benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 36ca6869-8c60-5f41-947d-739db6fac7af
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import seaborn as sns
import numpy as np
# Constants
LABELS = ['H\u2082O', 'O\u2082', 'CO\u2082', 'N\u2082', 'Ar']
def task_func(x, y, labels):
"""
Create a heatmap using the seaborn library for "x" as x-values and "y" as y-values with labels.
Parameters:
x (list): List of numpy arrays representing the x-values of the data points.
y (list): List of numpy arrays representing the y-values of the data points.
labels (list): List of strings representing the labels for the chemical compounds.
Returns:
ax (Axes): A seaborn heatmap object.
df (DataFrame): The dataframe used to create the heatmap.
Requirements:
- numpy
- pandas
- seaborn
Example:
>>> x = [np.array([1,2,3]), np.array([4,5,6]), np.array([7,8,9])]
>>> y = [np.array([4,5,6]), np.array([7,8,9]), np.array([10,11,12])]
>>> labels = ['H\u2082O', 'O\u2082', 'CO\u2082']
>>> ax = task_func(x, y, labels)
"""
instruct prompt
Create a heatmap using the seaborn library for "x" as x-values and "y" as y-values with labels.
The function should output with:
ax (Axes): A seaborn heatmap object.
df (DataFrame): The dataframe used to create the heatmap.
You should write self-contained code starting with:
Code
import pandas as pd
import seaborn as sns
import numpy as np
# Constants
LABELS = ['H\u2082O', 'O\u2082', 'CO\u2082', 'N\u2082', 'Ar']
def task_func(x, y, labels):
code prompt
Code
import pandas as pd
import seaborn as sns
import numpy as np
# Constants
LABELS = ['H\u2082O', 'O\u2082', 'CO\u2082', 'N\u2082', 'Ar']
def task_func(x, y, labels):
entry point
task_func
libs
- pandas
- numpy
- seaborn
Discussion
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See answer Answer published by the source
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Source and history
- task_id
36ca6869-8c60-5f41-947d-739db6fac7af- task_key
default--v0~2e1~2e0~5fhf--36ca6869-8c60-5f41-947d-739db6fac7af- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import