matplotlib.pyplot.sci()函数

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Pyplot是一个基于状态的Matplotlib模块接口，该模块提供了一个类似matlab的接口。Pyplot中可以使用的绘图有直线图、轮廓图、直方图、散点图、三维图等。

matplotlib.pyplot.sci()函数

使用matplotlib库pyplot模块中的sci()函数设置当前图像。

语法:matplotlib.pyplot.sci (im)

参数:

im:这个图像将是colormap函数的目标。

返回:此方法不返回任何值。

下面的例子演示了matplotlib.pyplot.sci()函数在matplotlib.pyplot中的作用:

示例1

import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import colors as mcolors
  
import numpy as np
  
N = 50
x = np.arange(N)
   
ys = [x + i for i in x]
   
fig, ax = plt.subplots()
ax.set_xlim(0, 20)
ax.set_ylim(0, 20)
   
line_segments = LineCollection([np.column_stack([x, y]) for y in ys],
                               linewidths =(0.5, 1, 1.5, 2),
                               linestyles ='dashed', color ="#eeffdd")
  
line_segments.set_array(1/(x + 1))
ax.add_collection(line_segments)
line_segments.set_array(x)
  
plt.sci(line_segments)  
plt.title('matplotlib.pyplot.sci() Example')
  
plt.show()

输出:

matplotlib.pyplot.sci()函数

示例2

import matplotlib.pyplot as plt
from matplotlib.collections import EventCollection
from matplotlib.collections import LineCollection
import numpy as np
   
np.random.seed(19680801)
xvalue = np.random.random([2, 10])
xvalue1 = xvalue[0, :]
xvalue2 = xvalue[1, :]
xvalue1.sort()
xvalue2.sort()
   
yvalue1 = xvalue1 ** 4
yvalue2 = 1 - xvalue2 ** 6
   
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(xvalue1, yvalue1, color ='tab:blue')
ax.plot(xvalue2, yvalue2, color ='tab:green')
   
xresult1 = EventCollection(xvalue1, color ='tab:blue')
yresult1 = EventCollection(yvalue1, color ='tab:blue',
                           orientation ='vertical')
ax.add_collection(xresult1)
ax.add_collection(yresult1)
  
plt.sci(xresult1)  
plt.title('matplotlib.pyplot.sci() Example')
  
plt.show()

输出:

matplotlib.pyplot.sci()函数