BigCodeBench / BigCodeBench v0.1.0_hf d8eef2cc-b3ff-586d-b03e-d3f841aba2ef

complete prompt

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from sklearn.datasets import load_diabetes

def task_func():
    """
    Draws a seaborn pairplot for the diabetes dataset obtained from sklearn.datasets. 
    This function sets the font to Arial. It then loads the diabetes dataset into a
    DataFrame and creates a pairplot using seaborn, which is useful for visual exploration 
    of relationships between different features in the dataset.

    Requirements:
    - matplotlib.pyplot
    - seaborn
    - sklearn.datasets.load_diabetes
    - pandas

    Returns:
        matplotlib.figure.Figure: A matplotlib Figure instance representing the created pairplot.
        pd.DataFrame: a DataFrame representation of the diabetes dataset

    Examples:
    >>> fig, df = task_func()
    >>> isinstance(fig, plt.Figure)
    True
    >>> isinstance(df, pd.DataFrame)
    True
    >>> type(fig).__name__
    'Figure'
    """

instruct prompt

Draws a seaborn pairplot for the diabetes dataset obtained from sklearn.datasets. This function sets the font to Arial. It then loads the diabetes dataset into a DataFrame and creates a pairplot using seaborn, which is useful for visual exploration of relationships between different features in the dataset.
The function should output with:
    matplotlib.figure.Figure: A matplotlib Figure instance representing the created pairplot.
    pd.DataFrame: a DataFrame representation of the diabetes dataset
You should write self-contained code starting with:

Code

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from sklearn.datasets import load_diabetes
def task_func():

code prompt

Code

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from sklearn.datasets import load_diabetes
def task_func():

entry point

task_func

libs

• pandas
• sklearn
• matplotlib
• seaborn