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BigCodeBench / BigCodeBench v0.1.0_hf 610ce96b-e0f0-5eef-85b0-2335b378a0d4

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import collections
import matplotlib.pyplot as plt


def task_func(data):
    """
    Combine a list of dictionaries with possibly differing keys (student names) into a single dictionary,
    calculate the average score for each student, and return a bar chart of average student scores with
    student on the x-axis and average score on the y-axis.

    This function handles data with varying dictionary lengths and missing keys by averaging available scores,
    ignoring None. If there is any negative score, the function raises ValueError.
    Bar colors can be: 'red', 'yellow', 'green', 'blue', 'purple'.

    Parameters:
    data (list): A list of dictionaries. The keys are student names and the values are scores.

    Returns:
    ax (matplotlib.axes._axes.Axes or None): A bar chart showing the 'Average Student Scores', with
                                             'Student' on the x-axis and 'Average Score' on the y-axis.
                                             If data is empty, return None.

    Requirements:
    - collections
    - matplotlib.pyplot

    Example:
    >>> data = [{'John': 5, 'Jane': 10, 'Joe': 7},\
                {'John': 6, 'Jane': 8, 'Joe': 10},\
                {'John': 5, 'Jane': 9, 'Joe': 8},\
                {'John': 7, 'Jane': 10, 'Joe': 9}]
    >>> ax = task_func(data)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    >>> ax.get_xticklabels()
    [Text(0, 0, 'Jane'), Text(1, 0, 'Joe'), Text(2, 0, 'John')]
    """

instruct prompt

Combine a list of dictionaries with possibly differing keys (student names) into a single dictionary, calculate the average score for each student, and return a bar chart of average student scores with student on the x-axis and average score on the y-axis. This function handles data with varying dictionary lengths and missing keys by averaging available scores, ignoring None. If there is any negative score, the function raises ValueError. Bar colors can be: 'red', 'yellow', 'green', 'blue', 'purple'.
The function should output with:
    ax (matplotlib.axes._axes.Axes or None): A bar chart showing the 'Average Student Scores', with
    'Student' on the x-axis and 'Average Score' on the y-axis.
    If data is empty, return None.
You should write self-contained code starting with:

Code

import collections
import matplotlib.pyplot as plt
def task_func(data):

code prompt

Code

import collections
import matplotlib.pyplot as plt
def task_func(data):

entry point

task_func

libs

  • collections
  • matplotlib

Discussion

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Source and history

task_id
610ce96b-e0f0-5eef-85b0-2335b378a0d4
task_key
default--v0~2e1~2e0~5fhf--610ce96b-e0f0-5eef-85b0-2335b378a0d4
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import