Added Pandas Load CSV with Index node.

modules/pandas_wrapper/pandas_load_csv_with_index.py

@@ -0,0 +1,49 @@
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+
+
+class PandasLoadCSVWithIndex:
+    """
+    PandasLoadCSV:
+        A class for loading CSV files into a pandas DataFrame.
+        Input data is assume to have an index.
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the `load_csv` function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "file_path": ("STRING", {"multiline": False}),
+                "index_col": ("INT", {"default": 0, "min": 0, "max": 10000})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "load_csv"
+    CATEGORY: str = "Data Analysis"
+
+    def load_csv(self, file_path: str, index_col: int=0) -> tuple:
+        """
+        Loads a CSV file into a pandas DataFrame and converts it to a JSON string.
+        Input data is assume to have an index.
+
+        Args:
+            file_path (str): The path to the CSV file.
+
+        Returns:
+            tuple: A tuple containing a JSON string representation of the DataFrame.
+        """
+        # Read CSV file into DataFrame
+        df = pd.read_csv(file_path, index_col=index_col)
+
+        # Convert DataFrame to JSON
+        result_json = df.to_json()
+
+        return (result_json,)