画Androidapp输出log文件

画Androidapp输出log文件

文本格式如下

2020-04-29 16:40:40-i-卫星号：G02   290458.000001024
2020-04-29 16:40:40-i-双差跳:64.75093404948711
2020-04-29 16:40:40-i-  flag:0.97
2020-04-29 16:40:40-i-当前伪距:24819423.960
2020-04-29 16:40:40-i-平滑历元单差:508.8560445420444
2020-04-29 16:40:40-i-不平滑历元单差:444.2999938726425
2020-04-29 16:40:40-i-前一历元伪距率：-518.405330157475
2020-04-29 16:40:40-i-当前历元伪距率：-518.9446717185651
2020-04-29 16:40:40-i-    伪距率求差:0.5393415610901684

python代码

# -*-coding:utf-8 -*-需要用rtklib转换成NEU然后使用此脚本画图
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import os
from pylab import *
from mpl_toolkits.axisartist.axislines import SubplotZero
import matplotlib.font_manager as fmmyfont = fm.FontProperties(fname='C:/Windows/')Params['font.sans-serif'] = ['simsun']
Params['axes.unicode_minus'] = False
Params['font.sans-serif']=['SimHei']def mkdir(path):folder = ists(path)if not folder:  # 判断是否存在文件夹如果不存在则创建为文件夹os.makedirs(path)  # makedirs 创建文件时如果路径不存在会创建这个路径print( "---    ---")print(        "---  OK  ---")else:print(        "---  There is this folder!  ---")#读取指定数据
def readFile(filename,str):f = open(filename, 'r',encoding='utf-8')  # 如果文件不是uft-8编码方式，读取文件可能报错dataLines = f.readlines()  # 返回list，文件的每一行作为list的一个字符串元素# dataLines = dataLines[200:-250]  #读取行数的起始位置data=[]for i in dataLines:if (str in i):data.append(i)f.close()  # 关闭文件return datadef plotfuction(filename):ph=readFile(filename,'-平滑历元单差')uph=readFile(filename,'-不平滑历元单差')pr=readFile(filename,'-当前历元伪距率')dataph=[]datauph=[]datapr=[]for i in ph:if((np.fabs(float(i[29:-1]))<10000.0)and(np.fabs(float(i[29:-1]))!=0)):dataph.append(float(i[29:-1]))for i in uph:if((np.fabs(float(i[30:-1]))<10000.0)and(np.fabs(float(i[30:-1]))!=0)):datauph.append(float(i[30:-1]))for i in pr:if((np.fabs(float(i[30:-1]))<10000.0)and(np.fabs(float(i[30:-1]))!=0)):datapr.append(np.fabs(float(i[30:-1])))epho= np.linspace(1, len(dataph), len(dataph))epho2= np.linspace(1, len(datauph),len(datauph))epho3 = np.linspace(1, len(datapr), len(datapr))plt.plot(epho2, datauph, 'b',label="原始伪距历元间差")plt.plot(epho, dataph, 'r', label="平滑历元间差")plt.plot(epho3, datapr, 'g', label="手机输出伪距率") plt.xlabel('历元数/s')plt.ylabel('历元间伪距差/米')id(True)plt.legend(loc=1)plt.savefig("历元间单差.png", dpi=300)plt.close()plt.plot(epho2, datauph, 'b',label="原始伪距历元间差")plt.xlabel('历元数/s')plt.ylabel('历元间伪距差/米')id(True)plt.legend(loc=1)plt.savefig("原始伪距历元间差.png", dpi=300)plt.close()plt.plot(epho, dataph, 'r', label="平滑历元间差")plt.xlabel('历元数/s')plt.ylabel('历元间伪距差/米')id(True)plt.legend(loc=1)plt.savefig("平滑历元间差.png", dpi=300)plt.close()plt.plot(epho3, datapr, 'g', label="手机输出伪距率")plt.xlabel('历元数/s')plt.ylabel('历元间伪距差/米')id(True)plt.legend(loc=1)plt.savefig("手机输出伪距率.png", dpi=300)plt.close()plotfuction(&#')