matplotlib . axes . get _ xticklines()用 Python
表示
原文:https://www . geeksforgeeks . org/matplotlib-axes-axes-get _ xticklines-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。轴类包含了大部分的图形元素:轴、刻度、线二维、文本、多边形等。，并设置坐标系。Axes 的实例通过回调属性支持回调。
matplotlib . axes . axes . get _ xticklines()函数
matplotlib 库的 Axes 模块中的 Axes.get_xticklines()函数用于将 x 刻度线作为 Line2D 实例的列表返回。
语法: Axes.get_xticklines(self)
参数:该方法不接受任何参数。
返回值:该方法返回 x 条刻度线作为线 2D 实例列表。
下面的例子说明了 matplotlib.axes . axes . get _ xticklines()函数在 matplotlib . axes 中的作用:
例 1:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
def func(x):
return (x - 4) * (x - 6) * (x - 5) + 100
a, b = 2, 9 # integral limits
x = np.linspace(0, 10)
y = func(x)
fig, ax = plt.subplots()
ax.plot(x, y, "k", linewidth = 2)
ax.set_ylim(bottom = 0)
# Make the shaded region
ix = np.linspace(a, b)
iy = func(ix)
verts = [(a, 0), *zip(ix, iy), (b, 0)]
poly = Polygon(verts, facecolor ='green',
edgecolor ='0.5', alpha = 0.4)
ax.add_patch(poly)
ax.text(0.5 * (a + b), 30,
r"$\int_a ^ b f(x)\mathrm{d}x{content}quot;,
horizontalalignment ='center',
fontsize = 20)
fig.text(0.9, 0.05, '$x{content}apos;)
fig.text(0.1, 0.9, '$y{content}apos;)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.set_xticks((a, b-a, b))
ax.set_xticklabels(('$a{content}apos;, '$valx{content}apos;, '$b{content}apos;))
w = ax.get_xticklines()
ax.text(3, 200, "xticklines values : ",
fontweight ="bold")
xx = 200
for i in w:
ax.text(4, xx-15, str(i), fontweight ="bold")
xx-= 15
fig.suptitle('matplotlib.axes.Axes.get_xticklines()\
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()
输出:
例 2:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
# Fixing random state for reproducibility
np.random.seed(19680801)
x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)
y2 = y + 0.2 * np.random.normal(size = x.shape)
fig, ax = plt.subplots()
ax.plot(x, y)
ax.plot(x, y2)
ax.set_xticks([0, np.pi, 2 * np.pi])
ax.set_xticklabels(['0', r'$pi{content}apos;, r'2$pi{content}apos;])
ax.spines['left'].set_bounds(-1, 1)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
w = ax.get_xticklines()
ax.text(2, 0.8, "xticklines values : ",
fontweight ="bold")
xx = 0.8
for i in w:
ax.text(2.3, xx-0.2, str(i), fontweight ="bold")
xx-= 0.2
fig.suptitle('matplotlib.axes.Axes.get_xticklines() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()
输出:
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