benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf e7500727-8a48-5a1e-a419-f19cd0790c1f
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
from datetime import datetime
def task_func(data, date_format, country, country_codes=None):
"""
Draw a histogram of the data from a DataFrame column of the pandas after converting the data into a specific format,
and return the matplotlib Axes object.
Parameters:
data (DataFrame): The pandas DataFrame containing date strings. The DataFrame has a column named 'dates' with the format '%d/%m/%Y'
date_format (str): The date format string.
country (str): The country name.
country_codes (dict, optional): A dictionary mapping country names. Defaults to a predefined dictionary, where default is:
default_country_codes = {
'Russia': 'ru_RU',
'Germany': 'de_DE',
'France': 'fr_FR',
'Spain': 'es_ES',
'Italy': 'it_IT'
}
Returns:
matplotlib.axes.Axes: The Axes object of the plotted histogram.
Raises:
ValueError: If 'data' is not a DataFrame, 'date_format' is not a string, 'country' is not in 'country_codes',
or 'country_codes' is not a dictionary.
Additional Notes:
The title of the plot should be 'Date Distribution'. The y label should be named with 'Frequency'.
Requirements:
- pandas
- datetime
Example:
>>> data = pd.DataFrame({'dates': ['01/01/2000', '01/02/2000', '02/03/2000', '04/05/2000', '06/07/2000']})
>>> ax = task_func(data, '%d/%m/%Y', 'Russia')
>>> ax.get_title()
'Date Distribution'
"""
instruct prompt
Draw a histogram of the data from a DataFrame column of the pandas after converting the data into a specific format, and return the matplotlib Axes object. Additional Notes: The title of the plot should be 'Date Distribution'. The y label should be named with 'Frequency'.
The function should raise the exception for: ValueError: If 'data' is not a DataFrame, 'date_format' is not a string, 'country' is not in 'country_codes', or 'country_codes' is not a dictionary.
The function should output with:
matplotlib.axes.Axes: The Axes object of the plotted histogram.
You should write self-contained code starting with:
Code
import pandas as pd
from datetime import datetime
def task_func(data, date_format, country, country_codes=None):
code prompt
Code
import pandas as pd
from datetime import datetime
def task_func(data, date_format, country, country_codes=None):
entry point
task_func
libs
- pandas
- datetime
Discussion
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Source and history
- task_id
e7500727-8a48-5a1e-a419-f19cd0790c1f- task_key
default--v0~2e1~2e0~5fhf--e7500727-8a48-5a1e-a419-f19cd0790c1f- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import