Created
March 1, 2020 20:18
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import numpy as np | |
import matplotlib.pyplot as plt | |
from mpl_toolkits import mplot3d | |
def plot_surface(domain, fn, grid_samples=100, title=None, **plot_kwargs): | |
x = np.linspace(domain[0][0], domain[0][1], grid_samples) | |
y = np.linspace(domain[1][0], domain[1][1], grid_samples) | |
X, Y = np.meshgrid(x, y) | |
fn_vectorized = np.vectorize(fn) | |
Z = fn_vectorized(X, Y) | |
fig = plt.figure(figsize=(20,10)) | |
ax = plt.axes(projection="3d") | |
ax.plot_surface(X, Y, Z, **plot_kwargs) | |
ax.set(xlabel="x", ylabel="y", zlabel="f(x, y)", title=title) | |
plt.close() | |
return fig, ax | |
# now let's try it out! | |
def func(x, y): | |
return -np.sin(10 * (x**2 + y**2)) / 10 | |
domain = [(-0.5, 0.5), (-0.5, 0.5)] | |
fig, ax = plot_surface(domain, func, rstride=1, cstride=1, cmap='terrain', edgecolor=None) | |
fig |
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