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BigCodeBench / BigCodeBench v0.1.0_hf 970392d6-c1b5-575f-9bca-ef901a102b67

Problem

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

complete prompt

import numpy as np
import pandas as pd
from sklearn.decomposition import PCA


def task_func(array, seed=None):
    """
    Shuffles the columns of a numpy array randomly, performs Principal Component Analysis (PCA)
    to reduce the dimensionality to 2 principal components, and returns these components as a pandas DataFrame.

    Parameters:
    - array (numpy.ndarray): A 2D numpy array where each row is an observation and each column is a feature.
    - seed (int, optional): Seed for the random number generator. Defaults to None (not set).

    Returns:
    - pandas.DataFrame: DataFrame with columns 'PC1' and 'PC2' representing the two principal components.

    Raises:
    - ValueError: If the input array is not 2D.

    Requirements:
    - numpy
    - pandas
    - sklearn

    Note:
    - PCA reduction will default to the number of features if fewer than 2.
    - An named but empty DataFrame is returned for arrays without features or with empty content.

    Examples:
    >>> array = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
    >>> df = task_func(array, seed=42)
    >>> df["PC1"]
    0    5.59017
    1   -5.59017
    Name: PC1, dtype: float64
    >>> df.shape
    (2, 2)
    """

instruct prompt

Shuffles the columns of a numpy array randomly, performs Principal Component Analysis (PCA) to reduce the dimensionality to 2 principal components, and returns these components as a pandas DataFrame.
Note that: PCA reduction will default to the number of features if fewer than 2. An named but empty DataFrame is returned for arrays without features or with empty content.
The function should raise the exception for: ValueError: If the input array is not 2D.
The function should output with:
    pandas.DataFrame: DataFrame with columns 'PC1' and 'PC2' representing the two principal components.
You should write self-contained code starting with:

Code

import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
def task_func(array, seed=None):

code prompt

Code

import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
def task_func(array, seed=None):

entry point

task_func

libs

  • pandas
  • numpy
  • sklearn

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Source and history

task_id
970392d6-c1b5-575f-9bca-ef901a102b67
task_key
default--v0~2e1~2e0~5fhf--970392d6-c1b5-575f-9bca-ef901a102b67
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import