BigCodeBench / BigCodeBench v0.1.0_hf c1cc4aae-080b-51c7-b2a1-242f00055120

complete prompt

import ast
import pandas as pd
import seaborn as sns


def task_func(csv_file):
    """
    Read a CSV file, convert the string representations of dictionaries in a specific column ('dict_column') to Python dictionaries, and visualize the data with Seaborn's pairplot.

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

    Returns:
    tuple: A tuple containing:
        - df (DataFrame): The DataFrame after reading and processing the CSV file.
        - ax (PairGrid): Seaborn's PairGrid object after plotting.

    Requirements:
    - ast
    - pandas
    - seaborn

    Example:
    >>> df, ax = task_func('data/task_func/csv_1.csv')
    >>> type(df)
    <class 'pandas.core.frame.DataFrame'>
    >>> type(ax)
    <class 'seaborn.axisgrid.PairGrid'>
    """

instruct prompt

Read a CSV file, convert the string representations of dictionaries in a specific column ('dict_column') to Python dictionaries, and visualize the data with Seaborn's pairplot.
The function should output with:
    tuple: A tuple containing:
    df (DataFrame): The DataFrame after reading and processing the CSV file.
    ax (PairGrid): Seaborn's PairGrid object after plotting.
You should write self-contained code starting with:

Code

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

code prompt

Code

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

entry point

task_func

libs

• ast
• pandas
• seaborn