BigCodeBench / BigCodeBench v0.1.0_hf 71e2cc5d-1013-5451-b3a6-ae89d0e5daed

complete prompt

import numpy as np
import pandas as pd

def task_func(students=["Alice", "Bob", "Charlie", "David", "Eve"], seed=42):
    """
    Generate random scores for a given list of students, sort these scores in ascending order,
    and return both the scores and a bar plot of these scores.

    Parameters:
    students (list of str): List of student names.
    seed (int): Seed for the random number generator. Default is 42.

    Returns:
    DataFrame: A pandas DataFrame with columns 'Student' and 'Score', sorted by 'Score'.
    Axes: A matplotlib Axes object containing the bar plot of scores.

    use np.random.randint(0, 100) to generate the scores of the students

    Requirements:
    - numpy
    - pandas

    Example:
    >>> scores, plot = task_func()
    >>> print(scores)
       Student  Score
    2  Charlie     14
    0    Alice     51
    4      Eve     60
    3    David     71
    1      Bob     92
    """

instruct prompt

Generate random scores for a given list of students, sort these scores in ascending order, and return both the scores and a bar plot of these scores. use np.random.randint(0, 100) to generate the scores of the students
The function should output with:
    DataFrame: A pandas DataFrame with columns 'Student' and 'Score', sorted by 'Score'.
    Axes: A matplotlib Axes object containing the bar plot of scores.
You should write self-contained code starting with:

Code

import numpy as np
import pandas as pd
def task_func(students=["Alice", "Bob", "Charlie", "David", "Eve"], seed=42):

code prompt

Code

import numpy as np
import pandas as pd
def task_func(students=["Alice", "Bob", "Charlie", "David", "Eve"], seed=42):

entry point

task_func

libs

• pandas
• numpy