BigCodeBench / BigCodeBench v0.1.0_hf ece9589a-6ced-5394-a5fd-27c9d199d42d

complete prompt

import pandas as pd
import json
import numpy as np

# Constants
COLUMNS = ['email', 'list']

def task_func(json_file):
    """
    Load e-mail data from a JSON file, convert it into a Pandas DataFrame, calculate the sum and mean
    of the list associated with each e-mail, and then record those values. Additionally, it plots the sum
    and mean values for each email.

    If there is no e-mail data, return an empty dataframe with the right columns (['email', 'list', 'sum', 'mean']), and None as the plot.

    Parameters:
    json_file (str): The path to the JSON file. The JSON file should have the structure:
                     [
                         {"email": "email1@example.com", "list": [value1, value2, ...]},
                         ...
                     ]

    Returns:
    tuple: A tuple containing:
        - DataFrame: A pandas DataFrame with columns ['email', 'list', 'sum', 'mean'].
        - Axes: The Axes object for the plot. None if the dataframe is empty.

    Requirements:
    - pandas
    - json
    - numpy

    Example:
    >>> df, ax = task_func('data/task_func/json_1.json')
    >>> print(df)
    """

instruct prompt

Load e-mail data from a JSON file, convert it into a Pandas DataFrame, calculate the sum and mean of the list associated with each e-mail, and then record those values. Additionally, it plots the sum and mean values for each email. If there is no e-mail data, return an empty dataframe with the right columns (['email', 'list', 'sum', 'mean']), and None as the plot.
The function should output with:
    tuple: A tuple containing:
    DataFrame: A pandas DataFrame with columns ['email', 'list', 'sum', 'mean'].
    Axes: The Axes object for the plot. None if the dataframe is empty.
You should write self-contained code starting with:

Code

import pandas as pd
import json
import numpy as np
# Constants
COLUMNS = ['email', 'list']
def task_func(json_file):

code prompt

Code

import pandas as pd
import json
import numpy as np
# Constants
COLUMNS = ['email', 'list']
def task_func(json_file):

entry point

task_func

libs

• pandas
• numpy
• json