3D Plot with Matplotlib: Hide axes but keep axis-labels?
I tried to run your code, but it is not working in my computer.
Below you can see a solution for plotting a sphere. Basically, I turned the color of the panes and spines to alpha=0
by hand and make the ticks to be empty lists (as you pointed out).
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import rcParams
import numpy as np
rcParams['axes.labelsize'] = 18
rcParams['font.family'] = 'serif'
rcParams['font.serif'] = ['Computer Modern Roman']
rcParams['text.usetex'] = True
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
u = np.linspace(0, 2 * np.pi, 100)
v = np.linspace(0, np.pi, 100)
x = 10 * np.outer(np.cos(u), np.sin(v))
y = 10 * np.outer(np.sin(u), np.sin(v))
z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
ax.plot_surface(x, y, z, rstride=4, cstride=4, color='b')
# Get rid of the panes
ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
ax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
# Get rid of the spines
ax.w_xaxis.line.set_color((1.0, 1.0, 1.0, 0.0))
ax.w_yaxis.line.set_color((1.0, 1.0, 1.0, 0.0))
ax.w_zaxis.line.set_color((1.0, 1.0, 1.0, 0.0))
# Get rid of the ticks
ax.set_xticks([])
ax.set_yticks([])
ax.set_zticks([])
# Add the labels
ax.set_xlabel('Third dimension' )
ax.set_ylabel('Row(s)')
ax.set_zlabel('Column(s)')
plt.show()
And here is my output
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safl
Updated on June 04, 2022Comments
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safl almost 2 years
I am using Matplotlib to visualize three-dimensional arrays. I got it almost the way I want it, apart from a minor snag... see the illustration and the description below of what I can get it to do and what I want it to do...
- Show a bunch of cubes with labels, but also a bunch of other stuff.
- Show a bunch of cubes but no axis-labels.
- This is what I want but cannot get it to do... I want to display a bunch of cubes WITH axis-labels but nothing else.
I hope you guys can help me out :) See the source below.
from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt from matplotlib import rcParams import numpy as np rcParams['axes.labelsize'] = 14 rcParams['axes.titlesize'] = 16 rcParams['xtick.labelsize'] = 14 rcParams['ytick.labelsize'] = 14 rcParams['legend.fontsize'] = 14 rcParams['font.family'] = 'serif' rcParams['font.serif'] = ['Computer Modern Roman'] rcParams['text.usetex'] = True rcParams['grid.alpha'] = 0.0 def make_cube(): """ A Cube consists of a bunch of planes...""" planes = { "top" : ( [[0,1],[0,1]], [[0,0],[1,1]], [[1,1],[1,1]] ), "bottom" : ( [[0,1],[0,1]], [[0,0],[1,1]], [[0,0],[0,0]] ), "left" : ( [[0,0],[0,0]], [[0,1],[0,1]], [[0,0],[1,1]] ), "right" : ( [[1,1],[1,1]], [[0,1],[0,1]], [[0,0],[1,1]] ), "front" : ( [[0,1],[0,1]], [[0,0],[0,0]], [[0,0],[1,1]] ), "back" : ( [[0,1],[0,1]], [[1,1],[1,1]], [[0,0],[1,1]] ) } return planes def render_array(ary, highlight): fig = plt.figure() ax = fig.add_subplot(111, projection='3d') cube = make_cube() for space in xrange(0, ary.shape[0]): for column in xrange(0, ary.shape[1]): for row in xrange(0, ary.shape[2]): alpha = 0.01 if highlight[space,column,row] == 1: alpha = 1 for side in cube: (Xs, Ys, Zs) = ( np.asarray(cube[side][0])+space+space*0.2, np.asarray(cube[side][2])+row+row*0.2, np.asarray(cube[side][3])+column+column*0.2 ) ax.plot_surface(Xs, Ys, Zs, rstride=1, cstride=1, alpha=alpha) highest = 0 # Make it look cubic for size in ary.shape: if size > highest: highest = size ax.set_xlim((0,highest)) ax.set_ylim((0,highest)) ax.set_zlim((0,highest)) ax.set_xlabel('Third dimension' ) # Meant to visualize ROW-MAJOR ordering ax.set_ylabel('Row(s)') ax.set_zlabel('Column(s)') #plt.axis('off') # This also removes the axis labels... i want those... #ax.set_axis_off() # this removes too much (also the labels) # So I try this instead... ax.set_xticks([]) # removes the ticks... great now the rest of it ax.set_yticks([]) ax.set_zticks([]) #ax.grid(False) # this does nothing.... #ax.set_frame_on(False) # this does nothing.... plt.show() def main(): subject = np.ones((3,4,3)) highlight = np.zeros(subject.shape) # Highlight a row highlight[1,1,:] = 1 render_array(subject, highlight) # Show it if __name__ == "__main__": main()
Update, thanks to the answer, here is what I was missing:
# Get rid of the panes ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0)) ax.w_yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0)) ax.w_zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0)) # Get rid of the spines ax.w_xaxis.line.set_color((1.0, 1.0, 1.0, 0.0)) ax.w_yaxis.line.set_color((1.0, 1.0, 1.0, 0.0)) ax.w_zaxis.line.set_color((1.0, 1.0, 1.0, 0.0))
Which will, together with:
# Get rid of the ticks ax.set_xticks([]) ax.set_yticks([]) ax.set_zticks([])
Hide everything but the labels, as illustrated in 3).
UPDATE
I've cleaned and got the code into a working state and made it available here: https://github.com/safl/ndarray_plot
Along with a couple of additional examples here: http://nbviewer.ipython.org/github/safl/ndarray_plot/blob/master/nb/ndap.ipynb
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safl about 9 yearsThanks @nicoguaro, I was missing: "ax.w_xaxis.set_pane_color" and "ax.w_xaxis.line.set_color".
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nicoguaro about 9 yearsNot a problem. Can you fix your code? I'm interested in running it... Maybe I can use it for visualization of tensors later.
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safl almost 9 yearsI've cleaned it up and made it available here: github.com/safl/ndarray_plot