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BigCodeBench / BigCodeBench v0.1.0_hf 6217796a-ba40-59b1-beb2-0799a2380c67

Problem

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

complete prompt

import heapq
from scipy import stats

def task_func(df, col1, col2, N=10):
    """
    Find the N largest absolute differences between the corresponding elements
    of two specified columns in a DataFrame, perform a t-Test on the elements
    with these differences, and return the calculated p-value.

    Parameters:
    df (pandas.DataFrame): A DataFrame containing at least two numerical columns to compare.
    col1, col2 (str): Names of the columns to compare.
    N (int, optional): The number of largest differences to consider for the t-Test. Defaults to 10.

    Returns:
    float: The p-value resulting from the t-Test on the elements with the N largest differences.

    Raises:
    ValueError: If specified columns are not in the provided DataFrame.
    ValueError: If N is <= 1.

    Requirements:
    - scipy.stats
    - heapq

    Example:
    >>> df = pd.DataFrame({
    ...     'col1': [99, 86, 90, 70, 86, 95, 56, 98, 80, 81],
    ...     'col2': [21, 11, 21, 1, 26, 40, 4, 50, 34, 37]
    ... })
    >>> p_value = task_func(df, 'col1', 'col2', N=5)
    >>> print(p_value)    
    4.676251508205865e-06

    >>> df = pd.DataFrame({
    ...    'col1': [1, 3, 4, 70],
    ...    'col2': [2, 3, 5, 1]
    ...     })
    >>> p_value = task_func(df, 'col1', 'col2', N=5)
    >>> print(p_value)
    0.3590111759771484


    """

instruct prompt

Find the N largest absolute differences between the corresponding elements of two specified columns in a DataFrame, perform a t-Test on the elements with these differences, and return the calculated p-value. >>> df = pd.DataFrame({ ...    'col1': [1, 3, 4, 70], ...    'col2': [2, 3, 5, 1] ...     }) >>> p_value = task_func(df, 'col1', 'col2', N=5) >>> print(p_value) 0.3590111759771484
The function should raise the exception for: ValueError: If specified columns are not in the provided DataFrame. ValueError: If N is <= 1.
The function should output with:
    float: The p-value resulting from the t-Test on the elements with the N largest differences.
You should write self-contained code starting with:

Code

import heapq
from scipy import stats
def task_func(df, col1, col2, N=10):

code prompt

Code

import heapq
from scipy import stats
def task_func(df, col1, col2, N=10):

entry point

task_func

libs

  • scipy
  • heapq

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Source and history

task_id
6217796a-ba40-59b1-beb2-0799a2380c67
task_key
default--v0~2e1~2e0~5fhf--6217796a-ba40-59b1-beb2-0799a2380c67
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import