benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf e06485b7-f8f0-5c3a-a7d4-994a0ad7bb9d
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
import numpy as np
def task_func(data_dir: str, csv_file: str) -> pd.DataFrame:
"""
Load a CSV file into a pandas DataFrame and replace the NaN values in
numeric columns with the mean of the corresponding column.
The resulting DataFrame is returned.
If an empty csv is passed, an empty DataFrame is returned.
Parameters:
- data_dir (str): The path to the directory containing the CSV file.
- csv_file (str): The name of the CSV file to be processed.
Returns:
pd.DataFrame: A pandas DataFrame with the processed data.
Raises:
FileNotFoundError: If csv_file does not exist.
Requirements:
- os
- pandas
- numpy
Example:
>>> df = task_func("/path/to/data/directory", "file.csv")
>>> print(df)
Fruit Taste Cost
0 Apple Good 1
1 Orange NaN 2
2 Avocado Bad 1.667
3 Coconut Tasty 2
"""
instruct prompt
Load a CSV file into a pandas DataFrame and replace the NaN values in numeric columns with the mean of the corresponding column. The resulting DataFrame is returned. If an empty csv is passed, an empty DataFrame is returned.
The function should raise the exception for: FileNotFoundError: If csv_file does not exist.
The function should output with:
pd.DataFrame: A pandas DataFrame with the processed data.
You should write self-contained code starting with:
Code
import os
import pandas as pd
import numpy as np
def task_func(data_dir: str, csv_file: str) -> pd.DataFrame:
code prompt
Code
import os
import pandas as pd
import numpy as np
def task_func(data_dir: str, csv_file: str) -> pd.DataFrame:
entry point
task_func
libs
- pandas
- numpy
- os
Discussion
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See answer Answer published by the source
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Source and history
- task_id
e06485b7-f8f0-5c3a-a7d4-994a0ad7bb9d- task_key
default--v0~2e1~2e0~5fhf--e06485b7-f8f0-5c3a-a7d4-994a0ad7bb9d- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import