BigCodeBench / BigCodeBench v0.1.0_hf aa060eff-ba67-5454-a1c1-7049a0cb68de

complete prompt

import pandas as pd
import matplotlib.pyplot as plt

def task_func(df, letters=list('ABCDEFGHIJKLMNOPQRSTUVWXYZ')):
    """
    Create and return a bar chart of the frequency of letters in a DataFrame 
    where the column 'Letters' contains English uppercase letters.

    Parameters:
    df (DataFrame): The DataFrame with a 'Letters' column.
    letters (list, optional): List of English uppercase letters. Defaults to A-Z.

    Returns:
    Axes: A Matplotlib Axes object representing the bar graph of letter frequency, with the x-axis labeled 'Letters', the y-axis labeled 'Frequency', and the title 'Letter Frequency'.

    Raises:
    ValueError: If 'df' is not a DataFrame or lacks the 'Letters' column.

    Requirements:
    - pandas
    - matplotlib.pyplot

    Example:
    >>> import random
    >>> random.seed(42)
    >>> df = pd.DataFrame({'Letters': random.choices('ABCDEFGHIJKLMNOPQRSTUVWXYZ', k=100)})
    >>> ax = task_func(df)
    >>> plt.show()
    """

instruct prompt

Create and return a bar chart of the frequency of letters in a DataFrame where the column 'Letters' contains English uppercase letters.
The function should raise the exception for: ValueError: If 'df' is not a DataFrame or lacks the 'Letters' column.
The function should output with:
    Axes: A Matplotlib Axes object representing the bar graph of letter frequency, with the x-axis labeled 'Letters', the y-axis labeled 'Frequency', and the title 'Letter Frequency'.
You should write self-contained code starting with:

Code

import pandas as pd
import matplotlib.pyplot as plt
def task_func(df, letters=list('ABCDEFGHIJKLMNOPQRSTUVWXYZ')):

code prompt

Code

import pandas as pd
import matplotlib.pyplot as plt
def task_func(df, letters=list('ABCDEFGHIJKLMNOPQRSTUVWXYZ')):

entry point

task_func

libs

• pandas
• matplotlib