Matplotlib 3D Scatter Animate Sequential Data

Question

I\'ve produced the following 3D scatter plot of some accelerometer data:

It\'s pretty basic, but I\'m pleased with the way it looks considering this is my f

Answer 1

There is an example for 3D scatter plots in this question: Matplotlib 3D scatter animations

In order to let the points appear one by one you would plot the data from the dataframe starting at index 0 up to the current animation index i.

(df.x.values[:i], df.y.values[:i], df.z.values[:i])

A full example:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.animation

x = np.random.normal(size=(80,3))
df = pd.DataFrame(x, columns=["x","y","z"])


fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
sc = ax.scatter([],[],[], c='darkblue', alpha=0.5)

def update(i):
    sc._offsets3d = (df.x.values[:i], df.y.values[:i], df.z.values[:i])

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
ax.set_xlim(-3,3)
ax.set_ylim(-3,3)
ax.set_zlim(-3,3)

ani = matplotlib.animation.FuncAnimation(fig, update, frames=len(df), interval=70)

plt.tight_layout()
plt.show()