Plotting 3D surface with matplotlib with 3 columns of data

Question

I know usually we use:

plot_surface(X, Y, Z)

where X, Y are 1-D array and Z a matrix of dimension len(X) × len(Y), to plot a surface.

But I now have only three columns of 1-D array as data. In other words, I have something like:

X=[1,2,3,4,5]
Y=[1,2,3,4,5]

and

Z=f(X,Y)=[1,2,3,4,5]

I do not have the expression of f, but I want to plot a surface diagram nevertheless. How should I do it?

Please feel free to ask me to clarify my question. This is my first time asking questions on the platform.

Thank you in advance!

ktp · Accepted Answer · 2020-12-30 02:48:51Z

1

is this what you mean?:

import numpy as np
import matplotlib.pyplot as plt

x=[1,2,3,4,5]
y=[1,2,3,4,5]
z=np.array([[1],[2],[3],[4],[5]])
ax = plt.axes(projection='3d')
ax.plot_surface(x, y, z,cmap='viridis')

plt.show()

answered Dec 30, 2020 at 2:48

ktp

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3 Comments

Yunhan Sheng Over a year ago

Thank you for your answer. However when use pandas to read my csv data in an error occurs at ax.plot_surace(x, y, z, camp='viridis'). The error is "TypeError: ufunc 'isnan' not supported for the input types". Do you happen to have any idea to resolve this?

ktp Over a year ago

@YunhanSheng - I've found such an answer: datascience.stackexchange.com/questions/32981/… and the second one: stackoverflow.com/questions/36000993/…

Yunhan Sheng Over a year ago

Thank you ktp, this does work. Now I'm trying to read and import my own data to see if I need to adjust some details. Thanks!

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