Added user's guide
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# User's Guide
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## Basic Concepts
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### How DataFrames is passed between nodes
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DataFrames are transmitted as JSON strings. When a DataFrame enters a node, it is reconstructed by deserializing the JSON string. Upon exiting, it is serialized back into a JSON string.
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### How to connect nodes for DataFrame JSON strings
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To connect the DataFrame JSON string output from one Pandas node to another, move the wire toward the top-left of the text field. You may need to hover around the corner to find the correct connection point.
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### How to add a node
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You can right-click, select **Add Node**, go to **Data Analysis**, and look for the following nodes:
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| Node Name | Functionality |
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|-------------------------|-------------------------------------|
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| **Pandas Load CSV** | Load a CSV file |
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| **Pandas Select Columns** | Select specific columns from a DataFrame |
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| **Pandas Select Rows** | Filter rows based on conditions |
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| **Pandas Join** | Join two DataFrames |
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| **Pandas Head** | Extract the first few rows |
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| **Pandas Show DataFrame** | Display DataFrame contents |
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| **Pandas Summary** | Show DataFrame statistics |
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| **Pandas Sort** | Sort DataFrame by a column |
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| **Pandas To String** | Convert DataFrame to a string |
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| **MPL Bar Chart** | Generate a bar chart |
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| **MPL Line Plot** | Generate a line plot |
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| **MPL Scatter Plot** | Generate a scatter plot |
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A faster way is to double-click the canvas to open the node search dialog.
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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.
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## Loading data
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Use **Pandas Load CSV** node to load a CSV.
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This will emit the DataFrame in a JSON string.
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CSV file path is relative to the ComfyUI installation directory unless you specify the absolute file path.
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## Selecting columns and rows
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Use **Pandas Select Columns** for selecting columns, **Pandas Select Rows** to select rows by a filter condition.
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## Joining DataFrames.
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Use **Pandas Join**. You can select from inner, left, right, outer joins.
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## Extract the first few rows
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Use **Pandas Head**.
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## Displaying DataFrame contents
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Use **Pandas Show DataFrame** node. When the number of rows is large, Pandas automatically hides middle rows during string conversion, so the display size should be always manageable.
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## Showing Show DataFrame statistics
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Use **Pandas Summary**.
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## Sorting DataFrame by a column
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Use **Pandas Sort**.
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## Convert DataFrame to a string
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Use **Pandas To String**. This node is to convert the DataFrame to a displayable string, and this truncates the data when the data is large. This can be used to display the data content in a text display node (e.g. Show Text node). However, you can use Show DataFrame nodes to display the DataFrame content, so you do not normally need to use this.
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## Displaying charts or plots
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Use one of the below:
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| **MPL Bar Chart** | Generate a bar chart |
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| **MPL Line Plot** | Generate a line plot |
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| **MPL Scatter Plot** | Generate a scatter plot |
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