BigCodeBench / BigCodeBench v0.1.0_hf a03152c8-a0fa-5f56-8b11-55dd978d4117

complete prompt

import pandas as pd
import numpy as np


def task_func(data, key, min_value, max_value):
    '''
    Add a new column with random values to the "data" DataFrame.

    Parameters:
    data (DataFrame): The input data as a pandas DataFrame.
    key (str): The name of the new column to be added.
    min_value (int): The minimum value for randomly generated integers in the new column.
    max_value (int): The maximum value for randomly generated integers in the new column.

    Returns:
    DataFrame: Updated DataFrame with the new column added.

    Raises:
    - The function will raise an error if the input data is not pandas DataFrame
    
    Requirements:
    - numpy
    - pandas
    
    Example:
    >>> np.random.seed(0)
    >>> data = pd.DataFrame({'key1': ['value1', 'value2', 'value3'], 'key2': [1, 2, 3]})
    >>> updated_data = task_func(data, 'new_key', 0, 10)
    >>> print(updated_data)
         key1  key2  new_key
    0  value1     1        5
    1  value2     2        0
    2  value3     3        3
    '''

instruct prompt

Add a new column with random values to the "data" DataFrame.
The function should raise the exception for: The function will raise an error if the input data is not pandas DataFrame
The function should output with:
    DataFrame: Updated DataFrame with the new column added.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
def task_func(data, key, min_value, max_value):

code prompt

Code

import pandas as pd
import numpy as np
def task_func(data, key, min_value, max_value):

entry point

task_func

libs

• pandas
• numpy