BigCodeBench / BigCodeBench v0.1.0_hf d64cf892-52a1-5942-8a6a-ba0d164e29fe

complete prompt

import pandas as pd
import seaborn as sns
import numpy as np
import ast

def task_func(csv_file):
    """
    Load e-mail data from a CSV file, convert it into a Pandas DataFrame, and calculate the sum, mean, and standard deviation of the list associated with each e-mail. Additionally, this function will
    draw a histogram of the mean values and return both the DataFrame and the histogram plot.

    Parameters:
    - csv_file (str): The path to the CSV file containing email data.

    Returns:
    - tuple: A tuple containing two elements:
        - DataFrame: A pandas DataFrame with columns 'email', 'list', 'sum', 'mean', and 'std'.
        - Axes: A histogram plot of the mean values.

    Requirements:
    - pandas
    - seaborn
    - numpy
    - ast

    Example:
    >>> df, plot = task_func('data/task_func/csv_1.csv')
    >>> print(df.head())
    >>> print(type(plot))
    """

instruct prompt

Load e-mail data from a CSV file, convert it into a Pandas DataFrame, and calculate the sum, mean, and standard deviation of the list associated with each e-mail. Additionally, this function will draw a histogram of the mean values and return both the DataFrame and the histogram plot.
The function should output with:
    tuple: A tuple containing two elements:
    DataFrame: A pandas DataFrame with columns 'email', 'list', 'sum', 'mean', and 'std'.
    Axes: A histogram plot of the mean values.
You should write self-contained code starting with:

Code

import pandas as pd
import seaborn as sns
import numpy as np
import ast
def task_func(csv_file):

code prompt

Code

import pandas as pd
import seaborn as sns
import numpy as np
import ast
def task_func(csv_file):

entry point

task_func

libs

• ast
• pandas
• numpy
• seaborn