Matplotlib画图

关于Matplotlib介绍(2D)https://www.cnblogs.com/shuimohei/p/10739556.html
一个画2D曲线很不错的python工具

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from math import log

import os
filepath=os.path.abspath('..')+"/bin"  #表示当前所处的文件夹上一级文件夹的绝对路径

position = []
position1 = []
quaterntions = []
timestamp = []
tx_index = 0

with open('./points.txt', 'r') as f:  # imu_circle   imu_spline

    data = f.readlines()  # txt中所有字符串读入data
    for line in data:
        odom = line.split()  # 将单个数据分隔开存好
        numbers_float = list(map(float, odom) ) # 转化为浮点数

        position.append([numbers_float[0], numbers_float[ 1]]）
fig = plt.figure()
ax = fig.gca()
xyz = list(zip(*position))
xyz1 = list(zip(*position1))
print
ax.plot(xyz[0],xyz[1], label='Truth',color="blue")
ax.plot(xyz1[0],xyz1[1], label='Noise=1',color="red")
ax.legend()
ax.set_xlabel('x')
ax.set_ylabel('y')
plt.show()

画3d曲线的工具

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

import os
filepath=os.path.abspath('..')+"/bin"  #表示当前所处的文件夹上一级文件夹的绝对路径

position = []
quaterntions = []
timestamp = []
tx_index = 0

with open('./points.txt', 'r') as f:  # imu_circle   imu_spline

    data = f.readlines()  # txt中所有字符串读入data
    for line in data:
        odom = line.split()  # 将单个数据分隔开存好
        numbers_float = list(map(float, odom) ) # 转化为浮点数

        position.append([numbers_float[tx_index], numbers_float[tx_index + 1], numbers_float[tx_index + 2]])


    ### plot 3d
fig = plt.figure()
ax = fig.gca(projection='3d')

xyz = list(zip(*position))
print
ax.plot(xyz[0], xyz[1], xyz[2], label='inte')
ax.legend()

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.show()