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python_读取txt文件绘制多条曲线II

news 2025/8/15 2:39:41

从给定的列表中来匹配txt文件对应列的数据；

import matplotlib.pyplot as plt
import re
from datetime import datetime
from pylab import mplmpl.rcParams["font.sans-serif"] = ["SimHei"]  # 设置显示中文字体
mpl.rcParams["axes.unicode_minus"] = False  # 设置正常显示符号# 需要匹配的数据
sys = [(1, 8, 0), (1, 8, 1), (1, 14, 0), (1, 14, 1)]"""
out_los_GDHZ.txt文件内容
2024/03/05 05:50:01  sys:  1,prn:  8, f :  0, rr :  22776258.520521, cdts :  9499.326017, dtrpr :  0.000000, ionxr :  16.994414, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  8, f :  0, rr :  22776258.520521, cdts :  9499.326017, dtrpr :  0.000000, ionxr :  16.994414, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  8, f :  1, rr :  22776258.520521, cdts :  9499.326017, dtrpr :  0.000000, ionxr :  30.475578, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  8, f :  1, rr :  22776258.520521, cdts :  9499.326017, dtrpr :  0.000000, ionxr :  30.475578, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  14, f :  0, rr :  23343648.060891, cdts :  102648.741372, dtrpr :  0.000000, ionxr :  19.831918, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  14, f :  0, rr :  23343648.060891, cdts :  102648.741372, dtrpr :  0.000000, ionxr :  19.831918, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  14, f :  1, rr :  23343648.060891, cdts :  102648.741372, dtrpr :  0.000000, ionxr :  35.563990, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  14, f :  1, rr :  23343648.060891, cdts :  102648.741372, dtrpr :  0.000000, ionxr :  35.563990, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  30, f :  0, rr :  21635324.825727, cdts : -127128.592610, dtrpr :  0.000000, ionxr :  14.159144, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
2024/03/05 05:50:01  sys:  1,prn:  30, f :  0, rr :  21635324.825727, cdts : -127128.592610, dtrpr :  0.000000, ionxr :  14.159144, dantr :  0.000000, dantrr[findex] :  0.000000, scb :  0.000000, 
"""with open('out_los_GDHZ.txt', 'r') as file:lines = file.readlines()ls = len(sys)# 使用字典推导式生成对应数量的空列表和0，并为它们重新命名time_lists = {f'time_list_{i}': [] for i in range(ls)}ionxr_lists = {f'ionxr_list_{i}': [] for i in range(ls)}count_lists = {f'count_list_{i}': 0 for i in range(ls)}# 因数据重复，隔行读取数据for line in lines[::2]:# 多个分隔符来分割temp = re.split("[,| ]+", line)for j in range(0, len(sys)):if (temp[3] == str(sys[j][0])) & (temp[5] == str(sys[j][1])) & (temp[8] == str(sys[j][2])):datee = temp[0]timee = temp[1]ionxr = temp[20]dt = datee + " " + timeetime_list = datetime.strptime(dt, "%Y/%m/%d %H:%M:%S")time_lists['time_list_' + str(j)].append(time_list)ionxr_lists['ionxr_list_' + str(j)].append(ionxr)count_lists['count_list_' + str(j)] += 1# print(time_lists['time_list_'+str(j)],ionxr_lists['ionxr_list_'+str(j)])# 绘制线形图plt.title(u'电离层活跃状况')for j in range(0, len(sys)):plt.plot(time_lists['time_list_' + str(j)], ionxr_lists['ionxr_list_' + str(j)])print(count_lists['count_list_' + str(j)])# 设置x轴标签和y轴标签plt.xlabel(u"日期")plt.ylabel(u"电离层系数")# 显示图表plt.show()

效果如下：