I am trying to plot multiple lines in a 3D plot using matplotlib. I have 6 datasets with x and y values. What I've tried so far was, to give each point in the data sets a z-value. So all points in data set 1 have z=1 all points of data set 2 have z=2 and so on. Then I exported them into three files. "X.txt" containing all x-values, "Y.txt" containing all y-values, same for "Z.txt".

Here's the code so far:

        #!/usr/bin/pythonfrom mpl_toolkits.mplot3d import axes3dimport matplotlib.pyplot as pltimport numpy as npimport pylabxdata = '/X.txt'ydata = '/Y.txt'zdata = '/Z.txt'X = np.loadtxt(xdata)Y = np.loadtxt(ydata)Z = np.loadtxt(zdata)fig = plt.figure()ax = fig.add_subplot(111, projection='3d')ax.plot_wireframe(X,Y,Z)plt.show()

What I get looks pretty close to what I need. But when using wireframe, the first point and the last point of each dataset are connected. How can I change the colour of the line for each data set and how can I remove the connecting lines between the datasets?

Is there a better plotting style then wireframe?

Load the data sets individually, and then plot each one individually.

I don't know what formats you have, but you want something like this

from mpl_toolkits.mplot3d.axes3d import Axes3D
import matplotlib.pyplot as plt
fig, ax = plt.subplots(subplot_kw={'projection': '3d'})datasets = [{"x":[1,2,3], "y":[1,4,9], "z":[0,0,0], "colour": "red"} for _ in range(6)]for dataset in datasets:ax.plot(dataset["x"], dataset["y"], dataset["z"], color=dataset["colour"])plt.show()

Each time you call plot (or plot_wireframe but i don't know what you need that) on an axes object, it will add the data as a new series. If you leave out the color argument matplotlib will choose them for you, but it's not too smart and after you add too many series' it will loop around and start using the same colours again.

n.b. i haven't tested this - can't remember if color is the correct argument. Pretty sure it is though.