BigCodeBench / BigCodeBench v0.1.0_hf ba804448-3170-594c-b02e-2629610c42dc

complete prompt

import pandas as pd
import os
import numpy as np
import ast

def task_func(directory):
    """
    Traverse a directory for CSV files a get the file with the longest filename. From that CSV file, load e-mail data, convert it into a Pandas DataFrame, calculate the sum, mean and median of the list associated with each e-mail, and then draw a histogram of the median.
    - The column names of each CSV files are 'email' and 'list'.
    - The column 'list' contains a string representation of a list. It should be converted before usage.
    - If there is not csv file in the directory, return an empty dataframe with the columns expected.
    - If there is not csv file in the directory, return None instead of an empty plot.

    Parameters:
    - directory (str): The path to the directory.

    Returns:
    - pandas.DataFrame : DataFrame containing the data from the CSV file with the longest filename augmented with the columns 'sum', 'mean' and 'median'.
    - matplotlib.axes._axes.Axes : Histogram of the median. None if there is no data to plot.

    Requirements:
    - pandas
    - os
    - numpy
    - ast

    Example:
    >>> task_func('data_directory')
    """

instruct prompt

Traverse a directory for CSV files a get the file with the longest filename. From that CSV file, load e-mail data, convert it into a Pandas DataFrame, calculate the sum, mean and median of the list associated with each e-mail, and then draw a histogram of the median. - The column names of each CSV files are 'email' and 'list'. - The column 'list' contains a string representation of a list. It should be converted before usage. - If there is not csv file in the directory, return an empty dataframe with the columns expected. - If there is not csv file in the directory, return None instead of an empty plot.
The function should output with:
    pandas.DataFrame : DataFrame containing the data from the CSV file with the longest filename augmented with the columns 'sum', 'mean' and 'median'.
    matplotlib.axes._axes.Axes : Histogram of the median. None if there is no data to plot.
You should write self-contained code starting with:

Code

import pandas as pd
import os
import numpy as np
import ast
def task_func(directory):

code prompt

Code

import pandas as pd
import os
import numpy as np
import ast
def task_func(directory):

entry point

task_func

libs

• pandas
• numpy
• ast
• os