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Last active Oct 31, 2020
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plot 3D trajectory from csv with xyz coordinates
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.animation as animation
import pandas as pd
from sys import exit
def update_lines(num, data, line):
# NOTE: there is no .set_data() for 3 dim data...
line.set_data(data[0:2, :num])
line.set_3d_properties(data[2, :num])
return line
# Attaching 3D axis to the figure
fig = plt.figure()
ax = p3.Axes3D(fig)
# Reading the data from a CSV file using pandas
repo = pd.read_csv('coords2.csv',sep=',',header=0)
data = np.array((repo['x'].values, repo['y'].values, repo['z'].values))
print (data.shape[1])
# Creating fifty line objects.
# NOTE: Can't pass empty arrays into 3d version of plot()
limit = 100000.
line = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])[0]
# Setting the axes properties
ax.set_xlim3d([-limit, limit])
ax.set_ylim3d([-limit, limit])
ax.set_zlim3d([-limit, limit])
ax.set_title('3D Test')
# Creating the Animation object
line_ani = animation.FuncAnimation(fig, update_lines, data.shape[1], fargs=(data, line), interval=50, blit=False)
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