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Added CDA JSON Create and Pandas Iloc Rows DataFrame nodes.

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HowToSD
2025-02-16 12:36:43 -08:00
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@@ -11,6 +11,8 @@ To connect the DataFrame JSON string output from one Pandas node to another, mov
### How to add a node
You can right-click, select **Add Node**, go to **Data Analysis**, and look for the following nodes:
### List of nodes
**Data loading, creation, saving**
| Node Name | Functionality |
|-------------------------|-------------------------------------|
| **Pandas Load CSV** | Load a CSV file |
@@ -19,21 +21,43 @@ You can right-click, select **Add Node**, go to **Data Analysis**, and look for
| **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 |
| **CDA JSON Create** | Create JSON from a string entered in a text field |
**Selecting subset of data**
| Node Name | Functionality |
|-------------------------|-------------------------------------|
| **Pandas Columns** | Extract column labels |
| **Pandas Index** | Extract row labels (index) |
| **Pandas Select Columns** | Select specific columns from a DataFrame |
| **Pandas Select Rows** | Filter rows based on conditions |
| **Pandas Iloc Row Series** | Select a row by row integer position |
| **Pandas Iloc Rows DataFrame** | Select rows by the list of row integer positions |
| **Pandas Loc Row Series** | Select a row by row label (index) |
| **Pandas Loc Cell Str** | Select a cell by row label (index) and column label (index) |
| **Pandas Join** | Join two DataFrames |
| **Pandas Head** | Extract the first few rows |
**Manipulating data**
| Node Name | Functionality |
|-------------------------|-------------------------------------|
| **Pandas Join** | Join two DataFrames |
| **Pandas Sort** | Sort DataFrame by a column |
**Displaying data**
| Node Name | Functionality |
|-------------------------|-------------------------------------|
| **Pandas Show DataFrame** | Display DataFrame contents |
| **Pandas Show Text** | Display Text |
| **Pandas Summary** | Extract DataFrame statistics |
| **Pandas Sort** | Sort DataFrame by a column |
**Converting to displayable string**
| Node Name | Functionality |
|-------------------------|-------------------------------------|
| **Pandas Series To String** | Convert Series to a displayable string |
| **Pandas To String** | Convert DataFrame to a displayable string |
**Plot, chart**
| Node Name | Functionality |
|-------------------------|-------------------------------------|
| **MPL Bar Chart** | Generate a bar chart |
| **MPL Line Plot** | Generate a line plot |
| **MPL Scatter Plot** | Generate a scatter plot |
@@ -52,12 +76,14 @@ CSV file path is relative to the ComfyUI installation directory unless you speci
## Saving data
Use **Pandas Save CSV** node to save the DataFrame to a CSV file.
## Creating DataFrame on the UI
Use **Pandas Create** or **Pandas Create with Index** nodes. These nodes display the multiline text area where you can enter the data in CSV format.
## Creating data on the UI
To construct a DataFrame on the UI, use **Pandas Create** or **Pandas Create with Index** nodes. These nodes display the multiline text area where you can enter the data in CSV format.
If the data contains an index column, use **Pandas Create with Index** and specify the index column.
![Pandas Columns and Pandas Index](images/columns_index.png)
Use **CDA JSON Create** to create JSON from a string entered in a text field. For example, if you want to create a list for a node that requires the list of integers for input, this node is ideal.
## Extracting column and row labels
Use **Pandas Columns** and **Pandas Index** nodes. As these nodes output JSON-serialized Index object, to display the value, use **Pandas Show Text** node as shown below:
@@ -70,7 +96,13 @@ Use **Pandas Select Rows** to select rows by a filter condition.
![Pandas select subset](images/subset.jpg)
You can use **Pandas Loc Row Series** to select a row by row label (index), or you can use **Pandas Iloc Row Series** to select a row by row integer position. Both nodes returns a JSON-serialized Series object.
You can use **Pandas Loc Row Series** to select a row by row label (index).
You can use **Pandas Iloc Row Series** to select a row by row integer position.
These nodes returns a JSON-serialized Series object.
You can use **Pandas Iloc Rows DataFrame** to select rows by the list of row integer positions. This node returns a JSON-serialized DataFrame object.
You need to pass the list of integers to this node. This can be done by using the **CDA JSON Create** node.
![Pandas Iloc Rows DataFrame](images/iloc_rows_dataframe.png)
For **Pandas Loc Row Series**, data type of the labels needs to be specified as shown below:
![Pandas Loc Row Series](images/loc_row_series.png)