Created
August 25, 2020 02:43
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generate_random_data
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| import pandas as pd | |
| import random | |
| import datetime | |
| def random_dt_bw(start_date,end_date): | |
| days_between = (end_date - start_date).days | |
| random_num_days = random.randrange(days_between) | |
| random_dt = start_date + datetime.timedelta(days=random_num_days) | |
| return random_dt | |
| def generate_data(n=1000): | |
| items = [f"i_{x}" for x in range(n)] | |
| start_dates = [random_dt_bw(datetime.date(2020,1,1),datetime.date(2020,9,1)) for x in range(n)] | |
| end_dates = [x + datetime.timedelta(days=random.randint(1,10)) for x in start_dates] | |
| offerDf = pd.DataFrame({"Item":items, | |
| "StartDt":start_dates, | |
| "EndDt":end_dates}) | |
| transaction_items = [f"i_{random.randint(0,n)}" for x in range(5*n)] | |
| transaction_dt = [random_dt_bw(datetime.date(2020,1,1),datetime.date(2020,9,1)) for x in range(5*n)] | |
| sales_amt = [random.randint(0,1000) for x in range(5*n)] | |
| transactionDf = pd.DataFrame({"Item":transaction_items,"TransactionDt":transaction_dt,"Sales":sales_amt}) | |
| return offerDf,transactionDf |
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