BigCodeBench / BigCodeBench v0.1.0_hf 5cb87aa6-992c-5345-8ac2-c33704fc85df

complete prompt

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import numpy as np

def task_func(data_url="http://lib.stat.cmu.edu/datasets/boston", seed=42):
    """
    Draw the correlation heatmap of the Boston Housing dataset using Seaborn, with an option to save it to a specified file.

    Parameters:
        seed (int, optional): Random seed for reproducibility. Defaults to 42.
    The font should be in the family of sans-serif and Arial.

    Returns:
        matplotlib.axes.Axes: The Axes object containing the heatmap plot.

    Raises:
        ValueError: If an error occurs in generating or saving the plot.

    Requirements:
        - matplotlib
        - os
        - pandas
        - seaborn
        - numpy 

    Example:
        >>> ax = task_func()
        >>> type(ax)
        <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

Draw the correlation heatmap of the Boston Housing dataset using Seaborn, with an option to save it to a specified file.
The function should raise the exception for: ValueError: If an error occurs in generating or saving the plot.
The function should output with:
    matplotlib.axes.Axes: The Axes object containing the heatmap plot.
You should write self-contained code starting with:

Code

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import numpy as np
def task_func(data_url="http://lib.stat.cmu.edu/datasets/boston", seed=42):

code prompt

Code

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import numpy as np
def task_func(data_url="http://lib.stat.cmu.edu/datasets/boston", seed=42):

entry point

task_func

libs

• pandas
• numpy
• matplotlib
• seaborn