45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
from typing import Any, Dict
|
|
import pandas as pd
|
|
|
|
|
|
class PandasReplace:
|
|
"""
|
|
Replaces part or all of a string in each DataFrame cell with a specified string using a wildcard for matching. If you want to remove some characters, then leave the replace_string field blank.
|
|
|
|
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", {}),
|
|
"regex": ("STRING", {"default": ""}),
|
|
"replacement_string": ("STRING", {"default": ""})
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES: tuple = ("DATAFRAME",)
|
|
FUNCTION: str = "f"
|
|
CATEGORY: str = "Data Analysis"
|
|
|
|
def f(self, dataframe: pd.DataFrame, regex: str, replacement_string: str) -> tuple:
|
|
"""
|
|
Replaces part or all of a string in each DataFrame cell with a specified string using a wildcard for matching.
|
|
|
|
Args:
|
|
dataframe (DataFrame): The target DataFrame.
|
|
regex (str): A regular expression pattern.
|
|
|
|
Returns:
|
|
tuple: A tuple containing the DataFrame.
|
|
"""
|
|
df2 = dataframe.replace({regex: replacement_string}, regex=True)
|
|
return (df2,)
|