BigCodeBench / BigCodeBench v0.1.0_hf e18765a2-9096-50df-9dfb-7afc7f134ebc

complete prompt

import pandas as pd
import matplotlib.pyplot as plt


def task_func(df):
    """
    Draws a pie chart of the status distribution from a pandas DataFrame with a 'Status' column and returns the plot object.
    
    The 'Status' column in the DataFrame is expected to contain categorical data with possible values like 
    'Pending', 'In Progress', 'Completed', 'Cancelled'.
    
    Parameters:
    df (DataFrame): A pandas DataFrame with 'Status' column containing categorical data.
    
    Returns:
    matplotlib.axes.Axes: The Axes object with the pie chart.
    
    Raises:
    ValueError: If 'df' is not a pandas DataFrame or does not contain the 'Status' column.

    Requirements:
    - pandas
    - random
    - matplotlib.pyplot
    
    Example:
    >>> df = pd.DataFrame({'Status': ['Pending', 'Completed', 'In Progress', 'Cancelled', 'Completed', 'Pending']})
    >>> ax = task_func(df)
    >>> ax.get_title() # Should return 'Status Distribution'
    'Status Distribution'
    """

instruct prompt

Draws a pie chart of the status distribution from a pandas DataFrame with a 'Status' column and returns the plot object. The 'Status' column in the DataFrame is expected to contain categorical data with possible values like 'Pending', 'In Progress', 'Completed', 'Cancelled'.
The function should raise the exception for: ValueError: If 'df' is not a pandas DataFrame or does not contain the 'Status' column.
The function should output with:
    matplotlib.axes.Axes: The Axes object with the pie chart.
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
def task_func(df):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
def task_func(df):

entry point

task_func

libs

• pandas
• matplotlib