benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 92aaf9a2-0dd0-56e2-ba99-f1221812018e
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
def task_func(csv_file_path: str):
"""
This function reads data from a CSV file, normalizes a specific column named 'column1', and then plots the normalized data.
- The title is created using Python's string formatting, aligning 'Plot Title' and 'Normalized Column 1' on either side of a
colon, each padded to 20 characters.
- Similarly, the x-label is formatted with 'Index' and 'Normalized Value' on either side of a colon,
each padded to 20 characters.
- The y-label is set in the same manner, with 'Frequency' and 'Normalized Value' on either side of a colon.
Parameters:
- csv_file_path (str): Path to the CSV file. The file must contain a column named 'column1'.
Returns:
- The matplotlib.axes.Axes object with the plot of the normalized data.
Requirements:
- pandas
- matplotlib
Example:
>>> ax = task_func('data.csv')
>>> ax.get_title()
" Plot Title : Normalized Column 1"
"""
instruct prompt
This function reads data from a CSV file, normalizes a specific column named 'column1', and then plots the normalized data. - The title is created using Python's string formatting, aligning 'Plot Title' and 'Normalized Column 1' on either side of a colon, each padded to 20 characters. - Similarly, the x-label is formatted with 'Index' and 'Normalized Value' on either side of a colon, each padded to 20 characters. - The y-label is set in the same manner, with 'Frequency' and 'Normalized Value' on either side of a colon.
The function should output with:
The matplotlib.axes.Axes object with the plot of the normalized data.
You should write self-contained code starting with:
Code
import pandas as pd
import matplotlib.pyplot as plt
def task_func(csv_file_path: str):
code prompt
Code
import pandas as pd
import matplotlib.pyplot as plt
def task_func(csv_file_path: str):
entry point
task_func
libs
- pandas
- matplotlib
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
92aaf9a2-0dd0-56e2-ba99-f1221812018e- task_key
default--v0~2e1~2e0~5fhf--92aaf9a2-0dd0-56e2-ba99-f1221812018e- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import