benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 9e5bebcd-7f2e-5cc8-8b58-dae4fec42db5
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
from scipy.spatial import distance
import matplotlib.pyplot as plt
def task_func(a, b):
"""
Calculate the Euclidean distance between two lists, create a Pandas DataFrame from these lists
with indices 'A' and 'B', and then draw the values with a line displaying the Euclidean distance.
Parameters:
a (list): A list of numbers.
b (list): Another list of numbers.
Returns:
float: The computed Euclidean distance between the two lists.
pd.DataFrame: A DataFrame containing the two lists as columns.
matplotlib.axes.Axes: The generated plot's Axes object.
Requirements:
- pandas
- scipy.spatial
- matplotlib.pyplot
Example:
>>> euclidean_distance, df, ax = task_func([1, 2, 3], [2, 3, 4])
>>> print(euclidean_distance)
1.7320508075688772
"""
instruct prompt
Calculate the Euclidean distance between two lists, create a Pandas DataFrame from these lists with indices 'A' and 'B', and then draw the values with a line displaying the Euclidean distance.
The function should output with:
float: The computed Euclidean distance between the two lists.
pd.DataFrame: A DataFrame containing the two lists as columns.
matplotlib.axes.Axes: The generated plot's Axes object.
You should write self-contained code starting with:
Code
import pandas as pd
from scipy.spatial import distance
import matplotlib.pyplot as plt
def task_func(a, b):
code prompt
Code
import pandas as pd
from scipy.spatial import distance
import matplotlib.pyplot as plt
def task_func(a, b):
entry point
task_func
libs
- pandas
- matplotlib
- scipy
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
9e5bebcd-7f2e-5cc8-8b58-dae4fec42db5- task_key
default--v0~2e1~2e0~5fhf--9e5bebcd-7f2e-5cc8-8b58-dae4fec42db5- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import