benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf efc1d36a-188c-54bf-8364-24f0b25c344a
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
from collections import Counter
def task_func(data):
"""
Analyze a dictionary of student data to return a dataframe sorted by name and age in ascending order,
the average score per student as a pandas Series, and the most common age as an integer.
Parameters:
data (dict): A dictionary containing student data with three keys:
- 'Name': List of student names.
- 'Age': List of student ages.
- 'Score': List of student scores.
Returns:
pd.DataFrame, pd.Series, int or None:
- A dataframe sorted by 'Name' and 'Age' in ascending order.
- A series representing average scores indexed by student names.
- An integer representing the most common age or None if no data is available.
Raises:
ValueError: If the dictionary does not have the required keys.
Requirements:
- pandas
- collections
Example:
>>> data = {
... 'Name': ['Tom', 'Nick', 'John', 'Tom', 'John', 'John', 'Nick', 'Tom', 'John', 'Tom'],
... 'Age': [20, 21, 19, 20, 19, 19, 21, 20, 19, 20],
... 'Score': [85, 79, 92, 88, 90, 92, 81, 86, 90, 85]
... }
>>> df, avg_scores, common_age = task_func(data)
>>> print(df)
Name Age Score
2 John 19 92
4 John 19 90
5 John 19 92
8 John 19 90
1 Nick 21 79
6 Nick 21 81
0 Tom 20 85
3 Tom 20 88
7 Tom 20 86
9 Tom 20 85
"""
instruct prompt
Analyze a dictionary of student data to return a dataframe sorted by name and age in ascending order, the average score per student as a pandas Series, and the most common age as an integer.
The function should raise the exception for: ValueError: If the dictionary does not have the required keys.
The function should output with:
pd.DataFrame, pd.Series, int or None:
A dataframe sorted by 'Name' and 'Age' in ascending order.
A series representing average scores indexed by student names.
An integer representing the most common age or None if no data is available.
You should write self-contained code starting with:
Code
import pandas as pd
from collections import Counter
def task_func(data):
code prompt
Code
import pandas as pd
from collections import Counter
def task_func(data):
entry point
task_func
libs
- pandas
- collections
Discussion
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See answer Answer published by the source
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Source and history
- task_id
efc1d36a-188c-54bf-8364-24f0b25c344a- task_key
default--v0~2e1~2e0~5fhf--efc1d36a-188c-54bf-8364-24f0b25c344a- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import