Chat GPT prompt 1

answer.py

import pandas as pd
import time
from datetime import datetime

# Read the input CSV file
df = pd.read_csv("input.csv")

# Convert the first column to milliseconds from midnight
df['Timestamp'] = df['Timestamp'].apply(lambda x: int((datetime.strptime(x, '%Y-%m-%d %H:%M:%S') - datetime.strptime("00:00:00", '%H:%M:%S')).total_seconds() * 1000))

# Split the dataframe into smaller dataframes based on the date
dfs = {k: v for k, v in df.groupby(df['Timestamp'].dt.date)}

# Write the smaller dataframes to individual CSV files
for date, data in dfs.items():
    data.to_csv(f"{date}.csv", index=False)

input.txt

I want to create a python script to convert large CSV into individual CSV files.

The input file has this format:

2023-01-06 16:59:00,3913.50,3913.75,3913.25,3913.75,327

The output file has this format:

82740000,3913.5,3913.75,3913.25,3913.75,327

The only conversion I want to do is the first column: Instead of the date, I want the milliseconds that have happened from midnight.

Also, I want to split the input file into smaller files: I want to create one file per day.