Python 中的 matplotlib . axis . tick . set _ animated()函数
原文:https://www . geesforgeks . org/matplotlib-axis-tick-set _ animated-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 . tick . set _ animated()函数
matplotlib 库的轴模块中的 Tick.set_animated()函数用于设置艺术家的动画状态。
语法: Tick.set_animated(self，b) 参数:此方法接受以下参数。
- b: 该参数为布尔值。
返回值:此方法不返回值。
以下示例说明 matplotlib . axis . tick . set _ animated()函数在 matplotlib.axis: 示例 1:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
data = np.array([[1, 2, 3, 4, 5],
[7, 4, 9, 2, 3]])
fig = plt.figure()
ax = plt.axes(xlim =(0, 20), ylim =(0, 20))
line, = ax.plot([], [], 'r-')
annotation = ax.annotate('',
xy =(data[0][0],
data[1][0]))
Tick.set_animated(annotation, True)
def init():
return line, annotation
def update(num):
newData = np.array([[1 + num,
2 + num / 2,
3,
4 - num / 4,
5 + num],
[7, 4,
9 + num / 3,
2, 3]])
line.set_data(newData)
return line, annotation
anim = animation.FuncAnimation(fig,
update,
frames = 59,
init_func = init,
interval = 60,
blit = True)
fig.suptitle('matplotlib.axis.Tick.set_animated() \
function Example', fontweight ="bold")
plt.show()
输出:
[https://media.geeksforgeeks.org/wp-content/cdn-uploads/20200611141317/python-matplotlib-set-animation-tick-1.webm](https://media.geeksforgeeks.org/wp-content/cdn-uploads/20200611141317/python-matplotlib-set-animation-tick-1.webm)例 2:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
fig, ax = plt.subplots()
ax.set_xlim([-1, 1])
ax.set_ylim([-1, 1])
L = 50
theta = np.linspace(0, 2 * np.pi, L)
r = np.ones_like(theta)
x = r * np.cos(theta)
y = r * np.sin(theta)
line, = ax.plot(1, 0, 'ro')
annotation = ax.annotate(
'annotation', xy =(1, 0), xytext =(-1, 0),
arrowprops = {'arrowstyle': "->"}
)
Tick.set_animated(annotation, False)
fig.suptitle('matplotlib.axis.Tick.set_animated() \
function Example', fontweight ="bold")
plt.show()
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