Python 中的 matplotlib . axis . axis . get _ 怕痒()函数
原文:https://www . geeksforgeeks . org/matplotlib-axis-axis-get _ 挠痒痒-python 中的函数/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。这是一个神奇的 Python 可视化库，用于 2D 数组图，并用于处理更广泛的 SciPy 堆栈。
matplotlib . axis . axis . get _ 怕痒()函数
matplotlib 库的 Axis 模块中的axis . get _ 怕痒()函数用于获取作为 Line2D 实例列表的刻度线。
语法:axis . get _ 怕痒(自身，次要=False)
参数:该方法接受以下参数。
- 次要:该参数包含布尔值。如果为真，返回次要的怕痒，否则返回主要的怕痒。
返回值:该方法将刻度线作为线 2D 实例列表返回。
下面的例子说明了 matplotlib.axis . axis . get _ cleanines()函数在 matplotlib . axis 中的作用:
例 1:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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;))
fig.suptitle('Matplotlib.axis.Axis.get_ticklines()\n\
Function Example', fontweight ="bold")
ax.grid()
print("Value of get_ticklines() :")
for i in ax.xaxis.get_ticklines():
print(i)
plt.show()
输出:
Value of get_ticklines() :
Line2D()
Line2D()
Line2D()
Line2D()
Line2D()
Line2D()
例 2:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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;])
for line in ax.yaxis.get_ticklines():
# line is a Line2D instance
line.set_color('tab:green')
line.set_markersize(25)
line.set_markeredgewidth(3)
ax.spines['left'].set_bounds(-1, 1)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
fig.suptitle('Matplotlib.axis.Axis.get_ticklines()\n\
Function Example', fontweight ="bold")
ax.grid()
plt.show()
输出:
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