👀 Views: 60 💬 Answers: 1 📅 Created: 2025-06-13

matplotlib svg export python

I'm experimenting with I just started working with I've been researching this but Quick question that's been bugging me - I'm having trouble with the figure size when exporting a Matplotlib plot to SVG format. I set the figure size using `figsize=(10, 6)` but when I export it, the resulting SVG file seems to ignore this size and appears much smaller in my vector graphics editor. I've used the following code to create and save my plot: ```python import matplotlib.pyplot as plt import numpy as np # Sample data x = np.linspace(0, 10, 100) y = np.sin(x) # Create the figure and axis plt.figure(figsize=(10, 6)) plt.plot(x, y) plt.title('Sine Wave') plt.xlabel('X-axis') plt.ylabel('Y-axis') # Save to SVG plt.savefig('sine_wave.svg', format='svg') ``` When I check the properties of the SVG file, it doesn't seem to reflect the `figsize` I specified. Instead, it's as if the figure was saved with a default size, making it difficult to work with in my graphics editor. I tried setting the DPI with `plt.savefig('sine_wave.svg', format='svg', dpi=300)` but it didn't help either. Additionally, I noticed that when I save to PNG format, the figure appears as expected. Is there a way to ensure that the SVG file retains the specified figure size? Any guidance on this would be greatly appreciated! How would you solve this? Any ideas what could be causing this?