Added Pandas Series To DataFrame and Pandas Transpose nodes.

__init__.py

@@ -59,6 +59,7 @@ from .modules.pandas_wrapper.pandas_save_json import PandasSaveJSON
 from .modules.pandas_wrapper.pandas_select_columns import PandasSelectColumns
 from .modules.pandas_wrapper.pandas_select_rows import PandasSelectRows
 from .modules.pandas_wrapper.pandas_series_to_string import PandasSeriesToString
+from .modules.pandas_wrapper.pandas_series_to_dataframe import PandasSeriesToDataFrame
 from .modules.pandas_wrapper.pandas_show_dataframe import PandasShowDataFrame
 from .modules.pandas_wrapper.pandas_show_index import PandasShowIndex
 from .modules.pandas_wrapper.pandas_show_series import PandasShowSeries
@@ -70,6 +71,7 @@ from .modules.pandas_wrapper.pandas_sub_series import PandasSubSeries
 from .modules.pandas_wrapper.pandas_sum import PandasSum
 from .modules.pandas_wrapper.pandas_summary import PandasSummary
 from .modules.pandas_wrapper.pandas_to_string import PandasToString
+from .modules.pandas_wrapper.pandas_transpose import PandasTranspose
 from .modules.pandas_wrapper.pandas_var import PandasVar
 from .modules.pandas_wrapper.pandas_vertical_concat import PandasVerticalConcat
 from .modules.pandas_wrapper.pandas_vertical_split import PandasVerticalSplit
@@ -137,6 +139,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PandasSelectColumns": PandasSelectColumns,
     "PandasSelectRows": PandasSelectRows,
     "PandasSeriesToString": PandasSeriesToString,
+    "PandasSeriesToDataFrame": PandasSeriesToDataFrame,
     "PandasShowDataFrame": PandasShowDataFrame,
     "PandasShowIndex": PandasShowIndex,
     "PandasShowSeries": PandasShowSeries,
@@ -148,6 +151,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PandasSum": PandasSum,
     "PandasSummary": PandasSummary,
     "PandasToString": PandasToString,
+    "PandasTranspose": PandasTranspose,
     "PandasVar": PandasVar,
     "PandasVerticalConcat": PandasVerticalConcat,
     "PandasVerticalSplit": PandasVerticalSplit
@@ -218,6 +222,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "PandasSelectColumns": "Pandas Select Columns",
     "PandasSelectRows": "Pandas Select Rows",
     "PandasSeriesToString": "Pandas Series To String",
+    "PandasSeriesToDataFrame": "Pandas Series To DataFrame",
     "PandasShowDataFrame": "Pandas Show DataFrame",
     "PandasShowIndex": "Pandas Show Index",
     "PandasShowSeries": "Pandas Show Series",
@@ -229,6 +234,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "PandasSum": "Pandas Sum",
     "PandasSummary": "Pandas Summary",
     "PandasToString": "Pandas To String",
+    "PandasTranspose": "Pandas Transpose",
     "PandasVar": "Pandas Var",
     "PandasVerticalConcat": "Pandas Vertical Concat",
     "PandasVerticalSplit": "Pandas Vertical Split"

docs/reference/node_reference.md

@@ -106,6 +106,8 @@
 | [Pandas Horizontal Split](pandas_horizontal_split.md) | Horizontally splits a Pandas DataFrame into two pandas DataFrames. |
 | [Pandas Join](pandas_join.md) | Merges two pandas DataFrames based on a common column. |
 | [Pandas Rename](pandas_rename.md) | Renames an index (row label) or a column label. |
+| [Pandas Series To Data Frame](pandas_series_to_dataframe.md) | Converts a Pandas Series to a DataFrame. |
 | [Pandas Sort](pandas_sort.md) | Sorts a pandas DataFrame by a specified column. |
+| [Pandas Transpose](pandas_transpose.md) | Transposes a DataFrame. |
 | [Pandas Vertical Concat](pandas_vertical_concat.md) | Vertically concatenates two pandas DataFrames. |
 | [Pandas Vertical Split](pandas_vertical_split.md) | Vertically splits a Pandas DataFrame into two pandas DataFrames. |

docs/reference/pandas_rename.md

@@ -1,6 +1,6 @@
 # Pandas Rename
 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.
 

docs/reference/pandas_series_to_dataframe.md

@@ -0,0 +1,19 @@
+# Pandas Series To Data Frame
+Converts a Pandas Series to a DataFrame.
+
+## Input
+| Name | Data type |
+|---|---|
+| series | Series |
+| label | String |
+| transpose | Boolean |
+
+## Output
+| Data type |
+|---|
+| DataFrame |
+
+<HR>
+Category: Transformation
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

docs/reference/pandas_transpose.md

@@ -0,0 +1,17 @@
+# Pandas Transpose
+Transposes a DataFrame.
+
+## Input
+| Name | Data type |
+|---|---|
+| dataframe | DataFrame |
+
+## Output
+| Data type |
+|---|
+| DataFrame |
+
+<HR>
+Category: Transformation
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

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(),)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "data-analysis"
 description = "Data analysis custom modules for ComfyUI - Use Pandas & Matplotlib within ComfyUI"
-version = "1.1.9"
+version = "1.1.10"
 license = {file = "LICENSE"}
 
 [project.urls]