Added Pandas Replace to replace part or whole string in each DataFrame cell using a regular expression.

modules/pandas_wrapper/pandas_replace.py

@@ -0,0 +1,44 @@
+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,)

modules/pandas_wrapper/utils.py

@@ -2,6 +2,7 @@ import json
 import numpy as np
 import pandas as pd
 
+
 def series_to_jsons(series: pd.Series) -> str:
     """
     Convert a pandas Series to a JSON string.