从 txt 文件中提取特定数字并将它们插入到数据框中

Question

晚上好，我需要一些帮助来从文本文件中提取两个数字并将它们插入到数据框中。

这是我的 txt 文件：

PING 10.0.12.100 (10.0.12.100) 56(84) bytes of data.
64 bytes from 10.0.12.100: icmp_seq=1 ttl=59 time=0.094 ms
64 bytes from 10.0.12.100: icmp_seq=2 ttl=59 time=0.070 ms
64 bytes from 10.0.12.100: icmp_seq=3 ttl=59 time=0.076 ms
64 bytes from 10.0.12.100: icmp_seq=4 ttl=59 time=0.075 ms
64 bytes from 10.0.12.100: icmp_seq=5 ttl=59 time=0.070 ms
64 bytes from 10.0.12.100: icmp_seq=6 ttl=59 time=0.060 ms
64 bytes from 10.0.12.100: icmp_seq=7 ttl=59 time=0.093 ms
64 bytes from 10.0.12.100: icmp_seq=8 ttl=59 time=0.080 ms
64 bytes from 10.0.12.100: icmp_seq=9 ttl=59 time=0.077 ms
64 bytes from 10.0.12.100: icmp_seq=10 ttl=59 time=0.082 ms
64 bytes from 10.0.12.100: icmp_seq=11 ttl=59 time=0.070 ms
64 bytes from 10.0.12.100: icmp_seq=12 ttl=59 time=0.075 ms
64 bytes from 10.0.12.100: icmp_seq=13 ttl=59 time=0.087 ms
64 bytes from 10.0.12.100: icmp_seq=14 ttl=59 time=0.069 ms
64 bytes from 10.0.12.100: icmp_seq=15 ttl=59 time=0.072 ms
64 bytes from 10.0.12.100: icmp_seq=16 ttl=59 time=0.079 ms
64 bytes from 10.0.12.100: icmp_seq=17 ttl=59 time=0.096 ms
64 bytes from 10.0.12.100: icmp_seq=18 ttl=59 time=0.071 ms

--- 10.0.12.100 ping statistics ---
18 packets transmitted, 18 received, 0% packet loss, time 17429ms
rtt min/avg/max/mdev = 0.060/0.077/0.096/0.013 ms

我想要一个像这样的数据框：

这是我的代码：

import pandas as pd

df = pd.DataFrame(columns=["ICMP_SEQ", "TIME"])

with open("/content/H11H22_ping.txt", "r") as f:
  txt = f.read() 
  print(txt)

  // code

  df = df.append({"ICMP_SEQ": icmp_seq, "TIME": time})

谢谢

Answer 1

使用str.extract:

df = pd.read_csv('/content/H11H22_ping.txt', skiprows=1, header=None, names=['logs'])
res = df['logs'].str.extract(r'icmp_seq=(?P<icmp_seq>\d+)\b.+\btime=(?P<time>\d+\.\d+)', expand=True)
print(res)

输出 （部分）

   icmp_seq   time
0         1  0.094
1         2  0.070
2         3  0.076
3         4  0.075
4         5  0.070
5         6  0.060
6         7  0.093
7         8  0.080
8         9  0.077
9        10  0.082
10       11  0.070
11       12  0.075
12       13  0.087
13       14  0.069
14       15  0.072
15       16  0.079
16       17  0.096
17       18  0.071
...

从 txt 文件中提取特定数字并将它们插入到数据框中

Extract specific numbers from txt files and insert them into a data frame

python

text-mining

dataframe