Added PandasExcelFileSheetName and PyListToString nodes as well fixing ShowText.js. Added dependency on lxml to address broken html node without lxml

__init__.py

@@ -13,6 +13,7 @@ from .modules.cda.py_int_to_string import PyIntToString
 from .modules.cda.py_kv_float_create import PyKvFloatCreate
 from .modules.cda.py_kv_int_create import PyKvIntCreate
 from .modules.cda.py_kv_string_create import PyKvStringCreate
+from .modules.cda.py_list_to_string import PyListToString
 from .modules.cda.py_string_to_datetime import PyStringToDatetime
 from .modules.cda.py_string_to_dict import PyStringToDict
 from .modules.cda.py_string_to_float import PyStringToFloat
@@ -71,6 +72,7 @@ from .modules.pandas_wrapper.pandas_dropna import PandasDropNA
 from .modules.pandas_wrapper.pandas_eq import PandasEq
 from .modules.pandas_wrapper.pandas_eq_scalar_float import PandasEqScalarFloat
 from .modules.pandas_wrapper.pandas_eq_scalar_int import PandasEqScalarInt
+from .modules.pandas_wrapper.pandas_excel_file_sheet_names import PandasExcelFileSheetNames
 from .modules.pandas_wrapper.pandas_exp import PandasExp
 from .modules.pandas_wrapper.pandas_feature_split_to_numpy import PandasFeatureSplitToNumpy
 from .modules.pandas_wrapper.pandas_feature_split_to_pt import PandasFeatureSplitToPt
@@ -253,6 +255,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PandasEq": PandasEq,
     "PandasEqScalarFloat": PandasEqScalarFloat,
     "PandasEqScalarInt": PandasEqScalarInt,
+    "PandasExcelFileSheetNames": PandasExcelFileSheetNames,
     "PandasExp": PandasExp,
     "PandasFeatureSplitToNumpy": PandasFeatureSplitToNumpy,
     "PandasFeatureSplitToPt": PandasFeatureSplitToPt,
@@ -361,6 +364,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PyKvFloatCreate": PyKvFloatCreate,
     "PyKvIntCreate": PyKvIntCreate,
     "PyKvStringCreate": PyKvStringCreate,
+    "PyListToString": PyListToString,
     "PyStringToDatetime": PyStringToDatetime,
     "PyStringToDict": PyStringToDict,
     "PyStringToFloat": PyStringToFloat,
@@ -446,6 +450,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "PandasEq": "Pandas Eq",
     "PandasEqScalarFloat": "Pandas Eq Scalar Float",
     "PandasEqScalarInt": "Pandas Eq Scalar Int",
+    "PandasExcelFileSheetNames": "Pandas Excel File Sheet Names",
     "PandasExp": "Pandas Exp",
     "PandasFeatureSplitToNumpy": "Pandas Feature Split To Numpy",
     "PandasFeatureSplitToPt": "Pandas Feature Split To Pt",
@@ -554,6 +559,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "PyKvFloatCreate": "Py Kv Float Create",
     "PyKvIntCreate": "Py Kv Int Create",
     "PyKvStringCreate": "Py Kv String Create",
+    "PyListToString": "Py List To String",
     "PyStringToDatetime": "Py String To Datetime",
     "PyStringToDict": "Py String To Dict",
     "PyStringToFloat": "Py String To Float",

docs/reference/node_reference.md

@@ -118,6 +118,7 @@
 | [Pandas Create Series From List](pandas_create_series_from_list.md) | Creates a Pandas Series from a Python list. |
 | [Pandas Create Series From List Index List](pandas_create_series_from_list_index_list.md) | Creates a Pandas Series from a Python list of cell values and a list for index. |
 | [Pandas Create With Index](pandas_create_with_index.md) | Creates a pandas DataFrame using values entered in the text field. Input data is assumed to have an index. |
+| [Pandas Excel File Sheet Names](pandas_excel_file_sheet_names.md) | Returns the string list of sheet names contained in the Excel file. |
 | [Pandas Load CSV](pandas_load_csv.md) | Loads CSV files into a pandas DataFrame. |
 | [Pandas Load CSV With Encoding](pandas_load_csv_with_encoding.md) | Loads CSV files into a pandas DataFrame. |
 | [Pandas Load CSV With Index](pandas_load_csv_with_index.md) | Loads CSV files into a pandas DataFrame. |
@@ -189,6 +190,7 @@
 | [Py Kv Float Create](py_kv_float_create.md) | Creates a Python dictionary with a string key and a float value. |
 | [Py Kv Int Create](py_kv_int_create.md) |  Creates a Python dictionary with an string key and an integer value. |
 | [Py Kv String Create](py_kv_string_create.md) | Creates a Python dictionary with a string key and a string value. |
+| [Py List To String](py_list_to_string.md) | Converts a Python list value to a Python string |
 | [Py String To Datetime](py_string_to_datetime.md) | Converts a Python string to a Python datetime.datetime. |
 | [Py String To Dict](py_string_to_dict.md) | Creates a Python dictionary using the string values entered in the text field. |
 | [Py String To Float](py_string_to_float.md) | Converts a Python string to a float. |

docs/reference/pandas_excel_file_sheet_names.md

@@ -0,0 +1,23 @@
+# Pandas Excel File Sheet Names
+Returns the string list of sheet names contained in the Excel file.
+
+This node uses ExcelFile method using the openpyxl package.
+The openpyxl package is specified as a dependency in requirements.txt, so you should not need to manually install it.
+See [Pandas documentation](https://pandas.pydata.org/docs/reference/api/pandas.ExcelFile.html) for details.
+
+To display the list, connect output to PyListToString node to convert the list to a string, then connect the output to Pandas Show Text node to display the string.
+
+## Input
+| Name | Data type |
+|---|---|
+| file_path | String |
+
+## Output
+| Data type |
+|---|
+| Pylist |
+
+<HR>
+Category: IO
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

docs/reference/py_list_to_string.md

@@ -0,0 +1,17 @@
+# Py List To String
+Converts a Python list value to a Python string
+
+## Input
+| Name | Data type |
+|---|---|
+| value | Pylist |
+
+## Output
+| Data type |
+|---|
+| String |
+
+<HR>
+Category: Python wrapper
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

examples/workflows/excel_file_sheet_names.json

@@ -0,0 +1 @@
+{"id":"d3e44069-d0c1-4d4b-b205-9aac7b243871","revision":0,"last_node_id":3,"last_link_id":2,"nodes":[{"id":2,"type":"PyListToString","pos":[743.5132446289062,244.38381958007812],"size":[214.20001220703125,26],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"PYLIST","link":1}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[2]}],"properties":{"Node name for S&R":"PyListToString"}},{"id":1,"type":"PandasExcelFileSheetNames","pos":[350.7860107421875,242.56568908691406],"size":[365.4000244140625,58],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"file_path","name":"file_path","type":"STRING","widget":{"name":"file_path"},"link":null}],"outputs":[{"localized_name":"PYLIST","name":"PYLIST","type":"PYLIST","links":[1]}],"properties":{"Node name for S&R":"PandasExcelFileSheetNames"},"widgets_values":["custom_nodes/data-analysis/examples/datasets/test_file.xlsx"]},{"id":3,"type":"PandasShowText","pos":[987.1495361328125,242.56565856933594],"size":[210,76],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"text","name":"text","type":"STRING","link":2}],"outputs":[{"localized_name":"STRING","name":"STRING","shape":6,"type":"STRING","links":null}],"properties":{"Node name for S&R":"PandasShowText"},"widgets_values":["['Sheet1', 'FruitPrice']"]}],"links":[[1,1,0,2,0,"PYLIST"],[2,2,0,3,0,"STRING"]],"groups":[],"config":{},"extra":{"ds":{"scale":1.1000000000000005,"offset":[75.57754666842986,116.52528218135221]},"frontendVersion":"1.16.9","VHS_latentpreview":false,"VHS_latentpreviewrate":0,"VHS_MetadataImage":true,"VHS_KeepIntermediate":true},"version":0.4}

modules/cda/py_list_to_string.py

@@ -0,0 +1,39 @@
+from typing import Any, Dict, List
+
+class PyListToString:
+    """
+    Converts a Python list value to a Python string
+
+    category: Python wrapper
+    """
+    
+    @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": {
+                "value": ("PYLIST", {})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, value: List) -> tuple:
+        """
+        Converts a Python list value to a Python string
+
+        Args:
+            value (list): List value to convert.
+
+        Returns:
+            tuple: A tuple containing the converted value.
+        """
+        return (str(value),)
+    

modules/pandas_wrapper/pandas_excel_file_sheet_names.py

@@ -0,0 +1,51 @@
+from typing import Any, Dict
+import pandas as pd
+
+
+class PandasExcelFileSheetNames:
+    """
+    Returns the string list of sheet names contained in the Excel file.
+
+    This node uses ExcelFile method using the openpyxl package.
+    The openpyxl package is specified as a dependency in requirements.txt, so you should not need to manually install it.
+    See [Pandas documentation](https://pandas.pydata.org/docs/reference/api/pandas.ExcelFile.html) for details.
+
+    To display the list, connect output to PyListToString node to convert the list to a string, then connect the output to Pandas Show Text node to display the string.
+
+    category: IO
+    """
+    
+    @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": {
+                "file_path": ("STRING", {"multiline": False}),
+            }
+        }
+
+    RETURN_TYPES: tuple = ("PYLIST",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    @classmethod
+    def IS_CHANGED(cls, **kw):
+        return float("NaN")
+
+    def f(self, file_path: str) -> tuple:
+        """
+        Returns the string list of sheet names contained in the Excel file.
+
+        Args:
+            file_path (str): The path to the Excel file.
+
+        Returns:
+            tuple: A tuple containing a string list of sheet names.
+        """
+        pylist = pd.ExcelFile(file_path, engine="openpyxl").sheet_names
+        return (pylist,)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "data-analysis"
 description = "Data analysis custom modules for ComfyUI – Integrates Pandas, Seaborn and Matplotlib into ComfyUI."
-version = "3.0.7"
+version = "3.1.0"
 license = {file = "LICENSE"}
 
 [project.urls]

requirements.txt

@@ -3,4 +3,5 @@ pandas>=2.2.3
 seaborn>=0.13.2
 scipy>=1.14.1
 scikit-learn>=1.6.1
-openpyxl>=3.1.5
+openpyxl>=3.1.5
+lxml>=5.4.0

tests/cda/py_list_to_string_test.py

@@ -0,0 +1,29 @@
+import os
+import sys
+import unittest
+
+PROJECT_ROOT = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
+MODULE_ROOT = os.path.join(PROJECT_ROOT, "modules")
+sys.path.append(MODULE_ROOT)
+from cda.py_list_to_string import PyListToString
+
+class TestPyListToString(unittest.TestCase):
+    def setUp(self):
+        """Set up test data."""
+        self.node = PyListToString()
+        self.test_cases = [
+            ([1,2,3], "[1, 2, 3]"),
+            (["apple", "banana"], "['apple', 'banana']"),
+            ([], "[]")
+        ]
+
+    def test_list_to_string(self):
+        """Test converting a list to string."""
+        for value, expected in self.test_cases:
+            with self.subTest(value=value):
+                retval = self.node.f(value=value)[0]
+                self.assertEqual(retval, expected, f"Mismatch for value={value}")
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/pandas_wrapper/pandas_excel_file_sheet_names_test.py

@@ -0,0 +1,34 @@
+import os
+import sys
+import unittest
+import pandas as pd
+
+PROJECT_ROOT = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
+MODULE_ROOT = os.path.join(PROJECT_ROOT, "modules")
+sys.path.append(MODULE_ROOT)
+from pandas_wrapper.pandas_excel_file_sheet_names import PandasExcelFileSheetNames
+
+
+class TestPandasExcelFileSheetNames(unittest.TestCase):
+    def setUp(self):
+        """Set up test data."""
+        self.node = PandasExcelFileSheetNames()
+        self.test_file_path = os.path.join(
+                                os.path.dirname(__file__), "..", "..",
+                                "examples", "datasets", "test_file.xlsx")
+        
+        self.test_data_list = [
+                "Sheet1",
+                "FruitPrice"
+        ]
+
+    def test_excel_file_sheet_names(self):
+        """Reads sheet names from an excel file.
+        """
+        expected = self.test_data_list
+        actual = self.node.f(self.test_file_path)[0]
+        self.assertEqual(actual, expected)
+
+
+if __name__ == "__main__":
+    unittest.main()

web/js/ShowDataFrame.js

@@ -1,66 +0,0 @@
-/*
-This code is based on
-https://github.com/pythongosssss/ComfyUI-Custom-Scripts/blob/main/web/js/showText.js
-
-See credit/credit.md for the full license.
-*/
-
-import { app } from "../../../scripts/app.js";
-import { ComfyWidgets } from "../../../scripts/widgets.js";
-
-// Displays input text on a node
-app.registerExtension({
-	name: "HowToSD.ShowDataFrame",
-	async beforeRegisterNodeDef(nodeType, nodeData, app) {
-		if (nodeData.name === "PandasShowDataFrame") {  // This needs to match NODE_CLASS_MAPPINGS in Python
-			function populate(text) {
-				if (this.widgets) {
-					// Clear all widgets on the node
-					for (let i = 0; i < this.widgets.length; i++) {
-						// if onRemove method exists, call it.
-						this.widgets[i].onRemove?.();
-					}
-					this.widgets.length = 0;
-				}
-
-				const v = [...text]; // Copy the text list (e.g. text.copy())
-				if (!v[0]) {
-					v.shift();
-				}
-				for (const list of v) {
-					const w = ComfyWidgets["STRING"](this, "text0", ["STRING", { multiline: true }], app).widget;
-					w.inputEl.readOnly = true;
-					w.inputEl.style.opacity = 0.6;
-					w.value = list;
-				}
-
-				requestAnimationFrame(() => {
-					const sz = this.computeSize();
-					if (sz[0] < this.size[0]) {
-						sz[0] = this.size[0];
-					}
-					if (sz[1] < this.size[1]) {
-						sz[1] = this.size[1];
-					}
-					this.onResize?.(sz);
-					app.graph.setDirtyCanvas(true, false);
-				});
-			}
-
-			// When the node is executed we will be sent the input text, display this in the widget
-			const onExecuted = nodeType.prototype.onExecuted;
-			nodeType.prototype.onExecuted = function (message) {
-				onExecuted?.apply(this, arguments);
-				populate.call(this, message.text);
-			};
-
-			const onConfigure = nodeType.prototype.onConfigure;
-			nodeType.prototype.onConfigure = function () {
-				onConfigure?.apply(this, arguments);
-				if (this.widgets_values?.length) {
-					populate.call(this, this.widgets_values.slice(+this.widgets_values.length > 1));
-				}
-			};
-		}
-	},
-});

web/js/ShowIndex.js

@@ -1,66 +0,0 @@
-/*
-This code is based on
-https://github.com/pythongosssss/ComfyUI-Custom-Scripts/blob/main/web/js/showText.js
-
-See credit/credit.md for the full license.
-*/
-
-import { app } from "../../../scripts/app.js";
-import { ComfyWidgets } from "../../../scripts/widgets.js";
-
-// Displays input text on a node
-app.registerExtension({
-	name: "HowToSD.ShowIndex",
-	async beforeRegisterNodeDef(nodeType, nodeData, app) {
-		if (nodeData.name === "PandasShowIndex") {  // This needs to match NODE_CLASS_MAPPINGS in Python
-			function populate(text) {
-				if (this.widgets) {
-					// Clear all widgets on the node
-					for (let i = 0; i < this.widgets.length; i++) {
-						// if onRemove method exists, call it.
-						this.widgets[i].onRemove?.();
-					}
-					this.widgets.length = 0;
-				}
-
-				const v = [...text]; // Copy the text list (e.g. text.copy())
-				if (!v[0]) {
-					v.shift();
-				}
-				for (const list of v) {
-					const w = ComfyWidgets["STRING"](this, "text0", ["STRING", { multiline: true }], app).widget;
-					w.inputEl.readOnly = true;
-					w.inputEl.style.opacity = 0.6;
-					w.value = list;
-				}
-
-				requestAnimationFrame(() => {
-					const sz = this.computeSize();
-					if (sz[0] < this.size[0]) {
-						sz[0] = this.size[0];
-					}
-					if (sz[1] < this.size[1]) {
-						sz[1] = this.size[1];
-					}
-					this.onResize?.(sz);
-					app.graph.setDirtyCanvas(true, false);
-				});
-			}
-
-			// When the node is executed we will be sent the input text, display this in the widget
-			const onExecuted = nodeType.prototype.onExecuted;
-			nodeType.prototype.onExecuted = function (message) {
-				onExecuted?.apply(this, arguments);
-				populate.call(this, message.text);
-			};
-
-			const onConfigure = nodeType.prototype.onConfigure;
-			nodeType.prototype.onConfigure = function () {
-				onConfigure?.apply(this, arguments);
-				if (this.widgets_values?.length) {
-					populate.call(this, this.widgets_values.slice(+this.widgets_values.length > 1));
-				}
-			};
-		}
-	},
-});

web/js/ShowText.js

@@ -8,57 +8,134 @@ See credit/credit.md for the full license.
 import { app } from "../../../scripts/app.js";
 import { ComfyWidgets } from "../../../scripts/widgets.js";
 
-// Displays input text on a node
 app.registerExtension({
 	name: "HowToSD.ShowText",
 	async beforeRegisterNodeDef(nodeType, nodeData, app) {
-		if (["PandasShowText", "CDAShowInt", "CDAShowFloat"].includes(nodeData.name)) {  // This needs to match NODE_CLASS_MAPPINGS in Python
+
+		// Each node needs to match NODE_CLASS_MAPPINGS in Python
+		const targetNodes = [
+			"PandasShowText",
+			"PandasShowIndex",
+			"PandasShowDataFrame",
+			"CDAShowInt",
+			"CDAShowFloat",
+			"NumpyShow",
+			"PandasShowSeries",
+		]
+
+		const noConvertedFieldNodes = [
+			"CDAShowInt",
+			"CDAShowFloat",
+		]
+
+		if (targetNodes.includes(nodeData.name)) {
+
 			function populate(text) {
+				// 'this' is not bound automatically — it's explicitly set via .call() in onExecuted.
 				if (this.widgets) {
-					for (let i = 1; i < this.widgets.length; i++) {
+					// On older frontend versions there is a hidden converted-widget
+					// Legacy version: const isConvertedWidget = +!!this.inputs?.[0].widget;
+					const hasInputWidget = !!(this.inputs?.[0]?.widget); // Coerce to boolean: true if widget exists
+					let isConvertedWidget = hasInputWidget ? 1 : 0;    // Convert boolean to integer (1 or 0)
+
+					if (noConvertedFieldNodes.includes(nodeData.name)){ // Remove all widgets
+						isConvertedWidget = 0;
+					}
+
+					// Remove all dynamically added widgets, preserving the auto-converted input widget if present
+					for (let i = isConvertedWidget; i < this.widgets.length; i++) {
 						this.widgets[i].onRemove?.();
 					}
-					this.widgets.length = 1;
+					this.widgets.length = isConvertedWidget;
 				}
 
-				const v = [...text];
-				if (!v[0]) {
+				const v = [...text]; // Shallow copy of text array into v
+				// If the first element is empty or undefined, remove it from the array
+				if (!v[0]) { 
 					v.shift();
 				}
-				for (const list of v) {
-					const w = ComfyWidgets["STRING"](this, "text2", ["STRING", { multiline: true }], app).widget;
-					w.inputEl.readOnly = true;
-					w.inputEl.style.opacity = 0.6;
-					w.value = list;
+				for (let row of v) { // Iterate over v. v can be 1d or 2d.
+					if (!(row instanceof Array)) row = [row];
+					for (const elem of row) {
+						// Create a new STRING widget
+						// Use field name like "text_0", "text_1", accounting for existing widgets
+						const fieldName = "text_" + (this.widgets?.length ?? 0);
+						const w = ComfyWidgets["STRING"](
+							this,
+							fieldName,
+							["STRING", { multiline: true }],
+							app).widget;
+						w.inputEl.readOnly = true;
+						w.inputEl.style.opacity = 0.6;
+						w.value = elem;
+					}
 				}
 
+				/*
+					Defer until the next animation frame so all widgets are rendered and layout is stable.
+					Then compute the node size needed to fit new content.
+					If computeSize underestimates it, use the current node size as the floor to preserve layout.
+				*/
 				requestAnimationFrame(() => {
-					const sz = this.computeSize();
-					if (sz[0] < this.size[0]) {
-						sz[0] = this.size[0];
-					}
-					if (sz[1] < this.size[1]) {
-						sz[1] = this.size[1];
-					}
-					this.onResize?.(sz);
-					app.graph.setDirtyCanvas(true, false);
+					const sz = this.computeSize(); // Compute size based on current widgets
+
+					// Adjust to ensure the node fits its current visual width/height
+					if (sz[0] < this.size[0]) sz[0] = this.size[0]; // Fit existing node width
+					if (sz[1] < this.size[1]) sz[1] = this.size[1]; // Fit existing node height
+
+					this.onResize?.(sz); // Apply the size adjustment
+					app.graph.setDirtyCanvas(true, false); // Trigger a redraw of the canvas
 				});
 			}
 
+			// **onExecute** setup
 			// When the node is executed we will be sent the input text, display this in the widget
 			const onExecuted = nodeType.prototype.onExecuted;
 			nodeType.prototype.onExecuted = function (message) {
+				// Call the original onExecuted handler (if one exists), forwarding all arguments
 				onExecuted?.apply(this, arguments);
+
+				// Call our populate function, binding 'this' to the current node
 				populate.call(this, message.text);
 			};
 
+			// **configure** setup
+			const VALUES = Symbol(); // Unique internal key to store widget values
+			const configure = nodeType.prototype.configure;
+
+			nodeType.prototype.configure = function () {
+				// Store unmodified widget values as they get removed on configure by new frontend
+				// This value is applied in onConfigure
+				this[VALUES] = arguments[0]?.widgets_values;
+
+				// Call the original configure handler, if it exists
+				return configure?.apply(this, arguments);
+			};
+
+			// **onConfigure** setup
+			// Populate node's widgets using the saved values in Configure
 			const onConfigure = nodeType.prototype.onConfigure;
 			nodeType.prototype.onConfigure = function () {
 				onConfigure?.apply(this, arguments);
-				if (this.widgets_values?.length) {
-					populate.call(this, this.widgets_values.slice(+this.widgets_values.length > 1));
+
+				// Read saved widget values
+				const widgets_values = this[VALUES];
+				if (widgets_values?.length) {
+					// In newer frontend there seems to be a delay in creating the initial widget
+					requestAnimationFrame(() => {
+						// Legacy code
+						// populate.call(this,
+						//	widgets_values.slice(+(widgets_values.length > 1 && this.inputs?.[0].widget)));
+
+						const hasAutoWidget = widgets_values.length > 1 && this.inputs?.[0]?.widget;
+						let startIndex = hasAutoWidget ? 1 : 0;
+						if (noConvertedFieldNodes.includes(nodeData.name)){ // Remove all widgets
+								startIndex = 0;
+						}
+						populate.call(this, widgets_values.slice(startIndex));
+					});
 				}
 			};
 		}
 	},
-});
+});

web/js/ShowTextGeneric.js

@@ -1,66 +0,0 @@
-/*
-This code is based on
-https://github.com/pythongosssss/ComfyUI-Custom-Scripts/blob/main/web/js/showText.js
-
-See credit/credit.md for the full license.
-*/
-
-import { app } from "../../../scripts/app.js";
-import { ComfyWidgets } from "../../../scripts/widgets.js";
-
-// Displays input text on a node
-app.registerExtension({
-	name: "HowToSD.ShowTextGeneric",
-	async beforeRegisterNodeDef(nodeType, nodeData, app) {
-		if (["NumpyShow", "PandasShowSeries"].includes(nodeData.name)) {  // This needs to match NODE_CLASS_MAPPINGS in Python
-			function populate(text) {
-				if (this.widgets) {
-					// Clear all widgets on the node
-					for (let i = 0; i < this.widgets.length; i++) {
-						// if onRemove method exists, call it.
-						this.widgets[i].onRemove?.();
-					}
-					this.widgets.length = 0;
-				}
-
-				const v = [...text]; // Copy the text list (e.g. text.copy())
-				if (!v[0]) {
-					v.shift();
-				}
-				for (const list of v) {
-					const w = ComfyWidgets["STRING"](this, "text0", ["STRING", { multiline: true }], app).widget;
-					w.inputEl.readOnly = true;
-					w.inputEl.style.opacity = 0.6;
-					w.value = list;
-				}
-
-				requestAnimationFrame(() => {
-					const sz = this.computeSize();
-					if (sz[0] < this.size[0]) {
-						sz[0] = this.size[0];
-					}
-					if (sz[1] < this.size[1]) {
-						sz[1] = this.size[1];
-					}
-					this.onResize?.(sz);
-					app.graph.setDirtyCanvas(true, false);
-				});
-			}
-
-			// When the node is executed we will be sent the input text, display this in the widget
-			const onExecuted = nodeType.prototype.onExecuted;
-			nodeType.prototype.onExecuted = function (message) {
-				onExecuted?.apply(this, arguments);
-				populate.call(this, message.text);
-			};
-
-			const onConfigure = nodeType.prototype.onConfigure;
-			nodeType.prototype.onConfigure = function () {
-				onConfigure?.apply(this, arguments);
-				if (this.widgets_values?.length) {
-					populate.call(this, this.widgets_values.slice(+this.widgets_values.length > 1));
-				}
-			};
-		}
-	},
-});