benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf f8493936-3a29-58a8-aa44-5c825b52a763
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import os
import pandas as pd
from datetime import datetime
def task_func(excel_directory: str, file_name: str, column_name: str, start_date: str, end_date: str) -> pd.DataFrame:
"""
Filters data in a specific date range from a column in an Excel file and returns a Pandas DataFrame of the filtered data.
Parameters:
excel_directory (str): The directory of the Excel file.
file_name (str): The name of the Excel file.
column_name (str): The name of the date column to filter.
start_date (str): The start date in 'yyyy-mm-dd' format.
end_date (str): The end date in 'yyyy-mm-dd' format.
Returns:
pd.DataFrame: A pandas DataFrame with the filtered data.
Raises:
FileNotFoundError: If the specified Excel file does not exist.
ValueError: If start_date or end_date are in an incorrect format, or if column_name does not exist in the DataFrame.
Example:
>>> data_dir, file_name = './excel_files/', 'excel_file1.xls'
>>> test_file = create_dummy_file(data_dir, file_name)
>>> filtered_df = task_func(data_dir, file_name, 'Date', '2020-01-01', '2020-12-31')
>>> os.remove(test_file)
>>> os.rmdir(data_dir)
>>> print(filtered_df.head())
Unnamed: 0 Date Value
0 0 2020-01-01 0.823110
1 1 2020-01-02 0.026118
2 2 2020-01-03 0.210771
3 3 2020-01-04 0.618422
4 4 2020-01-05 0.098284
Requirements:
- os
- pandas
- datetime
"""
instruct prompt
Filters data in a specific date range from a column in an Excel file and returns a Pandas DataFrame of the filtered data.
The function should raise the exception for: FileNotFoundError: If the specified Excel file does not exist. ValueError: If start_date or end_date are in an incorrect format, or if column_name does not exist in the DataFrame.
The function should output with:
pd.DataFrame: A pandas DataFrame with the filtered data.
You should write self-contained code starting with:
Code
import os
import pandas as pd
from datetime import datetime
def task_func(excel_directory: str, file_name: str, column_name: str, start_date: str, end_date: str) -> pd.DataFrame:
code prompt
Code
import os
import pandas as pd
from datetime import datetime
def task_func(excel_directory: str, file_name: str, column_name: str, start_date: str, end_date: str) -> pd.DataFrame:
entry point
task_func
libs
- pandas
- datetime
- os
Discussion
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Source and history
- task_id
f8493936-3a29-58a8-aa44-5c825b52a763- task_key
default--v0~2e1~2e0~5fhf--f8493936-3a29-58a8-aa44-5c825b52a763- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import