00:00:08
section A 76.21
section B 76.54
section C 76.66
section D 77.87
00:15:30
section A 76.23
section B 76.89
section C 77.98
section D 78.60
…

import matplotlib.cm as cm
from matplotlib.dates import DateFormatter
from datetime import datetime
import re
def main():
file = r"C:\Users\sarad\ss1.dat.log"
index =[]
month =[]
day =[]
year =[]
hour =[]
minute =[]
second =[]
s1 =[]
s2 =[]
s3 =[]
s4 =[]
s5 =[]
s6 =[]
s7 =[]
s8 =[]
with open(file) as line:
while True:
result=re.findall(r"(\d+(?:.\d+){0,1})",line.read())
if not result:
break
hour.append(int((result[0])))
minute.append(int((result[1])))
second.append(int((result[2])))
s1.append(float(result[3]))
s2.append(float(result[4]))
s3.append(float(result[5]))
s4.append(float(result[6]))
s5.append(float(result[7]))
s6.append(float(result[8]))
s7.append(float(result[9]))
s8.append(float(result[10])) ```
I have to use loop somehow and read all the datas . 
Beside that i need to plot the datas vs time . How do i do that in code ? I tried with datetime function but that is not working. 
Could you give some idea ?
Thank you.
I described it in the previous section.
The python is 3.11 version. 
</details>
# 答案1
**得分**: 1
Here's the translated code part:
```python
你的文本结构看起来非常良好。解析它不应该是问题。以下是我会如何处理它的方式。
import pandas as pd
import matplotlib.pyplot as plt
from collections import defaultdict
text = '''
00:00:08
section A 76.21
section B 76.54
section C 76.66
section D 77.87
00:15:30
section A 76.23
section B 76.89
section C 77.98
section D 78.60
'''
table = defaultdict(dict)
for line in text.split('\n'):
    if line:
        entry = line.strip()
        if ':' in entry:
            t = entry
        else:
            _, sample, data = entry.split()
            table[t].update({sample:float(data)})
print(table)
df = pd.DataFrame(table).T
print(df)
df.plot()
# 设置刻度标签和旋转
plt.xticks(
    ticks=range(len(df)),
    labels=df.index,
    rotation=45
)
plt.show()
```
Please note that I've only translated the code part, as requested.
<details>
<summary>英文:</summary>
Your text looks very well structured. It shouldn&#39;t be a problem to parse it. Here is how I would do it.
    import pandas as pd
    import matplotlib.pyplot as plt
    from collections import defaultdict
    
    text = &#39;&#39;&#39;
    00:00:08
    section A 76.21
    section B 76.54
    section C 76.66
    section D 77.87
    00:15:30
    section A 76.23
    section B 76.89
    section C 77.98
    section D 78.60
    &#39;&#39;&#39;
    
    table = defaultdict(dict)
    for line in text.split(&#39;\n&#39;):
        if line:
            entry = line.strip()
            if &#39;:&#39; in entry:
                t = entry
            else:
                _, sample, data = entry.split()
                table[t].update({sample:float(data)})
    
    print(table)
    #defaultdict(&lt;class &#39;dict&#39;&gt;, {&#39;00:00:08&#39;: {&#39;A&#39;: 76.21, &#39;B&#39;: 76.54, &#39;C&#39;: 76.66, &#39;D&#39;: 77.87}, &#39;00:15:30&#39;: {&#39;A&#39;: 76.23, &#39;B&#39;: 76.89, &#39;C&#39;: 77.98, &#39;D&#39;: 78.6}})
    df = pd.DataFrame(table).T
    print(df)
    #              A      B      C      D
    #00:00:08  76.21  76.54  76.66  77.87
    #00:15:30  76.23  76.89  77.98  78.60
    df.plot()
    #set ticks labels and rotation
    plt.xticks(
        ticks = range(len(df)),
        labels = df.index,
        rotation = 45
    ) 
    plt.show()
[![enter image description here][1]][1]
To read from file:
    file_name = &#39;myfile.txt&#39;
    with open(file_name, &#39;r&#39;) as f:
        for line in f:
            entry = line.strip():
            if entry:
    
                if line.strip():
                    if &#39;:&#39; in entry:
                    t = entry
                else:
                    _, sample, data = entry.split()
                    table[t].update({sample:float(data)})
    ...
  [1]: https://i.stack.imgur.com/PHQF9.png
</details>