Added Pandas Save CSV node

README.md

@@ -7,7 +7,8 @@ ComfyUI-Data-Analysis is a custom module for analyzing data using Pandas and Mat
 
 Currently, it supports the following nodes:
 
-- Loading CSV as a DataFrame
+- Loading a CSV file as a DataFrame
+- Saving a DataFrame to a CSV file
 - Selecting a subset of columns from a DataFrame
 - Selecting a subset of rows from a DataFrame by specifying a filter condition
 - Sorting a DataFrame by a column

__init__.py

@@ -5,6 +5,7 @@ from .modules.matplotlib.mpl_scatter import MPLScatter
 from .modules.pandas.pandas_head import PandasHead
 from .modules.pandas.pandas_join import PandasJoin
 from .modules.pandas.pandas_load_csv import PandasLoadCSV
+from .modules.pandas.pandas_save_csv import PandasSaveCSV
 from .modules.pandas.pandas_select_columns import PandasSelectColumns
 from .modules.pandas.pandas_select_rows import PandasSelectRows
 from .modules.pandas.pandas_show_dataframe import PandasShowDataFrame
@@ -21,6 +22,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PandasHead": PandasHead,
     "PandasJoin": PandasJoin,
     "PandasLoadCSV": PandasLoadCSV,
+    "PandasSaveCSV": PandasSaveCSV,
     "PandasSelectColumns": PandasSelectColumns,
     "PandasSelectRows": PandasSelectRows,
     "PandasShowDataFrame": PandasShowDataFrame,
@@ -38,6 +40,7 @@ NODE_CLASS_MAPPINGS (Dict[str, Type[T]]):
     - "PandasHead": Handles retrieving the first few rows of a DataFrame.
     - "PandasJoin": Provides functionality to join multiple DataFrames.
     - "PandasLoadCSV": Loads CSV data into a DataFrame.
+    - "PandasSaveCSV": Save a DataFrame to a CSV file.
     - "PandasSelectColumns": Selects specific columns from a DataFrame.
     - "PandasSelectRows": Filters specific rows from a DataFrame.
     - "PandasShowDataFrame": Displays the content of the DataFrame.
@@ -53,6 +56,7 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "PandasHead": "Pandas Head",
     "PandasJoin": "Pandas Join",
     "PandasLoadCSV": "Pandas Load CSV",
+    "PandasSaveCSV": "Pandas Save CSV",
     "PandasSelectColumns": "Pandas Select Columns",
     "PandasSelectRows": "Pandas Select Rows",
     "PandasShowDataFrame": "Pandas Show DataFrame",

docs/ug.md

@@ -35,6 +35,9 @@ Use **Pandas Load CSV** node to load a CSV.
 This will emit the DataFrame in a JSON string.
 CSV file path is relative to the ComfyUI installation directory unless you specify the absolute file path.
 
+## Saving data
+Use **Pandas Save CSV** node to save the DataFrame to a CSV file.
+
 ## Selecting columns and rows
 Use **Pandas Select Columns** for selecting columns, **Pandas Select Rows** to select rows by a filter condition.
 

modules/pandas/pandas_save_csv.py

@@ -0,0 +1,63 @@
+"""
+This code is based on
+https://github.com/pythongosssss/ComfyUI-Custom-Scripts/blob/main/py/show_text.py
+
+See credit/credit.md for the full license.
+"""
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+
+class PandasSaveCSV:
+    """
+    PandasSaveCSV:
+        A class for saving a PandasDataFrame to a CSV file.
+    """
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "dataframe_json": ("STRING", {"forceInput": True}),
+                "file_path": ("STRING", {"multiline": False})
+            },
+            "hidden": {
+                "unique_id": "UNIQUE_ID",
+                "extra_pnginfo": "EXTRA_PNGINFO",
+            },
+        }
+
+    INPUT_IS_LIST = True
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "save_csv"
+    OUTPUT_NODE = True
+    OUTPUT_IS_LIST = (True,)
+
+    CATEGORY = "Data Analysis"
+
+    def save_csv(self, dataframe_json,file_path=None, unique_id=None, extra_pnginfo=None):
+        text = None
+        if unique_id is not None and extra_pnginfo is not None:
+            if not isinstance(extra_pnginfo, list):
+                print("Error: extra_pnginfo is not a list")
+            elif (
+                not isinstance(extra_pnginfo[0], dict)
+                or "workflow" not in extra_pnginfo[0]
+            ):
+                print("Error: extra_pnginfo[0] is not a dict or missing 'workflow' key")
+            elif file_path is None or len(file_path) == 0:
+                print("Error: file path is not specified")
+            else:
+                # Deserialize JSON string to DataFrame
+                df = pd.read_json(StringIO(dataframe_json[0]))
+                df.to_csv(path_or_buf=file_path[0])  # Save as CSV
+                text = [str(df)]  # wrap in list
+                workflow = extra_pnginfo[0]["workflow"]
+                node = next(
+                    (x for x in workflow["nodes"] if str(x["id"]) == str(unique_id[0])),
+                    None,
+                )
+                if node:
+                    node["widgets_values"] = [text]
+        else:
+            print("unique_id or extra_pnginfo is None.")
+        return {"ui": {"text": text}, "result": (text,)}

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "data-analysis"
 description = "Data analysis custom modules for ComfyUI - Use Pandas & Matplotlib within ComfyUI"
-version = "1.0.4"
+version = "1.0.5"
 license = {file = "LICENSE"}
 
 [project.urls]

web/js/SaveCSV.js

@@ -0,0 +1,36 @@
+/*
+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.SaveCSV",
+	async beforeRegisterNodeDef(nodeType, nodeData, app) {
+		if (nodeData.name === "PandasSaveCSV") {  // This needs to match NODE_CLASS_MAPPINGS in Python
+			function populate(text) {
+				// No op as we are not updating the node's UI for now.
+			}
+
+			// 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));
+				}
+			};
+		}
+	},
+});