2023-08-01 python根据x轴、y轴坐标（数组）在坐标轴里画出曲线图，python 会调用鼎鼎大名的matlib，用来分析dac 数据

news2024/11/15 11:29:20

一、python 源码如下

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

#x=[0 ,1,2,3,5,6,10]
#y=[0,0,3,4,5,7,8]


#	{ 0                  ,  1     , 0x0003 },// 0
#	{ 0XFFFF * 1  / 10  ,  3006   , 0x0a6b },// 1
#	{ 0XFFFF * 2  / 10  , 5997   , 0x14c5 },// 2
#	{ 0XFFFF * 3  / 10  , 8992   , 0x1f22 },// 3
#	{ 0XFFFF * 4  / 10  , 11991  , 0x2983 },// 4
#	{ 0XFFFF * 5  / 10  , 14988  , 0x33e3 },// 5
#	{ 0XFFFF * 6  / 10  , 17986  ,  0x3e42 },//  6
#	{ 0XFFFF * 7  / 10  , 20983  , 0x48a2 },// 7
#	{ 0XFFFF * 8  / 10  , 23980  , 0x5302 },// 8
#	{ 0XFFFF * 9  / 10  , 26978  , 0x5d61 },// 9
#	{ 0XF300             , 28453

x=[0,0XFFFF * 1 / 10,0XFFFF * 2 / 10,0XFFFF * 3/ 10,0XFFFF * 4/ 10,0XFFFF * 5/ 10,0XFFFF * 6/ 10,0XFFFF * 7/ 10,0XFFFF * 8/ 10,0XFFFF * 9 / 10,0XF300]
#y=[1,3006,5997,8992,11991,14988,17986,20983,23980,26978,28453]
y=[1,3006,5997,8992,11991,14988,17986,20983,23980,26978,28453]

c=[0,0XF300]
d=[1,28453]

mpl.rcParams['figure.facecolor'] = 'silver'
plt.rcParams['axes.facecolor'] = 'silver'

ax = plt.gca()
#去掉边框
#ax.spines['top'].set_color('none')
#ax.spines['right'].set_color('none')
#移位置 设为原点相交
ax.xaxis.set_ticks_position('bottom')
ax.spines['bottom'].set_position(('data',0))
ax.yaxis.set_ticks_position('left')
ax.spines['left'].set_position(('data',0))



plt.title('Title')


plt.plot(c, d, linewidth = 1.0,color='red', label='test2')

plt.plot(x, y,linewidth = 1.0, color='blue', label='test1')
plt.plot(x, y, 'om')

plt.legend()  # 显示图例


plt.xticks(range(0, 0XF300, 5000)) 
plt.xticks(rotation = 90)
plt.yticks(range(0, 30000, 5000)) 

plt.axis('equal')
plt.xlabel('X')
plt.ylabel('Y')
#plt.savefig("C:/Users/Watson/Desktop/test.jpg")
plt.show()

二、效果图如下