Python中的 Matplotlib.axis.Axis.set_clip_on()函数
Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库,用于处理更广泛的 SciPy 堆栈。
Matplotlib.axis.Axis.set_clip_on()函数
matplotlib库的axis模块中的axis.set_clip_on()函数用于设置美工是否使用剪辑。
Syntax: Axis.set_clip_on(self, b)
Parameters: This method accepts the following parameters.
- b: This parameter contains the boolean value.
Return value: This method does not return any value.
下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.set_clip_on()函数:
示例 1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
delta = 45.0
angles = np.arange(0, 360 + delta, delta)
ells = [Ellipse((2, 2), 5, 2, a) for a in angles]
fig, ax = plt.subplots()
for e in ells:
e.set_alpha(0.1)
ax.add_artist(e)
ax.set_xlim(-1, 5)
ax.set_ylim(-1, 5)
Axis.set_clip_on(ax, b = False)
fig.suptitle('matplotlib.axis.Axis.set_clip_on() \
function Example\n', fontweight ="bold")
plt.show()
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.transforms as mtransforms
x0 = -0.1
arrow_style ="simple, head_length = 15, \
head_width = 25, tail_width = 10"
rect_style ="simple, tail_width = 25"
line_style ="simple, tail_width = 1"
fig, ax = plt.subplots()
trans = mtransforms.blended_transform_factory(ax.transAxes,
ax.transData)
y_tail = 5
y_head = 80
arrow1 = mpatches.FancyArrowPatch((x0, y_tail),
(x0, y_head),
arrowstyle = arrow_style,
transform = trans)
Axis.set_clip_on(arrow1, b = False)
ax.add_patch(arrow1)
ax.set_xlim(0, 30)
ax.set_ylim(0, 80)
fig.suptitle('matplotlib.axis.Axis.set_clip_on() \
function Example\n', fontweight ="bold")
plt.show()
输出:
示例 2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.transforms as mtransforms
x0 = -0.1
arrow_style ="simple, head_length = 15, \
head_width = 25, tail_width = 10"
rect_style ="simple, tail_width = 25"
line_style ="simple, tail_width = 1"
fig, ax = plt.subplots()
trans = mtransforms.blended_transform_factory(ax.transAxes,
ax.transData)
y_tail = 5
y_head = 80
arrow1 = mpatches.FancyArrowPatch((x0, y_tail),
(x0, y_head),
arrowstyle = arrow_style,
transform = trans)
Axis.set_clip_on(arrow1, b = False)
ax.add_patch(arrow1)
ax.set_xlim(0, 30)
ax.set_ylim(0, 80)
fig.suptitle('matplotlib.axis.Axis.set_clip_on() \
function Example\n', fontweight ="bold")
plt.show()
输出: