作者:QX封面精选 | 来源:互联网 | 2023-10-11 10:38
Python 中的 matplotlib . artist . artist . set _ GID()
原文:https://www . geesforgeks . org/matplotlib-artist-artist-set _ GID-in-python/
【Matplotlib】是 Python 中的一个库,它是 NumPy 库的数字-数学扩展。 艺术家类 包含将渲染到图形画布中的对象的抽象基类。图形中所有可见的元素都是艺术家的子类。
matplotlib . artist . artist . set _ GID()方法
matplotlib 库的艺术家模块中的 set_gid()方法用于设置艺术家的(组)id。
句法: 艺术家。 set_gid(self,gid)
参数:此方法只接受一个参数。
返回:该方法不返回值。
以下示例说明了 matplotlib . artist . artist .set _ GID()在 matplotlib 中的功能:
例 1:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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):
Artist.set_gid(t, 'patch_% d' % i)
fig.suptitle("""matplotlib.artist.Artist.set_gid()
function Example""", fOntweight="bold")
plt.show()
输出:
例 2:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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),
)
for i, t in enumerate(ax.patches):
Artist.set_gid(t, 'patch_% d'% i)
for i, t in enumerate(ax.texts):
Artist.set_gid(t, 'tooltip_% d'% i)
ax.set_xlim(-30, 30)
ax.set_ylim(-30, 30)
ax.set_aspect('equal')
fig.suptitle("""matplotlib.artist.Artist.set_gid()
function Example""", fOntweight="bold")
plt.show()
输出: