Python 使用Matplotlib进行三维打印:隐藏轴但保留轴标签?
我正在使用Matplotlib可视化三维阵列。 我得到的几乎是我想要的,除了一个小问题。。。请参阅下面的插图和说明,说明我可以让它做什么以及我希望它做什么Python 使用Matplotlib进行三维打印:隐藏轴但保留轴标签?,python,matplotlib,plot,mplot3d,Python,Matplotlib,Plot,Mplot3d,我正在使用Matplotlib可视化三维阵列。 我得到的几乎是我想要的,除了一个小问题。。。请参阅下面的插图和说明,说明我可以让它做什么以及我希望它做什么 显示一组带有标签的立方体,但也显示一组其他内容 显示一组立方体,但不显示轴标签 这是我想要的,但无法实现。。。我想显示一组带有轴标签的立方体,但没有其他内容 我希望你们能帮我:)看下面的资料 from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fro
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()
更新,感谢您的回答,以下是我遗漏的内容:
# 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))
这将与:
# Get rid of the ticks
ax.set_xticks([])
ax.set_yticks([])
ax.set_zticks([])
隐藏除标签以外的所有内容,如图3)所示
更新
我已清理并使代码进入工作状态,并使其在此处可用:
这里还有几个其他示例:
我试图运行您的代码,但它在我的计算机中不起作用 下面可以看到绘制球体的解决方案。基本上,我手动将窗格和脊椎的颜色设置为
alpha=0
,并将刻度设置为空列表(如您所指出的)
这是我的输出
谢谢@Nicogaro,我错过了:“ax.w_xaxis.set_pane_color”和“ax.w_xaxis.line.set_color”。没问题。你能修改你的代码吗?我对运行它感兴趣。。。也许我以后可以用它来可视化张量。我已经清理了它,并在这里提供了它:只是一个提示让你知道-明确地包括一个不寻常的(即很酷的)用例对以后的其他人真的很有帮助!
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()