3D_animated_surface_plot.py

"""Creates a 3D surface plot, can be used as an example for demonstrating gradient descent
Author: Markus Frey
E-mail: [email protected]
"""

import numpy as np
import pandas as pd
import os

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
import matplotlib.animation as animation
from scipy.ndimage.filters import gaussian_filter
plt.xkcd();
import seaborn as sns
sns.set_style('white')

# Set transparency off when exporting
from matplotlib import patheffects, rcParams
rcParams['path.effects'] = [patheffects.withStroke(linewidth=0)]

# Get some mountain data ;)
z_data = np.repeat(np.repeat(pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv').values,2,axis=0),2,axis=1)

# Create figure
fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, projection="3d")

# Create X,Y,Z
X, Y = np.mgrid[-5:5:50j, -5:5:50j]
Z = Y*np.sin(X) - X*np.cos(Y) * z_data
Z = gaussian_filter(Z, 1)

# Plot surface and contours
ax.plot_surface(X, Y, Z, cmap="jet", lw=0.5, rstride=1, cstride=1)
ax.contour(X, Y, Z, 10, cmap="jet", linestyles="solid", offset=-1)
ax.contour(X, Y, Z, 10, colors="k", linestyles="solid")

# Remove background
ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))
ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))
ax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))
plt.tight_layout()

def rotate(angle):
    ax.view_init(azim=angle)
ani = animation.FuncAnimation(fig, rotate, frames=np.arange(0, 362, 2), interval=100)
ani.save('3DRot.gif', dpi=80, writer='imagemagick')

Output: