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npm Adopts OIDC for Trusted Publishing in CI/CD Workflows
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
Matplotlib by default only allows you to export your figures in formats that are used for publishing (e.g., a .pgf
file, a resterized .png
file, etc.). MATLAB allows you to save files in a .fig
format which allows you to change the plot very easily (say, to fix a typo on an axis label, or to change the colorscheme). mplfig strives to bring this functionality to matplotlib. With mplfig, you can save your matplotlib files and load them right back up in another python script.
First, create a figure and save with it mplfig.
import mplfig
import matplotlib.pyplot as plt
xs = list(range(10))
ys = list(map(lambda x: x**2, xs))
plt.plot(xs, ys)
mplfig.save_figure(plt.gcf(), 'myfig.mplpkl')
plt.show()
Next, load it back up and change the figure!
import mplfig
import matplotlib.pyplot as plt
fig = mplfig.load_figure('myfig.mplpkl') # Load the saved figure
axes = fig.get_axes()
axes[0].set_xlabel('$x$') # Add an x label
axes[0].set_ylabel('$y = x^2$') # Add a y label
axes[0].lines[0].set_marker('o') # Add a circle marker
plt.show()
mplfig is on PyPI
pip3 install -U mplfig
FAQs
Save and load matplotlib figures like MATLAB's .fig files!
We found that mplfig demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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