BigCodeBench / BigCodeBench v0.1.0_hf 051e9597-9a36-5650-b65d-856782388d61

complete prompt

import numpy as np
import pandas as pd
from datetime import datetime, timedelta

def task_func(start_date, end_date, seed=42):
    """
    Generate random sales data for each day between a start and end date, inclusive.
    Returns the data and a plot of sales over time.

    Parameters:
    start_date (datetime): The start date.
    end_date (datetime): The end date.
    seed (int): Seed for the random number generator. Default is 42.

    Returns:
    DataFrame: A pandas DataFrame with columns 'Date' and 'Sales'.
    Axes: A matplotlib Axes object of the plot showing the sales overtime.
    
    sales ranges 0 to 500 and it is an integer

    Requirements:
    - numpy
    - pandas
    - datetime

    Example:
    >>> start_date = datetime(2021, 1, 1)
    >>> end_date = datetime(2021, 12, 31)
    >>> data, plot = task_func(start_date, end_date)
    >>> print(data.head())
            Date  Sales
    0 2021-01-01    102
    1 2021-01-02    435
    2 2021-01-03    348
    3 2021-01-04    270
    4 2021-01-05    106
    """

instruct prompt

Generate random sales data for each day between a start and end date, inclusive. Returns the data and a plot of sales over time. sales ranges 0 to 500 and it is an integer
The function should output with:
    DataFrame: A pandas DataFrame with columns 'Date' and 'Sales'.
    Axes: A matplotlib Axes object of the plot showing the sales overtime.
You should write self-contained code starting with:

Code

import numpy as np
import pandas as pd
from datetime import datetime, timedelta
def task_func(start_date, end_date, seed=42):

code prompt

Code

import numpy as np
import pandas as pd
from datetime import datetime, timedelta
def task_func(start_date, end_date, seed=42):

entry point

task_func

libs

• pandas
• datetime
• numpy