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BigCodeBench / BigCodeBench v0.1.0_hf c75d0a81-14af-5385-83cb-054565a14d75

Problem

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

complete prompt

import pandas as pd
from sklearn.preprocessing import StandardScaler


def task_func(data):
    """Scales numeric columns of a data dictionary using the StandardScaler.

    This function scales the numeric columns of a dataframe using the StandardScaler from scikit-learn.
    Non-numeric columns remain unchanged. If a column contains mixed data types, it tries to convert the entire column
    to float. If any value in the column cannot be converted to float, the entire column is left unchanged.

    Requirements:
    - pandas
    - sklearn.preprocessing.StandardScaler
    
    Parameters:
    - data (dict): Input data.

    Returns:
    - pd.DataFrame: Dataframe with scaled numeric columns.

    Example:
    >>> result = task_func({'x': [10, 20, 30, 40]})
    >>> result
              x
    0 -1.341641
    1 -0.447214
    2  0.447214
    3  1.341641
    >>> result2 = task_func({'a': [10.5, 23.4, 15.6, 78.9],'b': [45.6, 67.8, 89.0, 12.3],'c': ['apple', 'banana', 'cherry', 'date']})
    >>> result2
              a         b       c
    0 -0.788098 -0.284409   apple
    1 -0.317428  0.497496  banana
    2 -0.602019  1.244180  cherry
    3  1.707546 -1.457267    date
    """

instruct prompt

Scales numeric columns of a data dictionary using the StandardScaler. This function scales the numeric columns of a dataframe using the StandardScaler from scikit-learn. Non-numeric columns remain unchanged. If a column contains mixed data types, it tries to convert the entire column to float. If any value in the column cannot be converted to float, the entire column is left unchanged.
The function should output with:
    pd.DataFrame: Dataframe with scaled numeric columns.
You should write self-contained code starting with:

Code

import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(data):

code prompt

Code

import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(data):

entry point

task_func

libs

  • pandas
  • sklearn

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Source and history

task_id
c75d0a81-14af-5385-83cb-054565a14d75
task_key
default--v0~2e1~2e0~5fhf--c75d0a81-14af-5385-83cb-054565a14d75
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import