Matplotlib Settings - Qualia Docs

Fine-grained control over how plots look. Changes apply to all new plots in your notebooks. These are only the defaults for matplotlib. These can be overridden by simply passing arguments into matplotlib plotting calls.

Display settings

Setting	Description
Display DPI	Resolution for inline plots
Figure size	Width and height in inches
Font family	Typeface for labels and titles
Font size	Base size for plot text
Line width	Default thickness for plot lines
Show grid	Display gridlines on plots

Color settings

Setting	Description
Default color cycle	Colors used for multiple data series
Default colormap	Gradient for heatmaps and continuous scales

Qualia includes several built-in color cycles including its own palette. You can also create custom color schemes.

Creating custom color cycles

Go to Settings > Matplotlib
Click Create Custom under color cycles
Add colors using hex codes or a color picker
Name and save your palette

Custom palettes appear in the dropdown alongside built-in options.

Export settings

Setting	Description
Save DPI	Resolution for exported figures
Save format	PNG, PDF, SVG, or JPG

These affect figures saved with plt.savefig() or the export button on plot outputs.

Applying changes

Settings take effect for new plots. Existing plots in your notebook retain their original styling until you re-run the cells. To apply new settings to existing plots:

Update your Matplotlib settings
Re-run the cells that generate plots