BigCodeBench / BigCodeBench v0.1.0_hf 9b8676c5-29dd-58d6-82b9-686849d1693f

complete prompt

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler

def task_func(df):
    """
    Normalize the last column of the DataFrame using MinMaxScaler from sklearn and plot the normalized data.

    Parameters:
    - df (DataFrame): The input DataFrame.
    - bins (int, optional): Number of bins for the histogram. Defaults to 20.

    Returns:
    - DataFrame: A pandas DataFrame where the last column has been normalized.
    - Axes: A Matplotlib Axes object representing the plot of the normalized last column. The plot includes:
      - Title: 'Normalized Data of <column_name>'
      - X-axis label: 'Index'
      - Y-axis label: 'Normalized Value'

    Raises:
    - ValueError: If the input is not a DataFrame or if the DataFrame is empty.

    Requirements:
    - pandas
    - matplotlib.pyplot
    - sklearn

    Example:
    >>> df = pd.DataFrame(np.random.randint(0, 100, size=(100, 4)), columns=list('ABCD'))
    >>> normalized_df, ax = task_func(df)
    >>> plt.show()
    """

instruct prompt

Normalize the last column of the DataFrame using MinMaxScaler from sklearn and plot the normalized data.
The function should raise the exception for: ValueError: If the input is not a DataFrame or if the DataFrame is empty.
The function should output with:
    DataFrame: A pandas DataFrame where the last column has been normalized.
    Axes: A Matplotlib Axes object representing the plot of the normalized last column. The plot includes:
    Title: 'Normalized Data of <column_name>'
    X-axis label: 'Index'
    Y-axis label: 'Normalized Value'
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
def task_func(df):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
def task_func(df):

entry point

task_func

libs

• pandas
• matplotlib
• sklearn