benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 0e4523ac-6618-57a2-a0eb-a60faaa69cf3
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(dataframe):
"""
Calculate the correlation matrix of a DataFrame and plot a scatter plot for the pair of columns with the highest absolute correlation.
Parameters:
- dataframe (pd.DataFrame): The DataFrame containing numeric columns for correlation calculation.
Returns:
- ax (plt.Axes): The scatter plot of the pair of columns with the highest absolute correlation.
Requirements:
- pandas
- numpy
- matplotlib
Exception Handling:
- Raises ValueError if the input DataFrame is empty.
- Raises TypeError if any column in the DataFrame is non-numeric.
- Raises ValueError if the DataFrame has fewer than two columns.
Example:
>>> df = pd.DataFrame({
... 'A': np.random.rand(100),
... 'B': np.random.rand(100),
... 'C': np.random.rand(100)
... })
>>> ax = task_func(df)
>>> print(ax)
Axes(0.125,0.11;0.775x0.77)
"""
instruct prompt
Calculate the correlation matrix of a DataFrame and plot a scatter plot for the pair of columns with the highest absolute correlation. Exception Handling: - Raises ValueError if the input DataFrame is empty. - Raises TypeError if any column in the DataFrame is non-numeric. - Raises ValueError if the DataFrame has fewer than two columns.
The function should output with:
ax (plt.Axes): The scatter plot of the pair of columns with the highest absolute correlation.
You should write self-contained code starting with:
Code
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(dataframe):
code prompt
Code
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def task_func(dataframe):
entry point
task_func
libs
- pandas
- numpy
- matplotlib
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
0e4523ac-6618-57a2-a0eb-a60faaa69cf3- task_key
default--v0~2e1~2e0~5fhf--0e4523ac-6618-57a2-a0eb-a60faaa69cf3- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import