BigCodeBench / BigCodeBench v0.1.0_hf 9d3f00e5-7c26-5513-bdbd-bc48d52e2986

complete prompt

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns


def task_func(list_of_pairs):
    """
    Create a Pandas DataFrame from a list of pairs and visualize the data using a bar chart.
    - The title of the barplot should be set to 'Category vs Value'`.

    Parameters:
    list_of_pairs (list of tuple): Each tuple contains:
        - str: Category name.
        - int: Associated value.

    Returns:
    tuple:
        - DataFrame: A pandas DataFrame with columns 'Category' and 'Value'.
        - Axes: A matplotlib Axes displaying a bar chart of categories vs. values.

    Requirements:
    - pandas
    - matplotlib.pyplot
    - seaborn

    Example:
    >>> list_of_pairs = [('Fruits', 5), ('Vegetables', 9)]
    >>> df, ax = task_func(list_of_pairs)
    >>> print(df)
         Category  Value
    0      Fruits      5
    1  Vegetables      9
    """

instruct prompt

Create a Pandas DataFrame from a list of pairs and visualize the data using a bar chart. - The title of the barplot should be set to 'Category vs Value'`.
The function should output with:
    tuple:
    DataFrame: A pandas DataFrame with columns 'Category' and 'Value'.
    Axes: A matplotlib Axes displaying a bar chart of categories vs. values.
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def task_func(list_of_pairs):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def task_func(list_of_pairs):

entry point

task_func

libs

• pandas
• matplotlib
• seaborn