Extract parts of a log-file and put it in a dataframe

[hasiro]

This makes a dictionary where "Model" is a key and "Hamilton-C1" the value. You can use dictionary operations to get the keys or the values, or get the value associated with a key.

with open("data.txt", "r") as file:
    items = {}
    for line in file:
        if ":" in line:
            a, b = map(str.strip, line.split(":"))
            items[a] = b

print(items)
print(*items.keys())
print(*items.values())

Output:
{'Model': 'Hamilton-C1', 'S/N': '25576', 'Export timestamp': '2020-09-17_11-03-40', 'SW-Version': '2.2.9'}
Model S/N Export timestamp SW-Version
Hamilton-C1 25576 2020-09-17_11-03-40 2.2.9

If you have no interest in a dictionary make items a list and append items.

with open("data.txt", "r") as file:
    items = []
    for line in file:
        if ":" in line:
            a, b = map(str.strip, line.split(":"))
            items.append(a)

print(items)

\

Output:
['Model', 'S/N', 'Export timestamp', 'SW-Version']

If you want each item in the list to be a list do this.

with open("data.txt", "r") as file:
    items = []
    for line in file:
        if ":" in line:
            a, b = map(str.strip, line.split(":"))
            items.append([b])

print(items)

Output:
[['Hamilton-C1'], ['25576'], ['2020-09-17_11-03-40'], ['2.2.9']]

If every line in you log file is in the form "name: value" you could open this as a CSV file using ":" as the delimiter, or you could read it using pandas.

Thank you for helping. For me is the Output of only the values (last solution) the best.
But If I execute the code, I got the following error:

Output:
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [167], in <module>
      5     for line in file:
      6         if ":" in line:
----> 7             a,b = map(str.strip, line.split(":"))
      8             items.append([b])
     10 print(items)

ValueError: too many values to unpack (expected 2)

How I can deal with this?