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BigCodeBench / BigCodeBench v0.1.0_hf eb34c4da-8ba3-5d6c-a07c-5ca70aff194a

Problem

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

complete prompt

import matplotlib.pyplot as plt
import numpy as np
from sklearn.preprocessing import StandardScaler


def task_func(x, y, labels):
    """
    Scale the "x" and "y" arrays using the standard scaler of sklearn and plot them with given labels.
    Each pair of x and y arrays are scaled independently and plotted as a separate series with a label.

    Parameters:
    - x (list of np.ndarray): List of numpy arrays representing the x-values of the data points.
    - y (list of np.ndarray): List of numpy arrays representing the y-values of the data points.
    - labels (list of str): List of strings representing the labels for each data series.

    Returns:
    - matplotlib.figure.Figure: The figure object containing the plot.

    Requirements:
    - numpy
    - matplotlib.pyplot
    - sklearn.preprocessing

    Example:
    >>> x = [np.array([1,2,3]), np.array([4,5,6]), np.array([7,8,9])]
    >>> y = [np.array([4,5,6]), np.array([7,8,9]), np.array([10,11,12])]
    >>> labels = ['A', 'B', 'C']
    >>> fig = task_func(x, y, labels)
    >>> plt.show()
    """

instruct prompt

Scale the "x" and "y" arrays using the standard scaler of sklearn and plot them with given labels. Each pair of x and y arrays are scaled independently and plotted as a separate series with a label.
The function should output with:
    matplotlib.figure.Figure: The figure object containing the plot.
You should write self-contained code starting with:

Code

import matplotlib.pyplot as plt
import numpy as np
from sklearn.preprocessing import StandardScaler
def task_func(x, y, labels):

code prompt

Code

import matplotlib.pyplot as plt
import numpy as np
from sklearn.preprocessing import StandardScaler
def task_func(x, y, labels):

entry point

task_func

libs

  • numpy
  • matplotlib
  • sklearn

Discussion

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Source and history

task_id
eb34c4da-8ba3-5d6c-a07c-5ca70aff194a
task_key
default--v0~2e1~2e0~5fhf--eb34c4da-8ba3-5d6c-a07c-5ca70aff194a
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import