Python中的 Matplotlib.axes.Axes.get_sketch_params()
Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素:Axis、Tick、Line2D、Text、Polygon 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_sketch_params()函数
matplotlib 库的轴模块中的Axes.get_sketch_params()函数用于获取艺术家的草图参数。
Syntax: Axes.get_sketch_params(self)
Parameters: This method does not accepts any parameter.
Returns: This method return the sketch parameters for the artist.
下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.get_sketch_params()函数:
示例 1:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.gridspec as gridspec
import numpy as np
plt.rcParams['savefig.facecolor'] = "0.8"
plt.rcParams['figure.figsize'] = 6, 5
fig, ax = plt.subplots()
ax.plot([1, 2])
ax.locator_params("x", nbins = 3)
ax.locator_params("y", nbins = 5)
ax.set_xlabel('x-label')
ax.set_ylabel('y-label')
ax.text(0.2, 1.8, "Sketch Parameters : "
+str(ax.get_sketch_params()),
fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_sketch_params() \
function Example\n\n', fontweight ="bold")
plt.show()
输出:
示例 2:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
values = np.array([
0.015, 0.166, 0.133,
0.159, 0.041, 0.024,
0.195, 0.039, 0.161,
0.018, 0.143, 0.056,
0.125, 0.096, 0.094,
0.051, 0.043, 0.021,
0.138, 0.075, 0.109,
0.195, 0.050, 0.074,
0.079, 0.155, 0.020,
0.010, 0.061, 0.008])
values[[3, 14]] += .8
fig, (ax, ax2) = plt.subplots(2, 1,
sharex = True)
ax.plot(values, "o-", color ="green")
ax2.plot(values, "o-", color ="green")
ax.set_ylim(.78, 1.)
ax2.set_ylim(0, .22)
ax.spines['bottom'].set_visible(False)
ax2.spines['top'].set_visible(False)
ax.xaxis.tick_top()
ax.tick_params(labeltop = False)
ax2.xaxis.tick_bottom()
d = .005
kwargs = dict(transform = ax.transAxes,
color ='k',
clip_on = False)
ax.plot((-d, +d), (-d, +d), **kwargs)
ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)
kwargs.update(transform = ax2.transAxes)
ax2.plot((-d, +d), (1 - d, 1 + d), **kwargs)
ax2.plot((1 - d, 1 + d), (1 - d, 1 + d), **kwargs)
ax.set_sketch_params(1.0, 100.0, 22.0)
ax2.set_sketch_params(1.0, 100.0, 22.0)
ax.text(5, .95, "Sketch Parameters : "
+str(ax.get_sketch_params()),
fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_sketch_params() \
function Example\n\n', fontweight ="bold")
plt.show()
输出: