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Feature: Add fig.canvas.download() for programmatic downloads
- Add public download() method to Canvas class - Allows triggering downloads from Python code without clicking button - Respects all savefig rcParams like the toolbar button - Includes comprehensive docstring with examples - Add test file demonstrating programmatic usage Use cases: - Batch downloading multiple figures - Automated workflows - Custom save logic in notebooks Example: fig, ax = plt.subplots() ax.plot([1, 2, 3]) fig.canvas.download() # Triggers browser download Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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test_programmatic_download.py

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"""
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Test programmatic download using fig.canvas.download()
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This demonstrates the new public API for triggering downloads from Python code
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without clicking the toolbar button.
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"""
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# This would be run in a Jupyter notebook with %matplotlib ipympl
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import matplotlib
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matplotlib.use('module://ipympl.backend_nbagg')
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import matplotlib.pyplot as plt
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import numpy as np
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# Example 1: Simple programmatic download
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print("Example 1: Simple download")
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fig, ax = plt.subplots()
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ax.plot([1, 2, 3], [1, 4, 2])
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ax.set_title('Programmatic Download Test')
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# Trigger download programmatically - no button click needed!
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fig.canvas.download()
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print(" -> Downloads as PNG (default format)")
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# Example 2: Download as PDF
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print("\nExample 2: Download as PDF")
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plt.rcParams['savefig.format'] = 'pdf'
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fig, ax = plt.subplots()
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ax.plot(np.linspace(0, 10, 100), np.sin(np.linspace(0, 10, 100)))
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ax.set_title('PDF Download')
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fig.canvas.download()
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print(" -> Downloads as PDF")
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# Example 3: Batch download multiple figures
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print("\nExample 3: Batch download 3 figures")
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plt.rcParams['savefig.format'] = 'png'
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for i in range(3):
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fig, ax = plt.subplots()
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ax.plot(np.random.randn(50))
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ax.set_title(f'Figure {i+1}')
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fig.canvas.download()
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print(f" -> Downloaded Figure {i+1}")
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# Example 4: Download with custom settings
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print("\nExample 4: Custom DPI and transparent background")
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plt.rcParams['savefig.dpi'] = 150
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plt.rcParams['savefig.transparent'] = True
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fig, ax = plt.subplots()
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ax.scatter(np.random.randn(100), np.random.randn(100))
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ax.set_title('High-res Transparent')
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fig.canvas.download()
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print(" -> Downloads as 150 DPI PNG with transparent background")
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print("\n✅ All programmatic downloads triggered!")
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print("Check your Downloads folder for the files.")

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