Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。它是Python中令人惊叹的可视化库，用于数组的2D图，并用于与更广泛的SciPy堆栈配合使用。
matplotlib.axis.Axis.get_majorticklocs()功能
matplotlib库的轴模块中的Axis.get_majorticklocs()函数用于获取数据坐标中主要刻度位置的数组。
用法： Axis.get_majorticklocs(self)
参数： This method does not accepts any parameter.
Return value: This method returns the array of major tick locations in data coordinates.
以下示例说明了matplotlib.axis中的matplotlib.axis.Axis.get_majorticklocs()函数：
范例1：
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
from matplotlib.artist import Artist
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
def tellme(s):
ax.set_title(s, fontsize = 16)
fig.canvas.draw()
renderer = fig.canvas.renderer
Artist.draw(ax, renderer)
tellme("Matplotlib.axis.Axis.get_majorticklocs()\n\
Function Example")
ax.grid()
print("Value of get_majorticklocs():")
for i in ax.xaxis.get_majorticklocs():
print(i)
plt.show()
输出：
Value of get_majorticklocs():
0.0
0.2
0.4
0.6000000000000001
0.8
1.0
范例2：
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
from matplotlib.artist import Artist
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection ='3d')
X, Y, Z = axes3d.get_test_data(0.1)
ax.plot_wireframe(X, Y, Z, rstride = 5,
cstride = 5)
ax.view_init(30, 50)
fig.canvas.draw()
renderer = fig.canvas.renderer
Artist.draw(ax, renderer)
fig.suptitle('Matplotlib.axis.Axis.get_majorticklocs()\n\
Function Example')
ax.grid()
print("Value of get_majorticklocs():")
for i in ax.xaxis.get_majorticklocs():
print(i)
plt.show()
输出：
Value of get_majorticklocs():
-40.0
-30.0
-20.0
-10.0
0.0
10.0
20.0
30.0
40.0
