benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 8fcb952c-2dbc-5ab5-a73b-cc60f03abe27
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import json
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
def task_func(json_data: str, key_path: list):
"""
Extracts and visualizes numerical data from a JSON structure based on a specified path of keys.
Parameters:
json_data (str): JSON formatted string.
key_path (list): List of strings representing the nested keys to locate the data within the JSON.
Returns:
matplotlib.figure.Figure: A matplotlib figure showing a boxplot of the data values.
Raises:
KeyError: If a specified key is not found.
ValueError: If no numeric data is found, or the data string is empty or corrupted.
Requirements:
- json
- numpy
- matplotlib
- seaborn
- pandas
Examples:
>>> json_data = '{"level1":{"level2":{"data":"1,2,3,4"}}}'
>>> key_path = ['level1', 'level2', 'data']
>>> fig = task_func(json_data, key_path)
>>> isinstance(fig, plt.Figure)
True
"""
instruct prompt
Extracts and visualizes numerical data from a JSON structure based on a specified path of keys.
The function should raise the exception for: KeyError: If a specified key is not found. ValueError: If no numeric data is found, or the data string is empty or corrupted.
The function should output with:
matplotlib.figure.Figure: A matplotlib figure showing a boxplot of the data values.
You should write self-contained code starting with:
Code
import json
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
def task_func(json_data: str, key_path: list):
code prompt
Code
import json
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
def task_func(json_data: str, key_path: list):
entry point
task_func
libs
- pandas
- matplotlib
- numpy
- seaborn
- json
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
8fcb952c-2dbc-5ab5-a73b-cc60f03abe27- task_key
default--v0~2e1~2e0~5fhf--8fcb952c-2dbc-5ab5-a73b-cc60f03abe27- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import