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如下图所示，我的x轴和y轴刻度线有问题。下面列出了创建此3D图的代码。我想将x轴和y轴刻度都移动到它们与图中3D条对齐的位置。如果有人可以提供帮助，我将非常感激。

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

import matplotlib.cm as cm

# To generate some test data

column_names = ['1', '2', '3','4', '5', '6', '7','8', '9','10','11','12','13','14','15','16','17']

row_names = ['T','S','R','P','N','M','L','K','J','H','G','F','E','D','C','B','A']

x = np.array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,

1,2,3,4,5,6,7,-1,-2,-3,-4,-5,-6,-7])

y = np.array([0,1,2,3,4,5,6,7,-1,-2,-3,-4,-5,-6,-7,

0,0,0,0,0,0,0,0,0,0,0,0,0,0])

XY = np.stack((x,y),axis=-1)

def selection(XY, limitXY=[[-9,+9],[-9,+9]]):

XY_select = []

for elt in XY:

if elt[0] > limitXY[0][0] and elt[0] < limitXY[0][1] and elt[1] > limitXY[1][0] and elt[1] < limitXY[1][1]:

XY_select.append(elt)

return np.array(XY_select)

XY_select = selection(XY, limitXY=[[-9,+9],[-9,+9]])

xAmplitudes = np.array(XY_select)[:,0]#your data here

yAmplitudes = np.array(XY_select)[:,1]#your other data here

fig = plt.figure(figsize=(25,25)) #create a canvas, tell matplotlib it's 3d

ax = fig.add_subplot(111, projection='3d')

hist, xedges, yedges = np.histogram2d(x, y, bins=(17,17), range = [[-9,+9],[-9,+9]]) # you can change your bins, and the range on which to take data

# hist is a 7X7 matrix, with the populations for each of the subspace parts.

xpos, ypos = np.meshgrid(xedges[:-1]+xedges[1:], yedges[:-1]+yedges[1:]) -(xedges[1]-xedges[0])

xpos = xpos.flatten()/1.

ypos = ypos.flatten()/1.

zpos = np.zeros_like (xpos)

dx = (xedges [1] - xedges [0])

dy = yedges [1] - yedges [0]

dz = hist.flatten()

cmap = cm.get_cmap('jet') # Get desired colormap - you can change this!

max_height = np.max(dz) # get range of colorbars so we can normalize

min_height = np.min(dz)

# scale each z to [0,1], and get their rgb values

rgba = [cmap((k-min_height)/max_height) for k in dz]

surf = ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color=rgba,alpha=0.5, zsort='max'

ticksx = 2*np.arange(0.5, 18, 1)

plt.xticks(ticksx, column_names,size=20)

ticksy = 2*np.arange(0.5, 18, 1)

plt.yticks(ticksy, row_names,size=20)

plt.grid()

ax.view_init(30, 40)

plt.show()

print('ax.azim {}'.format(ax.azim))

print('ax.elev {}'.format(ax.elev))