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Create dataframe from txt file

Time:03-01

I have a text file that has the following structure

"ts": "2021-01-29T00:06:46.929363"
"from": "text"
"to": "text"
"body": "text"

The txt file is quite large.

How can I create a dataframe with the following structure

ts from to body
timestamp text text text
timestamp text text text
timestamp text text text
timestamp text text text
timestamp text text text

Any help is much appreciated!

CodePudding user response:

Read the file, and use each line to update a dict, when there is 4 keys, save them and start a new dict, finally build the dataframe

import pandas as pd

with open("data.txt") as f:
    batch = {}
    result = []
    for line in f:
        key, value = line.rstrip().split(":", maxsplit=1)
        batch[key.strip('" ')] = value.strip('" ')
        if len(batch) == 4:
            result.append(batch)
            batch = {}

df = pd.DataFrame(result)
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