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BigCodeBench / BigCodeBench v0.1.0_hf 50b05a53-df08-5160-b254-77ed87fa0bb3

Problem

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

complete prompt

import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler

def task_func(df):
    """
    Scale the 'Age' and 'Income' columns between 0 and 1 for each group by 'id' in the provided pandas DataFrame. 
    Additionally, create a histogram of the 'Income' column after scaling and return both the scaled DataFrame 
    and the histogram data.

    Parameters:
    df (DataFrame): The pandas DataFrame with columns ['id', 'age', 'income'].

    Returns:
    tuple: A tuple containing the scaled DataFrame and the histogram data for the 'income' column.

    Requirements:
    - pandas
    - sklearn.preprocessing.MinMaxScaler
    - numpy

    Example:
    >>> df = pd.DataFrame({'id': [1, 1, 2, 2, 3, 3], 'age': [25, 26, 35, 36, 28, 29],'income': [50000, 60000, 70000, 80000, 90000, 100000]})
    >>> df_scaled, income_hist = task_func(df)
    >>> print(df_scaled.iloc[0]['age'])
    0.0
    >>> print(df_scaled.iloc[0]['income'])
    0.0
    """

instruct prompt

Scale the 'Age' and 'Income' columns between 0 and 1 for each group by 'id' in the provided pandas DataFrame. Additionally, create a histogram of the 'Income' column after scaling and return both the scaled DataFrame and the histogram data.
The function should output with:
    tuple: A tuple containing the scaled DataFrame and the histogram data for the 'income' column.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
def task_func(df):

code prompt

Code

import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
def task_func(df):

entry point

task_func

libs

  • pandas
  • numpy
  • sklearn

Discussion

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Source and history

task_id
50b05a53-df08-5160-b254-77ed87fa0bb3
task_key
default--v0~2e1~2e0~5fhf--50b05a53-df08-5160-b254-77ed87fa0bb3
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import