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BigCodeBench / BigCodeBench v0.1.0_hf a6a1bd97-b157-5474-93db-b86187080371

Problem

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

complete prompt

import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter

def task_func(student_grades, possible_grades=["A", "B", "C", "D", "F"]):
    """
    Create a report on students' grades in a class, including a count of each grade out of all possible grades
    and a bar chart. Note: Grades are case-insensitive but whitespace-sensitive. Those not in possible grades
    are ignored.

    Parameters:
    student_grades (list): List of student grades. Must not be empty.
    possible_grades (list, optional): List of possible grade values. Defaults to ['A', 'B', 'C', 'D', 'F'].

    Returns:
    Tuple[DataFrame, Axes]:
        - A pandas DataFrame with 'Grade' as the named index and their 'Count' as values.
        - A bar chart plot (matplotlib's Axes object) visualizing 'Grade Distribution', with 'Grade' on the
          x-axis and 'Number of Students' on the y-axis.

    Requirements:
    - pandas
    - matplotlib.pyplot
    - collections.Counter

    Example:
    >>> student_grades = ['A', 'B', 'B', 'C', 'A', 'D', 'F', 'B', 'A', 'C']
    >>> report_df, ax = task_func(student_grades)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    >>> report_df
           Count
    Grade       
    A          3
    B          3
    C          2
    D          1
    F          1
    """

instruct prompt

Create a report on students' grades in a class, including a count of each grade out of all possible grades and a bar chart. Note: Grades are case-insensitive but whitespace-sensitive. Those not in possible grades are ignored.
The function should output with:
    Tuple[DataFrame, Axes]:
    A pandas DataFrame with 'Grade' as the named index and their 'Count' as values.
    A bar chart plot (matplotlib's Axes object) visualizing 'Grade Distribution', with 'Grade' on the
    x-axis and 'Number of Students' on the y-axis.
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter
def task_func(student_grades, possible_grades=["A", "B", "C", "D", "F"]):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter
def task_func(student_grades, possible_grades=["A", "B", "C", "D", "F"]):

entry point

task_func

libs

  • pandas
  • collections
  • matplotlib

Discussion

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Source and history

task_id
a6a1bd97-b157-5474-93db-b86187080371
task_key
default--v0~2e1~2e0~5fhf--a6a1bd97-b157-5474-93db-b86187080371
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import