Added Pandas Series To DataFrame and Pandas Transpose nodes.

modules/pandas_wrapper/pandas_rename.py

@@ -5,7 +5,7 @@ import pandas as pd
 class PandasRename:
     """
     Renames an index (row label) or a column label.
-
+    Currently, renaming only works for string labels. Renaming of integer labels is not supported.
     Note below node parameter description is incomplete due to a reference generator's bug:
     * axis takes columns or index.
 

modules/pandas_wrapper/pandas_series_to_dataframe.py

@@ -0,0 +1,46 @@
+from typing import Any, Dict
+import pandas as pd
+
+class PandasSeriesToDataFrame:
+    """
+    Converts a Pandas Series to a DataFrame.
+
+    category: Transformation
+    """
+    
+    @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": {
+                "series": ("PDSERIES", {}),
+                "label": ("STRING", {"default": ""}),
+                "transpose": ("BOOLEAN", {"default": True})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, series: pd.Series, label: str, transpose: bool) -> tuple:
+        """
+        Converts a Pandas Series to a DataFrame.
+
+        Args:
+            series (Series): The Series.
+            label (str): The label for the Series in the DataFrame.
+            transpose (bool): Whether to transpose the DataFrame after conversion.
+                              If True, Series will become a row. Otherwise it will become a column.
+
+        Returns:
+            tuple: A tuple containing the DataFrame.
+        """
+        df = series.to_frame(name=label) if label else series.to_frame()
+        df = df.transpose() if transpose else df
+        return (df,)

modules/pandas_wrapper/pandas_transpose.py

@@ -0,0 +1,39 @@
+from typing import Any, Dict
+import pandas as pd
+
+class PandasTranspose:
+    """
+    Transposes a DataFrame.
+
+    category: Transformation
+    """
+    
+    @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", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("DATAFRAME",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, dataframe: pd.DataFrame) -> tuple:
+        """
+    Transposes a DataFrame.
+
+        Args:
+            dataframe (DataFrame): The DataFrame.
+
+        Returns:
+            tuple: A tuple containing a JSON string of the transposed DataFrame.
+        """
+        return (dataframe.transpose(),)