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BigCodeBench / BigCodeBench v0.1.0_hf e606f65b-497f-5a55-8af0-3d9596b269f0

Problem

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

complete prompt

import json
import numpy as np

def task_func(df):
    """
    Given a DataFrame with random values and an 'IntCol' column, transform the 'IntCol' column by a logarithm (base 10) and write it to a `IntCol.json` file as a list. Also return the DataFrame.

    Parameters:
    - df (DataFrame): A pandas DataFrame with a 'IntCol' column.

    Returns:
    - df (DataFrame): A pandas DataFrame to describe the transformed data.

    Requirements:
    - json
    - pandas
    - numpy
    - os

    Example:
    >>> df = pd.DataFrame({'IntCol': [10, 100, 1000, 10000, 100000]})
    >>> df_transformed = task_func(df)
    >>> print(df_transformed)
       IntCol
    0     1.0
    1     2.0
    2     3.0
    3     4.0
    4     5.0

    """

instruct prompt

Given a DataFrame with random values and an 'IntCol' column, transform the 'IntCol' column by a logarithm (base 10) and write it to a `IntCol.json` file as a list. Also return the DataFrame.
The function should output with:
    df (DataFrame): A pandas DataFrame to describe the transformed data.
You should write self-contained code starting with:

Code

import json
import numpy as np
def task_func(df):

code prompt

Code

import json
import numpy as np
def task_func(df):

entry point

task_func

libs

  • numpy
  • json

Discussion

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Source and history

task_id
e606f65b-497f-5a55-8af0-3d9596b269f0
task_key
default--v0~2e1~2e0~5fhf--e606f65b-497f-5a55-8af0-3d9596b269f0
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import