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BigCodeBench / BigCodeBench v0.1.0_hf e2f274b4-20b8-5ad6-9162-b9438358a765

Problem

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

complete prompt

from matplotlib import pyplot as plt
from sklearn.decomposition import PCA


def task_func(arr):
    """
    Performs Principal Component Analysis (PCA) on the sum of rows of a 2D numpy array and plots the explained variance ratio.

    Note:
    - The title of the plot is set to "Explained Variance Ratio of Principal Components".

    Parameters:
    - arr (numpy.ndarray): A 2D numpy array. The input data for PCA.

    Returns:
    - ax (matplotlib.axes.Axes): An Axes object from matplotlib.

    Requirements:
    - scikit-learn
    - matplotlib

    Notes:
    - The function assumes that 'arr' is a valid 2D numpy array.
    - Only the first principal component is considered in this analysis.
    - The plot illustrates the proportion of the dataset's variance that lies along the axis of this first principal component.
    
    Example:
    >>> import numpy as np
    >>> arr = np.array([[i+j for i in range(3)] for j in range(5)])
    >>> axes = task_func(arr)
    >>> axes.get_title()
    'Explained Variance Ratio of Principal Components'
    """

instruct prompt

Performs Principal Component Analysis (PCA) on the sum of rows of a 2D numpy array and plots the explained variance ratio.
Note that: The title of the plot is set to "Explained Variance Ratio of Principal Components". Notes: The function assumes that 'arr' is a valid 2D numpy array. Only the first principal component is considered in this analysis. The plot illustrates the proportion of the dataset's variance that lies along the axis of this first principal component.
The function should output with:
    ax (matplotlib.axes.Axes): An Axes object from matplotlib.
You should write self-contained code starting with:

Code

from matplotlib import pyplot as plt
from sklearn.decomposition import PCA
def task_func(arr):

code prompt

Code

from matplotlib import pyplot as plt
from sklearn.decomposition import PCA
def task_func(arr):

entry point

task_func

libs

  • matplotlib
  • sklearn

Discussion

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Source and history

task_id
e2f274b4-20b8-5ad6-9162-b9438358a765
task_key
default--v0~2e1~2e0~5fhf--e2f274b4-20b8-5ad6-9162-b9438358a765
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import