Added Pandas Iloc Row Series node.

modules/pandas_wrapper/pandas_iloc_row_series.py

@@ -0,0 +1,50 @@
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+from .utils import series_to_jsons
+
+class PandasIlocRowSeries:
+    """
+    PandasLocRowSeries:
+        A class for selecting a row from a pandas DataFrame and returning it as a Series.
+        The row is specified by its integer position, similar to an index in other software.
+        Note: In Pandas, "index" refers to a unique label assigned to each row or column. See https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the `select_row` function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe_json": ("STRING", {"multiline": True}),
+                "row_integer_position": ("INT", {"default": 0, "min": 0, "max": 2**31})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "select_row"
+    CATEGORY: str = "Data Analysis"
+
+    def select_row(self, dataframe_json: str,
+             row_integer_position: int) -> tuple:
+        """
+        Selects a specific row using a row label (row index) from a pandas DataFrame,
+        and returns the JSON serialized Series object.
+
+        Args:
+            dataframe_json (str): A JSON string representation of the DataFrame.
+            row_integer_position (int): The row integer position.
+
+        Returns:
+            tuple: A tuple containing the value of the row in string. The string is
+                   a JSON string containing the serialized Pandas Series object.
+        """
+        # Deserialize JSON string to DataFrame
+        df = pd.read_json(StringIO(dataframe_json))
+        value = df.iloc[row_integer_position]
+        return (series_to_jsons(value),)