Added Pandas Feature Split To Pt and Pandas Replace Advanced nodes.

docs/reference/node_reference.md

@@ -47,6 +47,7 @@
 | [Pandas Fill NA Scalar Int](pandas_fillna_scalar_int.md) | Replaces missing values in a Pandas DataFrame with an integer. |
 | [Pandas Is NA](pandas_isna.md) | Checks a pandas DataFrame for missing values. |
 | [Pandas Replace](pandas_replace.md) | Replaces part or all of a string in each DataFrame cell with a specified string using a wildcard for matching.  If you want to remove some characters, then leave the replace_string field blank. |
+| [Pandas Replace Advanced](pandas_replace_advanced.md) | Replaces strings in a DataFrame cell using a mapping specified in a dictionary. |
 ## Data subset selection
 | Node | Description |
 | --- | --- |
@@ -214,6 +215,7 @@
 | [Pandas At Set Int](pandas_at_set_int.md) | Sets a Python int data in a cell in a pandas DataFrame. |
 | [Pandas At Set String](pandas_at_set_string.md) | Sets a Python string data in a cell in a pandas DataFrame. |
 | [Pandas Feature Split To Numpy](pandas_feature_split_to_numpy.md) | Splits a Pandas DataFrame into feature Numpy ndarray and label Numpy ndarray. |
+| [Pandas Feature Split To Pt](pandas_feature_split_to_pt.md) | Splits a Pandas DataFrame into feature PyTorch tensor and label PyTorch tensor. |
 | [Pandas Horizontal Concat](pandas_horizontal_concat.md) | Horizontally concatenates two pandas DataFrames. |
 | [Pandas Horizontal Split](pandas_horizontal_split.md) | Horizontally splits a Pandas DataFrame into two pandas DataFrames. |
 | [Pandas Iat Set Datetime](pandas_iat_set_datetime.md) | Sets a Python datetime.datetime data in a cell in a pandas DataFrame. |

docs/reference/pandas_feature_split_to_pt.md

@@ -0,0 +1,23 @@
+# Pandas Feature Split To Pt
+Splits a Pandas DataFrame into feature PyTorch tensor and label PyTorch tensor.
+If output_1d_label is set, label will be output as a 1d array instead of a 2d array.
+
+## Input
+| Name | Data type |
+|---|---|
+| dataframe | DataFrame |
+| label_integer_position | Int |
+| output_1d_label | Boolean |
+| feature_data_type |  |
+| label_data_type |  |
+
+## Output
+| Data type |
+|---|
+| Ndarray |
+| Ndarray |
+
+<HR>
+Category: Transformation
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

docs/reference/pandas_replace_advanced.md

@@ -0,0 +1,22 @@
+# Pandas Replace Advanced
+Replaces strings in a DataFrame cell using a mapping specified in a dictionary.
+For example, if you want to replace "cat" with "dog" and replace "mountain" with "ocean", specify the mapping in Python dict format:
+```
+{"cat":"dog", "mountain":"ocean"}
+```
+
+## Input
+| Name | Data type |
+|---|---|
+| dataframe | DataFrame |
+| replacement_dict | String |
+
+## Output
+| Data type |
+|---|
+| DataFrame |
+
+<HR>
+Category: Data cleansing
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.