matplotlib绘图

matplotlib绘制曲线

#绘制曲线内像素均值变化曲线 数据来自img1index24.png的7次迭代
import numpy as np
from matplotlib import pyplot as plt
from scipy.interpolate import make_interp_spline

#解决中文显示问题
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['axes.unicode_minus'] = False

#数据
x = np.array([1, 2, 3, 4, 5, 6, 7])
c1 = np.array([22.62,23.94736842105263, 26.30532212885154, 29.879811468970935, 35.39802336028751, 41.08150470219436, 45.384934756820876])
cr1 = np.array([254.83, 254.5, 251.84407096171802, 245.52395915161037, 234.83378256963164, 222.1951410658307, 211.7544483985765])
csum = c1+cr1
tag = np.array([255, 255, 255, 255, 255, 255, 255])
#平滑
x_smooth = np.linspace(x.min(), x.max(), 300)
c1_smooth = make_interp_spline(x, c1)(x_smooth)
cr1_smooth = make_interp_spline(x, cr1)(x_smooth)
csum_smooth = make_interp_spline(x, csum)(x_smooth)
tag_smooth = make_interp_spline(x, tag)(x_smooth)
#画线
plt.plot(x_smooth, c1_smooth, label="c1")
plt.plot(x_smooth, cr1_smooth, label="cr1")
plt.plot(x_smooth, csum_smooth, label="csum")
plt.plot(x_smooth, tag_smooth, c='black', label="255")
plt.legend(loc="best") #loc="upper left"
#x,y轴名称
plt.xlabel("迭代次数")
plt.ylabel("灰度值")
#标题
# plt.title("我是标题")
plt.show()
'''
plt.legend()loc=
'best' : 0,          
 'upper right'  : 1,
 'upper left'   : 2,
 'lower left'   : 3,
 'lower right'  : 4,
 'right'        : 5,
 'center left'  : 6,
 'center right' : 7,
 'lower center' : 8,
 'upper center' : 9,
 'center'       : 10,
'''