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- import pandas as pd
- import os
- file = os.path.abspath('C:\\Zerodha\\Pi\\Exported\\Nifty 50.csv')
- df = pd.read_csv(file)
- df['Date'] = pd.to_datetime(df['Date'], format = '%d/%m/%y %I:%M:%S %p')
- df['Time'] = df['Date'].apply(lambda x: x.strftime('%H:%M'))
- df['Date'] = df['Date'].apply(lambda x: x.strftime('%y-%m-%d'))
- df.set_index('Date', drop=True, inplace=True)
- df.columns = ['O', 'H', 'L', 'C', 'V', 'Time']
- df.to_csv('Nifty 50.csv')
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