Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。轴类包含大多数图形元素：Axis，Tick，Line2D，Text，Polygon等，并设置坐标系。 Axes实例通过callbacks属性支持回调。
matplotlib.axes.Axes.get_ymajorticklabels()函数
matplotlib库的axiss模块中的Axes.get_ymajorticklabels()函数用于返回主要的y刻度标签。
用法： Axes.get_ymajorticklabels(self)
参数：此方法不接受任何参数。
返回值：此方法返回“文本列表”实例。
以下示例说明了matplotlib.axes中的matplotlib.axes.Axes.get_ymajorticklabels()函数：
范例1：
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
fig, ax = plt.subplots()
ax.plot(range(12, 24), range(12))
ax.set_yticks((2, 5, 7, 10))
ax.set_yticklabels(("Label-1", "Label-2",
"Label-3", "Label-4"))
w = ax.get_ymajorticklabels()
ax.text(16, 10, "ymajorticklabels values:",
fontweight ="bold")
x = 10
for i in list(w):
ax.text(16, x-1, str(i), fontweight ="bold")
x-= 1
fig.suptitle('matplotlib.axes.Axes.get_ymajorticklabels()\
function Example\n\n', fontweight ="bold")
plt.show()输出：
范例2：
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec
fs = 1000
t = np.linspace(0, 0.3, 301)
A = np.array([2, 8]).reshape(-1, 1)
f = np.array([150, 140]).reshape(-1, 1)
xn = (A * np.sin(2 * np.pi * f * t)).sum(axis = 0)
xn += 5 * np.random.randn(*t.shape)
fig, ax = plt.subplots()
yticks = [-40, -15, 10]
ax.psd(xn, NFFT = 301,
Fs = fs,
window = mlab.window_none,
pad_to = 1024,
scale_by_freq = True)
ax.set_yticks(yticks)
ax.set_yticklabels(("Low-1", "High", "Low-2"))
ax.grid(True)
w = ax.get_ymajorticklabels()
ax.text(200, 8, "ymajorticklabels values:",
fontweight ="bold")
x = 8
for i in list(w):
ax.text(200, x-3, str(i), fontweight ="bold")
x-= 3
fig.suptitle('matplotlib.axes.Axes.get_ymajorticklabels()\
function Example\n\n', fontweight ="bold")
plt.show()输出：
相关用法
注：本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axes.Axes.get_ymajorticklabels() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。