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BigCodeBench / BigCodeBench v0.1.0_hf cc7fec72-981c-5852-a0e9-f8c54654d55b

Problem

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

complete prompt

import collections
import pandas as pd

def task_func(obj_list, attr):
    """
    Count the frequency of each value of the given attribute from a list of objects.
    
    This function returns a pandas Dataframe containing frequency count of the specified attribute from the objects in the list.
    The DataFrame consist of two columns ('attribute' and 'count'), which contain the attribute and its
    specific count respectively.
    
    If no attributes are found, an empty DataFrame is returned.

    Parameters:
    obj_list (list): The list of objects with attributes.
    attr (str): The attribute to count.

    Returns:
    collections.Counter: The frequency count of each value of the attribute.

    Requirements:
    - collections
    - pandas
    
    Example:
    >>> class ExampleObject:
    ...     def __init__(self, color, shape):
    ...         self.color = color
    ...         self.shape = shape
    ...
    >>> obj_list = [ExampleObject('Red', 'Square'), ExampleObject('Green', 'Circle'), ExampleObject('Red', 'Rectangle')]
    >>> count = task_func(obj_list, 'color')
    >>> print(count)
      attribute  count
    0       Red      2
    1     Green      1


    >>> class ExampleObject:
    ...     def __init__(self, animal, shape):
    ...         self.animal = animal
    ...         self.shape = shape
    ...
    >>> obj_list = [ExampleObject('tiger', 'Square'), ExampleObject('leopard', 'Circle'), ExampleObject('cat', 'Rectangle'), ExampleObject('elephant', 'Rectangle')]
    >>> count = task_func(obj_list, 'shape')
    >>> print(count)
       attribute  count
    0     Square      1
    1     Circle      1
    2  Rectangle      2
    """

instruct prompt

Count the frequency of each value of the given attribute from a list of objects. This function returns a pandas Dataframe containing frequency count of the specified attribute from the objects in the list. The DataFrame consist of two columns ('attribute' and 'count'), which contain the attribute and its specific count respectively. If no attributes are found, an empty DataFrame is returned. >>> class ExampleObject: ...     def __init__(self, animal, shape): ...         self.animal = animal ...         self.shape = shape ... >>> obj_list = [ExampleObject('tiger', 'Square'), ExampleObject('leopard', 'Circle'), ExampleObject('cat', 'Rectangle'), ExampleObject('elephant', 'Rectangle')] >>> count = task_func(obj_list, 'shape') >>> print(count) attribute  count 0     Square      1 1     Circle      1 2  Rectangle      2
The function should output with:
    collections.Counter: The frequency count of each value of the attribute.
You should write self-contained code starting with:

Code

import collections
import pandas as pd
def task_func(obj_list, attr):

code prompt

Code

import collections
import pandas as pd
def task_func(obj_list, attr):

entry point

task_func

libs

  • pandas
  • collections

Discussion

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Source and history

task_id
cc7fec72-981c-5852-a0e9-f8c54654d55b
task_key
default--v0~2e1~2e0~5fhf--cc7fec72-981c-5852-a0e9-f8c54654d55b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import