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BigCodeBench / BigCodeBench v0.1.0_hf 2777af49-b29e-50ed-b142-7569c3edb8ac

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
import random


def task_func(colors, states):
    """
    Generates a pandas DataFrame containing shuffled combinations of provided colors and states.
    The DataFrame is formatted so that each column represents a series of unique combinations,
    with each combination displayed as "Color:State".

    Parameters:
    - colors (list): A list of strings representing color names.
    - states (list): A list of strings representing state descriptions.

    Returns:
    - df (pandas.DataFrame): A DataFrame where each cell contains a string of the format "Color:State".
      The combinations are distributed across columns, with the number of columns being the lesser
      of the lengths of 'colors' and 'states'.

    Requirements:
    - pandas
    - itertools
    - random

    Note:
    - Cartesian product of 'colors' and 'states',
    - The number of columns in the resulting DataFrame is determined by the smaller number of elements
      in either the 'colors' or 'states' list, ensuring an even distribution without excess empty cells.
    - If the number of combinations is not evenly divisible by the number of columns, some columns
      will have fewer entries.

    Example:
    >>> colors = ['Red', 'Blue', 'Green']
    >>> states = ['Solid', 'Liquid']
    >>> color_state_table = task_func(colors, states)
    >>> print(color_state_table)
      Color:State 1 Color:State 2
    0   Blue:Liquid    Red:Liquid
    1    Blue:Solid   Green:Solid
    2     Red:Solid  Green:Liquid
    """

instruct prompt

Generates a pandas DataFrame containing shuffled combinations of provided colors and states. The DataFrame is formatted so that each column represents a series of unique combinations, with each combination displayed as "Color:State".
Note that: Cartesian product of 'colors' and 'states', The number of columns in the resulting DataFrame is determined by the smaller number of elements in either the 'colors' or 'states' list, ensuring an even distribution without excess empty cells. If the number of combinations is not evenly divisible by the number of columns, some columns will have fewer entries.
The function should output with:
    df (pandas.DataFrame): A DataFrame where each cell contains a string of the format "Color:State".
    The combinations are distributed across columns, with the number of columns being the lesser
    of the lengths of 'colors' and 'states'.
You should write self-contained code starting with:

Code

import pandas as pd
import itertools
import random
def task_func(colors, states):

code prompt

Code

import pandas as pd
import itertools
import random
def task_func(colors, states):

entry point

task_func

libs

  • pandas
  • random
  • itertools

Discussion

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Source and history

task_id
2777af49-b29e-50ed-b142-7569c3edb8ac
task_key
default--v0~2e1~2e0~5fhf--2777af49-b29e-50ed-b142-7569c3edb8ac
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import