Python 中的 matplotlib . axis . axis . get _ figure()函数
原文:https://www . geeksforgeeks . org/matplotlib-axis-axis-get _ figure-function-in-python/
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 _ figure()函数
matplotlib 库的 Axis 模块中的 Axis.get_figure()函数用于获取艺术家所属的 figure 实例。
语法: Axis.get_figure(self)
参数:该方法不接受任何参数。
返回值:该方法返回艺术家所属的人物实例。
下面的例子说明了 matplotlib.axis . axis . get _ figure()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
import matplotlib.lines as lines
import matplotlib.transforms as mtransforms
import matplotlib.text as mtext
class GFGfun(lines.Line2D):
def __init__(self, *args, **kwargs):
self.text = mtext.Text(0, 0, '')
lines.Line2D.__init__(self, *args, **kwargs)
self.text.set_text(self.get_label())
def set_figure(self, figure):
self.text.set_figure(figure)
lines.Line2D.set_figure(self, figure)
def set_axes(self, axes):
self.text.set_axes(axes)
lines.Line2D.set_axes(self, axes)
def set_transform(self, transform):
# 2 pixel offset
texttrans = transform + mtransforms.Affine2D().translate(2, 2)
self.text.set_transform(texttrans)
lines.Line2D.set_transform(self, transform)
def set_data(self, x, y):
if len(x):
self.text.set_position((x[-1], y[-1]))
lines.Line2D.set_data(self, x, y)
def draw(self, renderer):
lines.Line2D.draw(self, renderer)
self.text.draw(renderer)
np.random.seed(10**7)
fig, ax = plt.subplots()
x, y = np.random.rand(2, 20)
line = GFGfun(x, y, mfc ='green',
ms = 12,
label ='Label')
line.text.set_color('green')
line.text.set_fontsize(16)
ax.add_line(line)
ax.text(0.2, 0.8, "Value Return : "
+str(Axis.get_figure(ax)),
fontweight ="bold")
fig.suptitle("""matplotlib.axis.Axis.get_figure()
function Example\n""", fontweight ="bold")
plt.show()
输出:
例 2:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as lines
import matplotlib.transforms as mtransforms
import matplotlib.text as mtext
class GFGfun(lines.Line2D):
def __init__(self, *args, **kwargs):
self.text = mtext.Text(0, 0, '')
lines.Line2D.__init__(self, *args, **kwargs)
self.text.set_text(self.get_label())
def set_figure(self, figure):
self.text.set_figure(figure)
lines.Line2D.set_figure(self, figure)
np.random.seed(10**7)
fig, ax = plt.subplots()
x, y = np.random.rand(2, 10)
line = GFGfun(x, y,
mfc ='green', ms = 12, label ='Label')
line.text.set_color('green')
line.text.set_fontsize(16)
ax.add_line(line)
ax.text(0.2, 0.8, "Value Return : "
+str(Axis.get_figure(ax)),
fontweight ="bold")
fig.suptitle("""matplotlib.axis.Axis.get_figure()
function Example\n""", fontweight ="bold")
plt.show()
输出:
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