BigCodeBench / BigCodeBench v0.1.0_hf a053e316-19b4-57f7-9ea5-b852f186d9fa

complete prompt

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt

TARGET_VALUES = np.array([1, 3, 4])

def task_func(df):
    """
    Replace all elements in DataFrame columns that do not exist in the TARGET_VALUES array with zeros, then perform a Box-Cox transformation on each column (if data is not constant, add 1 to account for zeros) and display the resulting KDE plots.

    Parameters:
        - df (pandas.DataFrame): The input pandas DataFrame with positive values.

    Returns:
        - pandas.DataFrame: The transformed DataFrame after Box-Cox transformation.
        - matplotlib.figure.Figure: Figure containing KDE plots of the transformed columns.

    Requirements:
    - numpy
    - scipy.stats
    - matplotlib.pyplot

    Example:
    >>> np.random.seed(42)
    >>> df = pd.DataFrame(np.random.randint(1, 10, size=(100, 5)), columns=list('ABCDE'))  # Values should be positive for Box-Cox
    >>> transformed_df, fig = task_func(df)
    >>> print(transformed_df.head(2))
              A         B    C    D         E
    0  0.000000  0.566735  0.0  0.0  0.000000
    1  0.530493  0.000000  0.0  0.0  0.607007
    """

instruct prompt

Replace all elements in DataFrame columns that do not exist in the TARGET_VALUES array with zeros, then perform a Box-Cox transformation on each column (if data is not constant, add 1 to account for zeros) and display the resulting KDE plots.
The function should output with:
    pandas.DataFrame: The transformed DataFrame after Box-Cox transformation.
    matplotlib.figure.Figure: Figure containing KDE plots of the transformed columns.
You should write self-contained code starting with:

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
TARGET_VALUES = np.array([1, 3, 4])
def task_func(df):

code prompt

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
TARGET_VALUES = np.array([1, 3, 4])
def task_func(df):

entry point

task_func

libs

• numpy
• matplotlib
• scipy