matplotlib . axes . get _ GID()用 Python

表示

原文:https://www . geeksforgeeks . org/matplotlib-axes-axes-get _ GID-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_gid()函数

matplotlib 库的 Axes 模块中的 Axes.get_gid()函数用于获取组 id。

语法: Axes.get_gid(self)

参数:该方法不接受任何参数。

返回:该方法返回组 id。

下面的例子说明了 matplotlib.axes.Axes.get_gid()函数在 matplotlib.axes 中的作用:

例 1:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

y, x = np.mgrid[:5, 1:6]

poly_coords = [
    (0.25, 2.75), (3.25, 2.75),
    (2.25, 0.75), (0.25, 0.75)
]
fig, ax = plt.subplots()

cells = ax.plot(x, y, x + y, color ='green')

ax.add_patch(
    plt.Polygon(poly_coords, color ='forestgreen',
                alpha = 0.5)
    )
ax.margins(x = 0.1, y = 0.05)
ax.set_aspect('equal')

for i, t in enumerate(ax.patches):
    t.set_gid('patch_% d' % i)
    print("Value Return :", t.get_gid())

fig.suptitle('matplotlib.axes.Axes.get_gid() function\
 Example\n\n', fontweight ="bold")

plt.show()

输出:

Value Return : patch_0

例 2:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

fig, ax = plt.subplots()

circle = plt.Circle((0, 0), 5, fc ='blue')
rect = plt.Rectangle((-5, 10), 10, 5, fc ='green')

ax.add_patch(circle)
ax.add_patch(rect)

circle_tip = ax.annotate('This is a blue circle.',
            xy =(0, 0),
            xytext =(30, -30),
            textcoords ='offset points',
            color ='w',
            ha ='left',
            bbox = dict(boxstyle ='round, pad =.5', 
                        fc =(.1, .1, .1, .92), 
                        ec =(1., 1., 1.), 
                        lw = 1,
                        zorder = 1),
            )

rect_tip = ax.annotate('This is a green rectangle.',
            xy =(-5, 10),
            xytext =(30, 40),
            textcoords ='offset points',
            color ='w',
            ha ='left',
            bbox = dict(boxstyle ='round, pad =.5', 
                        fc =(.1, .1, .1, .92), 
                        ec =(1., 1., 1.), 
                        lw = 1,
                        zorder = 1),
            )
print("Value Return")
for i, t in enumerate(ax.patches):
    t.set_gid('patch_% d'% i)
    print(t.get_gid())

for i, t in enumerate(ax.texts):
    t.set_gid('tooltip_% d'% i)
    print(t.get_gid())

ax.set_xlim(-30, 30)
ax.set_ylim(-30, 30)
ax.set_aspect('equal')

fig.suptitle('matplotlib.axes.Axes.get_gid() function\
Example\n\n', fontweight ="bold")

plt.show()

输出:

Value Return
patch_0
patch_1
tooltip_0
tooltip_1