Examples

matplotly supports a wide range of matplotlib plot types. Each demo notebook in the repository shows how to use the editor with a specific plot type. See Plot Types Reference for a detailed reference of available controls.

Supported plot types

Line plots — ax.plot()

Color, linewidth, linestyle, marker style, marker size, alpha. Each line gets its own collapsible panel in the sidebar.

Scatter plots — ax.scatter()

Face color, edge color, marker style, marker size, alpha. Edge color can auto-sync with face color or be set independently.

Bar charts — ax.bar() / ax.barh()

Per-bar color, edge color, edge width, alpha, hatch pattern. Shared controls for bar width, gap, orientation, and tick labels.

Histograms — ax.hist()

Per-histogram color, edge color, alpha, hatch. Shared controls for bin count, histogram type (bar/step/stepfilled), mode (count/frequency/density), cumulative toggle, and orientation.

Box plots — ax.boxplot()

Box color, linewidth, hatch, notch toggle. Separate controls for median line, whisker/cap styling, and flier (outlier) markers. Display mode switching between box, violin, jitter, and combinations.

Violin plots — ax.violinplot()

Same distribution controls as box plots. Switch between display modes (box, violin, jitter) and combinations.

Error bars — ax.errorbar()

Line color, linewidth, linestyle, marker styling. Separate controls for cap size and cap thickness.

Heatmaps — ax.imshow() / ax.pcolormesh()

Colormap selection and colorbar controls.

Fill regions — ax.fill_between() / ax.fill_betweenx()

Fill color, alpha, hatch pattern.

Marginal plots — joint + marginal distributions

Scatter plot with marginal histograms on top and right axes. Histogram styling syncs with the scatter color by default.

See the demo_*.ipynb notebooks in the repository root for interactive walkthroughs of each type.