with colors associate to the # quivers. Doing so we can show a legend. ax.plot([], [], [], color="r", label="X") ax.plot([], [], [], color="g", label="Y") ax.plot([], [], [], color="b", label="Z") ax.set_xlim(-1.1, 1.1); ax.set_ylim(-1.1, 1.1); ax.set_zlim(-1.1, 1.1) ax.set_xlabel("X_AXIS"); ax.set_ylabel("Y_AXIS"); ax.set_zlabel("Z_AXIS") ax.legend(); timerTickInterval = 1000 ani = FuncAnimation(f1, timerTick_Event, interval=timerTickInterval) plt.show()