Added Pandas Create and Pandas Create with Index nodes to create a DataFrame from text

modules/pandas_wrapper/pandas_create.py

@@ -0,0 +1,46 @@
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+
+
+class PandasCreate:
+    """
+    PandasLoadCSV:
+        A class for creating a pandas DataFrame using values entered in the text field.
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the `create` function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "data": ("STRING", {"multiline": True}),
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "create"
+    CATEGORY: str = "Data Analysis"
+
+    def create(self, data: str) -> tuple:
+        """
+        Create a pandas DataFrame using values entered in the text field and converts it to a JSON string.
+
+        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(StringIO(data))
+
+        # Convert DataFrame to JSON
+        result_json = df.to_json()
+
+        return (result_json,)

modules/pandas_wrapper/pandas_create_with_index.py

@@ -0,0 +1,49 @@
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+
+
+class PandasCreateWithIndex:
+    """
+    PandasLoadCSV:
+        A class for creating a pandas DataFrame using values entered in the text field.
+        Input data is assume to have an index.
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the `create` function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "data": ("STRING", {"multiline": True}),
+                "index_col": ("INT", {"default": 0, "min": 0, "max": 10000})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "create"
+    CATEGORY: str = "Data Analysis"
+
+    def create(self, data: str, index_col: int=0) -> tuple:
+        """
+        Create a pandas DataFrame using values entered in the text field 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(StringIO(data), index_col=index_col)
+
+        # Convert DataFrame to JSON
+        result_json = df.to_json()
+
+        return (result_json,)