Python中的 Matplotlib.axis.Axis.set_alpha()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_alpha()函数
matplotlib 库的轴模块中的Axis.set_alpha()函数用于设置用于混合的 alpha 值。
Syntax: Axis.set_alpha(self, alpha)
Parameters: This method accepts the following parameters.
- alpha: This parameter is the contains float value or None.
Return value: This method does not return any value.
以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.set_alpha()函数:
示例 1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
# create test data
np.random.seed(10**7)
data = [sorted(np.random.normal(0, std, 100))
for std in range(1, 5)]
fig, ax1 = plt.subplots()
val = ax1.violinplot(data)
ax1.set_ylabel('Result')
ax1.set_xlabel('Domain Name')
for i in val['bodies']:
i.set_facecolor('yellow')
Axis.set_alpha(i, 0.3)
fig.suptitle('matplotlib.axis.Axis.set_alpha() \
function Example\n', fontweight ="bold")
plt.show()
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
NUM = 100
ells = [Ellipse(xy = np.random.rand(2) * 10,
width = np.random.rand(),
height = np.random.rand(),
angle = np.random.rand() * 360)
for i in range(NUM)]
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})
for e in ells:
ax.add_artist(e)
e.set_clip_box(ax.bbox)
Axis.set_alpha(e, np.random.rand())
e.set_facecolor(np.random.rand(4))
ax.set_xlim(2, 8)
ax.set_ylim(2, 8)
fig.suptitle('matplotlib.axis.Axis.set_alpha() \
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 numpy as np
from matplotlib.patches import Ellipse
NUM = 100
ells = [Ellipse(xy = np.random.rand(2) * 10,
width = np.random.rand(),
height = np.random.rand(),
angle = np.random.rand() * 360)
for i in range(NUM)]
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})
for e in ells:
ax.add_artist(e)
e.set_clip_box(ax.bbox)
Axis.set_alpha(e, np.random.rand())
e.set_facecolor(np.random.rand(4))
ax.set_xlim(2, 8)
ax.set_ylim(2, 8)
fig.suptitle('matplotlib.axis.Axis.set_alpha() \
function Example\n', fontweight ="bold")
plt.show()
输出: