Files

41 lines
950 B
Python

from typing import Any, Dict
import pandas as pd
class PandasDropNA:
"""
Pandas Drop NA:
Drops missing values from a pandas DataFrame.
category: Data cleansing
"""
@classmethod
def INPUT_TYPES(cls) -> Dict[str, Any]:
"""
Defines the input types for the function.
Returns:
Dict[str, Any]: A dictionary specifying required input types.
"""
return {
"required": {
"dataframe": ("DATAFRAME", {})
}
}
RETURN_TYPES: tuple = ("DATAFRAME",)
FUNCTION: str = "dropna"
CATEGORY: str = "Data Analysis"
def dropna(self, dataframe: pd.DataFrame) -> tuple:
"""
Returns a DataFrame with missing values removed.
Args:
dataframe (DataFrame): The DataFrame.
Returns:
tuple: A tuple containing the DataFrame.
"""
return (dataframe.dropna(),)