BigCodeBench / BigCodeBench v0.1.0_hf 85bb3637-3e15-58c7-8f5c-d57feb727bfd

complete prompt

import pandas as pd
import matplotlib.pyplot as plt
from random import randint


def task_func(num_types=5, integer_range=(0, 100)):
    """
    Generate a DataFrame containing random integer values across a specified number of categories,
    and visualize these data as a horizontal stacked bar chart.

    Parameters:
    num_types (int, optional): The number of distinct categories for which data will be generated. Defaults to 5.
    integer_range (tuple, optional): The inclusive range from which random integers are drawn. Defaults to (0, 100).

    Returns:
    tuple: A tuple containing a matplotlib Figure and Axes objects for the generated plot.

    Requirements:
    - pandas
    - matplotlib
    - random

    Note:
    The plot displays categories on the y-axis and their corresponding values on the x-axis, with
    data segmented by category.

    Example:
    >>> fig, ax = task_func(3, (0, 50))
    >>> isinstance(fig, plt.Figure)
    True
    """

instruct prompt

Generate a DataFrame containing random integer values across a specified number of categories, and visualize these data as a horizontal stacked bar chart.
Note that: The plot displays categories on the y-axis and their corresponding values on the x-axis, with data segmented by category.
The function should output with:
    tuple: A tuple containing a matplotlib Figure and Axes objects for the generated plot.
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
from random import randint
def task_func(num_types=5, integer_range=(0, 100)):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
from random import randint
def task_func(num_types=5, integer_range=(0, 100)):

entry point

task_func

libs

• pandas
• random
• matplotlib