benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf adcc187c-3767-5fc8-a33b-995fd5a2e86e
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import matplotlib.pyplot as plt
COLUMNS = ['col1', 'col2', 'col3']
def task_func(data):
"""
You are given a list of elements. Each element is a list with the same length as COLUMNS, representing one row a dataframe df to create. Draw a line chart with unique values in the COLUMNS[-1] of the pandas DataFrame "df", grouped by the rest of the columns.
- The x-label should be set to the string obtained by joining all the column names (except the last one) by the character "-".
- The y-label should be set to the last column name.
Parameters:
- df (pandas.DataFrame): The DataFrame to be plotted.
Returns:
- tuple: A tuple containing:
- pandas.DataFrame: The DataFrame of the analyzed data.
- plt.Axes: The Axes object of the plotted line chart.
Requirements:
- pandas
- matplotlib
Example:
>>> data = [[1, 1, 1], [1, 1, 1], [1, 1, 2], [1, 2, 3], [1, 2, 3], [1, 2, 3], [2, 1, 1], [2, 1, 2], [2, 1, 3], [2, 2, 3], [2, 2, 3], [2, 2, 3]]
>>> analyzed_df, ax = task_func(data)
>>> print(analyzed_df)
col1 col2 col3
0 1 1 2
1 1 2 1
2 2 1 3
3 2 2 1
"""
instruct prompt
You are given a list of elements. Each element is a list with the same length as COLUMNS, representing one row a dataframe df to create. Draw a line chart with unique values in the COLUMNS[-1] of the pandas DataFrame "df", grouped by the rest of the columns. - The x-label should be set to the string obtained by joining all the column names (except the last one) by the character "-". - The y-label should be set to the last column name.
The function should output with:
tuple: A tuple containing:
pandas.DataFrame: The DataFrame of the analyzed data.
plt.Axes: The Axes object of the plotted line chart.
You should write self-contained code starting with:
Code
import pandas as pd
import matplotlib.pyplot as plt
COLUMNS = ['col1', 'col2', 'col3']
def task_func(data):
code prompt
Code
import pandas as pd
import matplotlib.pyplot as plt
COLUMNS = ['col1', 'col2', 'col3']
def task_func(data):
entry point
task_func
libs
- pandas
- matplotlib
Discussion
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Source and history
- task_id
adcc187c-3767-5fc8-a33b-995fd5a2e86e- task_key
default--v0~2e1~2e0~5fhf--adcc187c-3767-5fc8-a33b-995fd5a2e86e- task_revision_id
- 3
- config / split
- default / v0.1.0_hf
initial import