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BigCodeBench / BigCodeBench v0.1.0_hf 9e5bebcd-7f2e-5cc8-8b58-dae4fec42db5

Problem

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

complete prompt

import pandas as pd
from scipy.spatial import distance
import matplotlib.pyplot as plt


def task_func(a, b):
    """
    Calculate the Euclidean distance between two lists, create a Pandas DataFrame from these lists
    with indices 'A' and 'B', and then draw the values with a line displaying the Euclidean distance.

    Parameters:
    a (list): A list of numbers.
    b (list): Another list of numbers.

    Returns:
    float: The computed Euclidean distance between the two lists.
    pd.DataFrame: A DataFrame containing the two lists as columns.
    matplotlib.axes.Axes: The generated plot's Axes object.

    Requirements:
    - pandas
    - scipy.spatial
    - matplotlib.pyplot

    Example:
    >>> euclidean_distance, df, ax = task_func([1, 2, 3], [2, 3, 4])
    >>> print(euclidean_distance)
    1.7320508075688772
    """

instruct prompt

Calculate the Euclidean distance between two lists, create a Pandas DataFrame from these lists with indices 'A' and 'B', and then draw the values with a line displaying the Euclidean distance.
The function should output with:
    float: The computed Euclidean distance between the two lists.
    pd.DataFrame: A DataFrame containing the two lists as columns.
    matplotlib.axes.Axes: The generated plot's Axes object.
You should write self-contained code starting with:

Code

import pandas as pd
from scipy.spatial import distance
import matplotlib.pyplot as plt
def task_func(a, b):

code prompt

Code

import pandas as pd
from scipy.spatial import distance
import matplotlib.pyplot as plt
def task_func(a, b):

entry point

task_func

libs

  • pandas
  • matplotlib
  • scipy

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Source and history

Official source

initial import