Question

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我从上面的数据中提取了以下数据。其中包含时间和数字。我想使用matplotlib将数据绘制为时间序列。

let city = tweetsDict["place"]?["full_name"] as? String ?? "Unknown city"

我是以下代码。

  03/12 20:23:26.11: 04:23:26 L9 <Mx  Acc  Magnum All            XDV:00111A0000000117 00D3001200870172 01FF6000F01CFE81 3D26000000000300
    03/12 20:23:26.11: 04:23:26 L9 <Mx  Acc  MID 0x1500 Len 26   XDV:00111A0000000117 00D3001200870172 01FF6000F01CFE81 3D26000000000300
    03/12 20:23:26.11: 04:23:26 L8 <Mx  JK31 (Mx)                  JSP:17.37.6.99: Size = 166, Data: 00345C4101003031 E463EF0113108701 5A01FF6008F01CFE 81AB170000000003 EF01131087015A01 FF6008F01CFE81AB 170000000003EF01 131087015B01FF60 00F01CFE81701B00 00000003EF011310 87015B01FF6000F0 1CFE81701B000000 0003EF0113108701 5C01FF2000F01CFE 81CB240000000003 EF01131087015C01 57CC00F01CFE81CB 240000000003EF01 131087015D01FF20 00F01CFE815B2900 00000003EF011310 87015D01FF2000F0 1CFE815B29000000 0003EF0113108701 5E01FF6000F01CFE 819D280000000003 EF01131087015E01 FF6000F01CFE819D 0003
    03/15 20:23:26.11: 04:23:26 L8 <Kx  JK49 (Kx)                  JSP:15.33.2.93: Size = 163, Data: 00647741000030EF 01131087015A01FF 6008F01CFE81AB17 0000000003EF0113 1087015A01FF6008 F01CFE81AB170000 000003EF01131087 015B01FF6000F01C FE81701B00000000 03EF01131087015B 01FF6000F01CFE81 701B0000000003EF 01131087015C01FF 2000F01CFE81CB24 0000000003EF0113 1087015C01FF2000 F01CFE81CB240000 000003EF01131087 015D01FF2000F01C FE815B2900000000 03EF01131087015D 01FF2000F01CFE81 5B290000000003EF 01131087015E01FF 6000F01CFE819D28 0000000003EF0113 1087015E01FF6000 F01CFE819D280000 A6220000000003
    03/15 20:23:26.11: 04:23:26 L8 <Kx  JK21 (Kx)                  JSP:10.22.1.53:Size = 163, Data: 009D1141000030EF 01131087015A01FF 6008F01CFE81AB17 0000000003EF0113 1087015A01FF6008 F01CFE81AB170000 000003EF01131087 015B01FF6000F01C FE81701B00000000 03EF01131087015B 01FF6000F01CFE81 701B0000000003EF 01131087015C01FF 2000F01CFE81CB24 0000000003EF0113 1087015C01FF2000 F01CFE81CB240000 000003EF01131087 015D01FF2000F01C FE815B2900000000 03EF01131087015D 01FF2000F01CFE81 5B290000000003EF 01131087015E01FF 6000F01CFE819D28 0000000003EF0113 1087015E01FF6000 F01CFE819D280000 A6220000000003

我收到以下错误。

04:20:54 491
04:21:02 33
04:21:04 1063
04:21:04 1063
04:21:04 711
04:21:09 56
04:21:12 73
04:21:14 1066
04:21:14 931
04:21:18 618
04:21:18 51
04:21:22 27
04:21:24 1063
04:21:24 1063
04:21:24 535
04:21:33 24
04:21:33 1063
04:21:33 1063
04:21:33 978
04:21:43 36
04:21:45 1063
04:21:45 1063
04:21:45 755
04:21:53 27
04:21:55 1066
04:21:55 1063
04:21:55 711
04:22:03 30
04:22:05 1069
04:22:05 1063
04:22:05 1063
04:22:05 450
04:22:10 56
04:22:12 76
04:22:15 1066
04:22:15 1063
04:22:15 1066

Answer 1

您可以使用parser中的dateutil包。它处理许多常见格式，而无需指定格式字符串。

from dateutil import parser

import matplotlib.pyplot as plt

match = ("L8 <Mx JK31 (Mx)")
with open("test.txt") as fin:
    print(' : {}', fin.name)
    time_data = []
    size_data = []
    for line in fin:

        if match in line:
           line = line.strip.split()
           time_str = line[2]
           t = parser.parse(time_str)  ## NOTE: changed 'time' to 't', because it's a bad idea to use 'time' as a variable name, since it is a python built-in
           time_data.append(t)
           size = int(line[9].strip(","))
           size_data.append(size)
    plt.plot(time_data, size_data)

另请注意：parser.parse（）返回包含年/月/日值的日期时间对象。如果未指定（如您的示例所示），则年/月/日将设置为当天。

更新：这是一种概括多个匹配字符串的方法：

from dateutil import parser

import matplotlib.pyplot as plt

match_list = ["L8 <Mx JK31 (Mx)", "L9 <Mx JK31 (Mx)"]  ## put all match strings in this list
with open("test.txt") as fin:
    print(' : {}', fin.name)
    time_data = {}  ## save data in dictionaries, with string keys and lists as values
    size_data = {}
    for line in fin:
        for match in match_list:
            if match in line:
               if match not in time_data:
                   time_data[match] = []  ## initialize empty list the first time this key is encountered
                   size_data[match] = []
               line = line.strip.split()
               time_str = line[2]
               t = parser.parse(time_str)  
               time_data[match].append(t)
               size = int(line[9].strip(","))
               size_data[match].append(size)
    for match in match_list:
        plt.figure()  ## create a new figure for each data set
        plt.plot(time_data[match], size_data[match])
    plot.show()  ## simultaneously show all plots

matplotlib - 使用matplotlib绘制时间序列

1 个答案: