Matplotlib: 3D plots

Here is the Python code [#1]

import matplotlib.pyplot as plt
import rsPlot
# required import to use 3d:
from mpl_toolkits import mplot3d
import numpy as np
np.random.seed(12345)
def randomRange1(n1, min1, max1):
	return (max1 - min1)*np.random.rand(n1) + min1
plot1 = rsPlot.plot("plot41-1",1,0,72,640,480)
plot1.ax1 = plt.axes(projection="3d")
fig1 = plot1.fig1
ax1 = plot1.ax1
ax1.set_xlabel("x domain")
ax1.set_ylabel("y domain")
ax1.set_zlabel("z range")
n1 = 100
for m1,zlow1,zhigh1 in [("o", -50, -25), ("^", -30, -5)]:
	xs1 = randomRange1(n1, 23, 32)
	ys1 = randomRange1(n1, 0, 100)
	zs1 = randomRange1(n1, zlow1, zhigh1)
	ax1.scatter(xs1, ys1, zs1, marker=m1)
plot1.save()

Matplotlib can be used for wire-frame plots.

Here is the Python code [#2]

import matplotlib.pyplot as plt
import rsPlot
# required import to use 3d:
from mpl_toolkits import mplot3d
import numpy as np
def fxy1(x1, y1):
	return np.sin(np.sqrt(x1*x1 + y1*y1))
plot1 = rsPlot.plot("plot41-2",1,0,72,640,480)
plot1.ax1 = plt.axes(projection="3d")
fig1 = plot1.fig1
ax1 = plot1.ax1
ax1.set_xlabel("x")
ax1.set_ylabel("y")
ax1.set_zlabel("z")
xData1 = np.linspace(-5, 5, 20)
yData1 = np.linspace(-5, 5, 20)
xMesh1, yMesh1 = np.meshgrid(xData1,yData1)
zData1 = fxy1(xMesh1, yMesh1)
ax1.plot_wireframe(xMesh1, yMesh1, zData1, color="#000099")
for pos1 in range(0, 7):
	angle1 = 15*pos1
	print("Rotate: {0:d} degrees".format(angle1))
	ax1.view_init(30,angle1)
	plot1.save()

Here is the output of the Python code.

(module rsPlot imported)
Rotate: 0 degrees
	./plot41-2-01.png : 510 x 383 , 100,571 bytes
Rotate: 15 degrees
	./plot41-2-02.png : 510 x 383 , 130,799 bytes
Rotate: 30 degrees
	./plot41-2-03.png : 510 x 383 , 136,890 bytes
Rotate: 45 degrees
	./plot41-2-04.png : 510 x 383 , 137,090 bytes
Rotate: 60 degrees
	./plot41-2-05.png : 510 x 383 , 136,074 bytes
Rotate: 75 degrees
	./plot41-2-06.png : 510 x 383 , 130,874 bytes
Rotate: 90 degrees
	./plot41-2-07.png : 510 x 383 , 100,363 bytes