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BigCodeBench / BigCodeBench v0.1.0_hf fce6a0b8-14d2-51e1-ae8f-6b5a682c12b8

Problem

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

complete prompt

import pandas as pd
import re
from scipy import stats


def task_func(text):
    """
    Extracts all names from a given text string that are not surrounded by square brackets 
    and counts the frequency of each extracted name. It then creates a bar chart of the name frequencies and
    returns the name frequencies as a pandas Series and the bar chart plot's axes object along with the skewness 
    and kurtosis of the name frequencies. If the skewness and kurtosis are nan, they are returned as None.
    
    Parameters:
    text (str): The text from which to extract names. Each name should be separated by square brackets containing addresses.
    
    Returns:
    tuple: A tuple containing:
        - pd.Series: A pandas Series with the frequency of each name.
        - Axes: A bar chart plot showing the name frequencies. If no names are found, this will be None.
        - float: The skewness of the name frequencies.
        - float: The kurtosis of the name frequencies.
    
    Requirements:
    - re
    - pandas
    - matplotlib.pyplot
    - scipy.stats
    
    Example:
    >>> text_input = "Josie Smith [3996 COLLEGE AVENUE, SOMETOWN, MD 21003]Mugsy Dog Smith [2560 OAK ST, GLENMEADE, WI 14098]"
    >>> name_freqs, plot, skew, kurtosis = task_func(text_input)
    >>> print(list(name_freqs.items())[0])
    ('Josie Smith', 1)
    >>> type(plot)
    <class 'matplotlib.axes._axes.Axes'>
    >>> round(kurtosis, 2) is not None
    True
    """

instruct prompt

Extracts all names from a given text string that are not surrounded by square brackets and counts the frequency of each extracted name. It then creates a bar chart of the name frequencies and returns the name frequencies as a pandas Series and the bar chart plot's axes object along with the skewness and kurtosis of the name frequencies. If the skewness and kurtosis are nan, they are returned as None.
The function should output with:
    tuple: A tuple containing:
    pd.Series: A pandas Series with the frequency of each name.
    Axes: A bar chart plot showing the name frequencies. If no names are found, this will be None.
    float: The skewness of the name frequencies.
    float: The kurtosis of the name frequencies.
You should write self-contained code starting with:

Code

import pandas as pd
import re
from scipy import stats
def task_func(text):

code prompt

Code

import pandas as pd
import re
from scipy import stats
def task_func(text):

entry point

task_func

libs

  • pandas
  • re
  • scipy

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Source and history

task_id
fce6a0b8-14d2-51e1-ae8f-6b5a682c12b8
task_key
default--v0~2e1~2e0~5fhf--fce6a0b8-14d2-51e1-ae8f-6b5a682c12b8
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import