BigCodeBench / BigCodeBench v0.1.0_hf 083b2379-c017-5642-9a25-f45132b6ecc7

complete prompt

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


def task_func(num_rows=5, rand_range=(0, 100)):
    """
    Create a DataFrame containing random integer values within a specified range for categories 'A' through 'E',
    and visualize this data with a stacked bar chart.

    Parameters:
    num_rows (int): Specifies the number of rows in the DataFrame.
    rand_range (tuple): Defines the lower and upper bounds for the random number generation, inclusive.

    Returns:
    matplotlib.figure.Figure: The matplotlib Figure object containing the plotted data.

    Requirements:
    - pandas
    - matplotlib
    - random

    Example:
    >>> fig = task_func(num_rows=3, rand_range=(10, 50))
    >>> type(fig)
    <class 'matplotlib.figure.Figure'>
    """

instruct prompt

Create a DataFrame containing random integer values within a specified range for categories 'A' through 'E', and visualize this data with a stacked bar chart.
The function should output with:
    matplotlib.figure.Figure: The matplotlib Figure object containing the plotted data.
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_rows=5, rand_range=(0, 100)):

code prompt

Code

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

entry point

task_func

libs

• pandas
• random
• matplotlib