Added Pandas Load CSV With Encoding node to support non-utf-8 files

__init__.py

@@ -9,6 +9,7 @@ from .modules.pandas_wrapper.pandas_head import PandasHead
 from .modules.pandas_wrapper.pandas_index import PandasIndex
 from .modules.pandas_wrapper.pandas_join import PandasJoin
 from .modules.pandas_wrapper.pandas_load_csv import PandasLoadCSV
+from .modules.pandas_wrapper.pandas_load_csv_with_encoding import PandasLoadCSVWithEncoding
 from .modules.pandas_wrapper.pandas_load_csv_with_index import PandasLoadCSVWithIndex
 from .modules.pandas_wrapper.pandas_loc_cell_str import PandasLocCellStr
 from .modules.pandas_wrapper.pandas_loc_row_series import PandasLocRowSeries
@@ -35,6 +36,7 @@ NODE_CLASS_MAPPINGS: Dict[str, Type[T]] = {
     "PandasIndex": PandasIndex,
     "PandasJoin": PandasJoin,
     "PandasLoadCSV": PandasLoadCSV,
+    "PandasLoadCSVWithEncoding": PandasLoadCSVWithEncoding,
     "PandasLoadCSVWithIndex": PandasLoadCSVWithIndex,
     "PandasLocCellStr": PandasLocCellStr,
     "PandasLocRowSeries": PandasLocRowSeries,
@@ -59,12 +61,13 @@ NODE_DISPLAY_NAME_MAPPINGS: Dict[str, str] = {
     "MPLScatter": "MPL Scatter Plot",
     "PandasColumns": "Pandas Columns",
     "PandasCreate": "Pandas Create",
-    "PandasCreateWithIndex": "Pandas Create with Index",
+    "PandasCreateWithIndex": "Pandas Create With Index",
     "PandasHead": "Pandas Head",
     "PandasIndex": "Pandas Index",
     "PandasJoin": "Pandas Join",
     "PandasLoadCSV": "Pandas Load CSV",
-    "PandasLoadCSVWithIndex": "Pandas Load CSV with Index",
+    "PandasLoadCSVWithEncoding": "Pandas Load CSV With Encoding",
+    "PandasLoadCSVWithIndex": "Pandas Load CSV With Index",
     "PandasLocCellStr": "Pandas Loc Cell Str",
     "PandasLocRowSeries": "Pandas Loc Row Series",
     "PandasSaveCSV": "Pandas Save CSV",

docs/ug.md

@@ -14,10 +14,11 @@ You can right-click, select **Add Node**, go to **Data Analysis**, and look for
 | Node Name               | Functionality                        |
 |-------------------------|-------------------------------------|
 | **Pandas Load CSV**     | Load a CSV file                    |
-| **Pandas Load CSV with Index**     | Load a CSV file containing index |
+| **Pandas Load CSV With Encoding**     | Load a CSV file not encoded in utf-8 |
+| **Pandas Load CSV With Index**     | Load a CSV file containing index |
 | **Pandas Save CSV**     | Save a DataFrame to a CSV file     |
 | **Pandas Create**     | Create a DataFrame from CSV text field |
-| **Pandas Create with Index**     | Create a DataFrame from CSV text field containing index |
+| **Pandas Create With Index**     | Create a DataFrame from CSV text field containing index |
 | **Pandas Columns**      | Extract column labels     |
 | **Pandas Index**        | Extract row labels (index)     |
 | **Pandas Select Columns** | Select specific columns from a DataFrame |
@@ -41,10 +42,10 @@ A faster way is to double-click the canvas to open the node search dialog.
 The examples directory contains workflows that load data from an example dataset included in this package. These workflows should give you a good idea about how to use these nodes.
 
 ## Loading data
-Use **Pandas Load CSV** node to load a CSV, or **Pandas Load CSV with Index** node if the CSV contains an index column.
+Use **Pandas Load CSV** node to load a CSV, or **Pandas Load CSV With Index** node if the CSV contains an index column.  These nodes assume that the file is encoded in utf-8. If the file is not encoded in utf-8, use **Pandas Load CSV With Encoding** to specify the encoding of the file.  This is necessary if the data was collected before utf-8 encoding became popular.  For example, you can try "latin_1" for a file that contains accented characters in the US and Western Europe.
 ![Pandas Load CSV node](images/load.jpg)
 
-This will emit the DataFrame in a JSON string.
+These nodes 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

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "data-analysis"
 description = "Data analysis custom modules for ComfyUI - Use Pandas & Matplotlib within ComfyUI"
-version = "1.0.10"
+version = "1.0.11"
 license = {file = "LICENSE"}
 
 [project.urls]