BigCodeBench / BigCodeBench v0.1.0_hf 26232fca-ac5b-56aa-8344-919362e2716a

complete prompt

import pandas as pd
import regex as re
import seaborn as sns
import matplotlib.pyplot as plt

COLUMN_NAMES = ["Name", "Email", "Age", "Country"]


def task_func(text):
    """
    Extract data from a text and create a Pandas DataFrame.
    The text contains several lines, each formatted as 'Name: John Doe, Email: john.doe@example.com, Age: 30, Country: USA'.
    Plot the age distribution using seaborn.

    The data is extracted using the regular expression pattern:
    "Name: (.*?), Email: (.*?), Age: (.*?), Country: (.*?)($|\n)"
    and the resulting DataFrame has columns: ['Name', 'Email', 'Age', 'Country']

    Parameters:
    text (str): The text to analyze.

    Returns:
    DataFrame: A pandas DataFrame with extracted data.

    Requirements:
    - pandas
    - regex
    - seaborn
    - matplotlib.pyplot

    Example:
    >>> text = 'Name: John Doe, Email: john.doe@example.com, Age: 30, Country: USA\\nName: Jane Doe, Email: jane.doe@example.com, Age: 25, Country: UK'
    >>> df = task_func(text)
    >>> print(df)
           Name                 Email  Age Country
    0  John Doe  john.doe@example.com   30     USA
    1  Jane Doe  jane.doe@example.com   25      UK
    """

instruct prompt

Extract data from a text and create a Pandas DataFrame. The text contains several lines, each formatted as 'Name: John Doe, Email: john.doe@example.com, Age: 30, Country: USA'. Plot the age distribution using seaborn. The data is extracted using the regular expression pattern: "Name: (.*?), Email: (.*?), Age: (.*?), Country: (.*?)($|\n)" and the resulting DataFrame has columns: ['Name', 'Email', 'Age', 'Country']
The function should output with:
    DataFrame: A pandas DataFrame with extracted data.
You should write self-contained code starting with:

Code

import pandas as pd
import regex as re
import seaborn as sns
import matplotlib.pyplot as plt
COLUMN_NAMES = ["Name", "Email", "Age", "Country"]
def task_func(text):

code prompt

Code

import pandas as pd
import regex as re
import seaborn as sns
import matplotlib.pyplot as plt
COLUMN_NAMES = ["Name", "Email", "Age", "Country"]
def task_func(text):

entry point

task_func

libs

• regex
• pandas
• matplotlib
• seaborn