Python中的 Matplotlib.figure.Figure.subplots_adjust()
Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。 figure 模块提供了顶级 Artist,即 Figure,其中包含所有绘图元素。该模块用于控制所有绘图元素的子图和顶级容器的默认间距。
matplotlib.figure.Figure.subplots_adjust() 方法
matplotlib 库的 subplots_adjust () 方法图模块用于使用 kwargs 更新 SubplotParams。
Syntax: subplots_adjust(self, left=None, bottom=None, right=None, top=None, wspace=None, hspace=None)
Parameters: This method accept the following parameters that are discussed below:
- left : This parameter is the left side of the subplots of the figure.
- right : This parameter is the right side of the subplots of the figure.
- bottom : This parameter is the bottom of the subplots of the figure.
- top : This parameter is the top of the subplots of the figure.
- wspace : This parameter is the amount of width reserved for space between subplots expressed as a fraction of the average axis width.
- hspace : This parameter is the amount of height reserved for space between subplots expressed as a fraction of the average axis height.
Returns: This method does not returns any value.
下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.subplots_adjust()函数:
示例 1:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [1, 4, 9, 16]
fig = plt.figure()
axs = fig.subplots()
axs.plot(x, y)
fig.subplots_adjust(bottom = 0.15)
fig.suptitle("""matplotlib.figure.Figure.subplots_adjust()
function Example\n\n""", fontweight ="bold")
fig.show()
输出:
示例 2:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import TextBox
fig, ax = plt.subplots()
fig.subplots_adjust(bottom = 0.2)
t = np.arange(-2.0, 2.0, 0.001)
s = np.sin(t)+np.cos(2 * t)
initial_text = "sin(t) + cos(2t)"
l, = ax.plot(t, s, lw = 2)
def submit(text):
ydata = eval(text)
l.set_ydata(ydata)
ax.set_ylim(np.min(ydata), np.max(ydata))
plt.draw()
axbox = plt.axes([0.4, 0.05, 0.3, 0.075])
text_box = TextBox(axbox, 'Formula Used : ',
initial = initial_text)
text_box.on_submit(submit)
fig.suptitle("""matplotlib.figure.Figure.subplots_adjust()
function Example\n\n""", fontweight ="bold")
fig.show()
输出: