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

__init__.py

@@ -52,6 +52,7 @@ from .modules.pandas_wrapper.pandas_mul import PandasMul
 from .modules.pandas_wrapper.pandas_mul_series import PandasMulSeries
 from .modules.pandas_wrapper.pandas_pow import PandasPow
 from .modules.pandas_wrapper.pandas_pow_series import PandasPowSeries
+from .modules.pandas_wrapper.pandas_replace import PandasReplace
 from .modules.pandas_wrapper.pandas_save_csv import PandasSaveCSV
 from .modules.pandas_wrapper.pandas_save_json import PandasSaveJSON
 from .modules.pandas_wrapper.pandas_select_columns import PandasSelectColumns
@@ -126,6 +127,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PandasMode": PandasMode,
     "PandasMul": PandasMul,
     "PandasMulSeries": PandasMulSeries,
+    "PandasReplace": PandasReplace,
     "PandasPow": PandasPow,
     "PandasPowSeries": PandasPowSeries,
     "PandasSaveCSV": PandasSaveCSV,
@@ -207,6 +209,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "PandasMulSeries": "Pandas Mul Series",
     "PandasPow": "Pandas Pow",
     "PandasPowSeries": "Pandas Pow Series",
+    "PandasReplace": "Pandas Replace",
     "PandasSaveCSV": "Pandas Save CSV",
     "PandasSaveJSON": "Pandas Save JSON",
     "PandasSelectColumns": "Pandas Select Columns",