Added Pandas Iloc Rows Slice Dataframe node.

modules/pandas_wrapper/pandas_iloc_rows_slice_dataframe.py

@@ -0,0 +1,47 @@
+from typing import Any, Dict
+import pandas as pd
+
+
+class PandasIlocRowsSliceDataFrame:
+    """
+    Selects rows from a pandas DataFrame using a slice defined by a start and end integer position. The start position is inclusive, while the end position is exclusive. Returns the selected rows as a DataFrame.
+
+    category: Data subset selection
+    """
+
+    @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", {}),
+                "start_row": ("INT", {"default": 0, "min": -1, "max": 2**31}),
+                "end_row": ("INT", {"default": 0, "min": -1, "max": 2**31})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame,
+             start_row: int,
+             end_row:int) -> tuple:
+        """
+        Selects rows from a pandas DataFrame using a slice defined by a start and end integer position. The start position is inclusive, while the end position is exclusive. Returns the selected rows as a DataFrame.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+            start_row (int): The integer position of the start row (inclusive).
+            end_row (int): The integer position of the end row (exclusive).
+
+        Returns:
+            tuple: A tuple containing the DataFrame.
+        """
+        df2 = dataframe.iloc[start_row:end_row]
+        return (df2,)