benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 6139a882-ed62-5342-b252-d874b470aec8
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import itertools
from random import shuffle
def task_func(letters=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'], categories=['Category 1', 'Category 2', 'Category 3']):
"""
Create a Pandas DataFrame by associating each element from a list of letters to a category from a list of categories.
The categories are randomly shuffled.
Parameters:
letters (List[str]): A list of letters to be included in the DataFrame. Default is ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'].
categories (List[str]): A list of categories to be included in the DataFrame. Default is ['Category 1', 'Category 2', 'Category 3'].
Returns:
DataFrame: A Pandas DataFrame with two columns: 'Letter' and 'Category'. Each letter is randomly associated with a category.
Requirements:
- pandas
- itertools
- random.shuffle
Example:
>>> import random
>>> random.seed(0)
>>> df = task_func(['A', 'B'], ['Cat 1', 'Cat 2'])
>>> print(df)
Letter Category
0 A Cat 2
1 B Cat 1
2 A Cat 1
3 B Cat 2
>>> random.seed(1)
>>> df = task_func()
>>> print(df.head())
Letter Category
0 A Category 3
1 B Category 3
2 C Category 2
3 D Category 2
4 E Category 3
"""
instruct prompt
Create a Pandas DataFrame by associating each element from a list of letters to a category from a list of categories. The categories are randomly shuffled.
The function should output with:
DataFrame: A Pandas DataFrame with two columns: 'Letter' and 'Category'. Each letter is randomly associated with a category.
You should write self-contained code starting with:
Code
import pandas as pd
import itertools
from random import shuffle
def task_func(letters=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'], categories=['Category 1', 'Category 2', 'Category 3']):
code prompt
Code
import pandas as pd
import itertools
from random import shuffle
def task_func(letters=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'], categories=['Category 1', 'Category 2', 'Category 3']):
entry point
task_func
libs
- pandas
- random
- itertools
Discussion
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Source and history
- task_id
6139a882-ed62-5342-b252-d874b470aec8- task_key
default--v0~2e1~2e0~5fhf--6139a882-ed62-5342-b252-d874b470aec8- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import