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BigCodeBench / BigCodeBench v0.1.0_hf d81071af-1973-59b2-b99e-a1a44b64cae3

Problem

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

complete prompt

import numpy as np
from operator import itemgetter
import matplotlib.pyplot as plt


def task_func(data):
    """
    Draw a scatter plot of dots and mark the point with the maximum y-value. Return the axes object as
    well as the maximum y-value point. 
    
    Parameters:
    data (list of tuples): A list where each tuple contains two floats representing x and y coordinates.
    
    Returns:
    matplotlib.axes.Axes: Axes object with the scatter plot, with the x-axis labeled 'x', the y-axis labeled 'y', and the title 'Points with Max Y Point Highlighted'.
    tuple: The point with the maximum y-value.
    
    Requirements:
    - numpy
    - operator
    - matplotlib.pyplot

    Example:
    >>> ax, point = task_func([(0.1, 0.2), (0.5, 0.6), (0.3, 0.9)])
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

Draw a scatter plot of dots and mark the point with the maximum y-value. Return the axes object as well as the maximum y-value point.
The function should output with:
    matplotlib.axes.Axes: Axes object with the scatter plot, with the x-axis labeled 'x', the y-axis labeled 'y', and the title 'Points with Max Y Point Highlighted'.
    tuple: The point with the maximum y-value.
You should write self-contained code starting with:

Code

import numpy as np
from operator import itemgetter
import matplotlib.pyplot as plt
def task_func(data):

code prompt

Code

import numpy as np
from operator import itemgetter
import matplotlib.pyplot as plt
def task_func(data):

entry point

task_func

libs

  • operator
  • numpy
  • matplotlib

Discussion

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Source and history

task_id
d81071af-1973-59b2-b99e-a1a44b64cae3
task_key
default--v0~2e1~2e0~5fhf--d81071af-1973-59b2-b99e-a1a44b64cae3
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import