Added CDA JSON Create and Pandas Iloc Rows DataFrame nodes.

modules/cda/cda_json_create.py

@@ -0,0 +1,45 @@
+from typing import Any, Dict
+import json
+
+class CDAJSONCreate:
+    """
+    CDAJSONCreate:
+        A class for creating a serialized JSON object 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:
+        """
+        creating a serialized JSON object using values entered in the text field.
+        
+        Args:
+            data (str): String value in the text field.
+
+        Returns:
+            tuple: A tuple containing a JSON string representation of the DataFrame.
+        """
+        # Convert to JSON
+        json_obj = json.loads(data)
+
+        # Serialize to a string
+        result_jsons = json.dumps(json_obj)
+
+        return (result_jsons,)
+

modules/pandas_wrapper/pandas_create.py

@@ -5,7 +5,7 @@ import pandas as pd
 
 class PandasCreate:
     """
-    PandasLoadCSV:
+    PandasCreate:
         A class for creating a pandas DataFrame using values entered in the text field.
     """
     
@@ -32,7 +32,7 @@ class PandasCreate:
         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.
+            data (str): String value in the text field.
 
         Returns:
             tuple: A tuple containing a JSON string representation of the DataFrame.

modules/pandas_wrapper/pandas_create_with_index.py

@@ -5,7 +5,7 @@ import pandas as pd
 
 class PandasCreateWithIndex:
     """
-    PandasLoadCSV:
+    PandasCreateWithIndex:
         A class for creating a pandas DataFrame using values entered in the text field.
         Input data is assume to have an index.
     """
@@ -35,7 +35,8 @@ class PandasCreateWithIndex:
         Input data is assume to have an index.
 
         Args:
-            file_path (str): The path to the CSV file.
+            data (str): String value in the text field.
+            index_col (int): Position of the index column.
 
         Returns:
             tuple: A tuple containing a JSON string representation of the DataFrame.

modules/pandas_wrapper/pandas_iloc_rows_dataframe.py

@@ -0,0 +1,52 @@
+from typing import Any, Dict
+from io import StringIO
+import json
+import pandas as pd
+from .utils import series_to_jsons
+
+class PandasIlocRowsDataFrame:
+    """
+    PandasIlocRowsDataFrame:
+        A class for selecting rows from a pandas DataFrame and returning it as a DataFrame.
+        Rows are specified by the list of integer positions.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the `select_rows` function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "dataframe_json": ("STRING", {"multiline": True}),
+                "row_int_pos_list_json": ("STRING", {"multiline": False})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "select_rows"
+    CATEGORY: str = "Data Analysis"
+
+    def select_rows(self, dataframe_json: str,
+             row_int_pos_list_json: str) -> tuple:
+        """
+        Select rows from a pandas DataFrame and returning it as a DataFrame.
+        Rows are specified by the list of integer positions and returned as
+        the JSON serialized DataFrame object.
+
+        Args:
+            dataframe_json (str): A JSON string representation of the DataFrame.
+            row_int_pos_list_json (str): A list containing row integer positions.
+
+        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))
+        row_int_pos_list = json.loads(row_int_pos_list_json)
+        df2 = df.iloc[row_int_pos_list]
+        return (df2.to_json(),)