benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf a30f1971-b990-5349-9038-27d34cd223b3
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(a, b, columns=['A', 'B']):
"""
Standardize two lists of numbers using the StandardScaler from sklearn and visualize the standardized values using a bar plot.
Parameters:
a (list): A list of numbers.
b (list): Another list of numbers.
columns (list, optional): Column names for the resulting DataFrame. Defaults to ['A', 'B'].
Returns:
pd.DataFrame: A DataFrame containing the standardized values.
matplotlib.axes.Axes: Axes object of the displayed bar plot.
Requirements:
- numpy
- pandas
- sklearn.preprocessing
- matplotlib.pyplot
Example:
>>> df, ax = task_func([1, 2, 3, 4, 5], [2, 4, 6, 8, 10])
>>> isinstance(df, pd.DataFrame) and isinstance(ax, matplotlib.axes.Axes)
True
"""
instruct prompt
Standardize two lists of numbers using the StandardScaler from sklearn and visualize the standardized values using a bar plot.
The function should output with:
pd.DataFrame: A DataFrame containing the standardized values.
matplotlib.axes.Axes: Axes object of the displayed bar plot.
You should write self-contained code starting with:
Code
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(a, b, columns=['A', 'B']):
code prompt
Code
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(a, b, columns=['A', 'B']):
entry point
task_func
libs
- pandas
- numpy
- matplotlib
- sklearn
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
a30f1971-b990-5349-9038-27d34cd223b3- task_key
default--v0~2e1~2e0~5fhf--a30f1971-b990-5349-9038-27d34cd223b3- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import