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BigCodeBench / BigCodeBench v0.1.0_hf 71ffcb4c-18a5-528d-9855-5d2da49d7d02

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import pandas as pd
import numpy as np


def task_func(days, random_seed=0):
    """
    Generates a spending report DataFrame for the given number of days.

    This function takes a number of days as input and populates a pandas DataFrame
    with fake expenditure data indexed by date. Each day on or after '2023-01-01'
    has its own row. The DataFrame has five columns: Groceries, Entertainment, Rent,
    Utilities, and Miscellaneous, with their integer values independently randomly
    sampled from 0 to 100.

    Parameters:
    - days (int): Number of days for which the report is to be generated.
                  This is used to generate dates starting from '2023-01-01'.
                  For example, a 'days' of 2 will generate data for '2023-01-01',
                  '2023-01-02'.
                  If 0, this function will return a DataFrame with the expected
                  columns that is otherwise empty.
    - random_seed (int): Numpy random seed for reproducibility. Defaults to 0.

    Returns:
    - pd.DataFrame: A DataFrame containing spending details for specified days,
                    with shape (num_days, 5).

    Requirements:
    - pandas
    - numpy

    Example:
    >>> df = task_func(5, random_seed=42)
    >>> type(df)
    <class 'pandas.core.frame.DataFrame'>
    >>> df.head(2)
                Groceries  Entertainment  Rent  Utilities  Miscellaneous
    date                                                                
    2023-01-01         51             20    87         52              1
    2023-01-02         92             82    99          1             63
    """

instruct prompt

Generates a spending report DataFrame for the given number of days. This function takes a number of days as input and populates a pandas DataFrame with fake expenditure data indexed by date. Each day on or after '2023-01-01' has its own row. The DataFrame has five columns: Groceries, Entertainment, Rent, Utilities, and Miscellaneous, with their integer values independently randomly sampled from 0 to 100.
The function should output with:
    pd.DataFrame: A DataFrame containing spending details for specified days,
    with shape (num_days, 5).
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
def task_func(days, random_seed=0):

code prompt

Code

import pandas as pd
import numpy as np
def task_func(days, random_seed=0):

entry point

task_func

libs

  • pandas
  • numpy

Discussion

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Source and history

task_id
71ffcb4c-18a5-528d-9855-5d2da49d7d02
task_key
default--v0~2e1~2e0~5fhf--71ffcb4c-18a5-528d-9855-5d2da49d7d02
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import