[Term Entry] Python Pillow Library method: .split()

content/pillow/concepts/image/terms/split/split.md

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+---
+Title: '.split()' 
+Description: 'Splits an image into individual bands.' 
+Subjects: 
+  - 'Computer Science'
+  - 'Data Visualization'
+Tags:
+  - 'Images'
+  - 'Methods' 
+  - 'Pillow'
+  - 'Python'
+CatalogContent: 
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.split()`** method in the Pillow library returns a tuple containing individual bands (channels) of an image. Each band is returned as a separate grayscale image. This method is commonly used in:
+- **Color manipulation:** Isolating a color channel for analysis or adjustment.
+- **Image filtering:** Applying effects to individual bands.
+- **Computer vision:** Preprocessing steps that require access to raw channel data.
+- **Image compositing:** Combining or modifying specific color components.
+
+## Syntax
+
+```pseudo
+Image.split()
+```
+
+Splitting an RGB image creates three new images, each containing a copy of one of the original bands (red, green, blue).
+- For an RGB image, `.split()` returns three images corresponding to the Red, Green, and Blue bands. `r, g, b = img.split()`
+- For an RGBA image, `.split()` returns four images: Red, Green, Blue, and Alpha (transparency). `r, g, b, a = img.split()`
+
+## Example
+
+The following code opens an image, splits it into its bands, and displays the red channel:
+
+```py
+from PIL import Image
+
+# Open the image
+img = Image.open("example.jpg")
+
+# Split the image into bands
+r, g, b = img.split()
+
+# Show the red band
+r.show()
+```