Python 中的 matplotlib . artist . artist . set _ sketch _ params()
原文:https://www . geesforgeks . org/matplotlib-artist-artist-set _ sketch _ params-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。艺术家类包含抽象基类，用于渲染到图形画布中的对象。图形中所有可见的元素都是艺术家的子类。
matplotlib . artist . artist . set _ sketch _ params()方法
matplotlib 库的 artist 模块中的 set_sketch_params()方法用于设置草图参数。
语法:artist . set _ sketch _ params(self，scale=None，length=None，随机性=None)
参数:该方法接受以下参数。
- 比例:此参数是垂直于源线的摆动幅度，以像素为单位。
- 长度:此参数是沿直线摆动的长度，以像素为单位。
- 随机性:该参数是长度缩小或扩大的比例因子。
返回:该方法不返回值。
以下示例说明了 matplotlib 中的 matplotlib . artist . artist . set _ sketch _ params()函数:
例 1:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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')
Artist.set_sketch_params(ax, 100, 100, 20)
fig.suptitle('matplotlib.artist.Artist.set_sketch_params()\
function Example', fontweight ="bold")
plt.show()
输出:
例 2:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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)
Artist.set_sketch_params(ax, 1.0, 100.0, 22.0)
Artist.set_sketch_params(ax2, 1.0, 10.0, 22.0)
fig.suptitle('matplotlib.artist.Artist.set_sketch_params()\
function Example', fontweight ="bold")
plt.show()
输出:
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