benchmarks.wiki / Public workspace

BigCodeBench / BigCodeBench v0.1.0_hf 6139a882-ed62-5342-b252-d874b470aec8

Problem

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

complete prompt

import pandas as pd
import itertools
from random import shuffle

def task_func(letters=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'], categories=['Category 1', 'Category 2', 'Category 3']):
    """
    Create a Pandas DataFrame by associating each element from a list of letters to a category from a list of categories.
    The categories are randomly shuffled.

    Parameters:
    letters (List[str]): A list of letters to be included in the DataFrame. Default is ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'].
    categories (List[str]): A list of categories to be included in the DataFrame. Default is ['Category 1', 'Category 2', 'Category 3'].

    Returns:
    DataFrame: A Pandas DataFrame with two columns: 'Letter' and 'Category'. Each letter is randomly associated with a category.

    Requirements:
    - pandas
    - itertools
    - random.shuffle

    Example:
    >>> import random
    >>> random.seed(0)
    >>> df = task_func(['A', 'B'], ['Cat 1', 'Cat 2'])
    >>> print(df)
      Letter Category
    0      A    Cat 2
    1      B    Cat 1
    2      A    Cat 1
    3      B    Cat 2
    >>> random.seed(1)
    >>> df = task_func()
    >>> print(df.head())
      Letter    Category
    0      A  Category 3
    1      B  Category 3
    2      C  Category 2
    3      D  Category 2
    4      E  Category 3
    """

instruct prompt

Create a Pandas DataFrame by associating each element from a list of letters to a category from a list of categories. The categories are randomly shuffled.
The function should output with:
    DataFrame: A Pandas DataFrame with two columns: 'Letter' and 'Category'. Each letter is randomly associated with a category.
You should write self-contained code starting with:

Code

import pandas as pd
import itertools
from random import shuffle
def task_func(letters=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'], categories=['Category 1', 'Category 2', 'Category 3']):

code prompt

Code

import pandas as pd
import itertools
from random import shuffle
def task_func(letters=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'], categories=['Category 1', 'Category 2', 'Category 3']):

entry point

task_func

libs

  • pandas
  • random
  • itertools

Discussion

Discussion

No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

Official source

initial import