tplot and tplot_panel

The tplot system provides a unified interface for time series visualization:

• tplot_panel: Creates single panel plots with support for multiple data types
• tplot: Combines multiple panels into a figure

Both functions are built on Makie's recipe system, allowing customization through plot attributes and functions.

using CairoMakie
using SPEDAS
using Unitful

Flexible and composable tplot_panel

# Create sample data
n = 24
data1 = rand(n) * 4u"km/s"  # Vector with units
data2 = rand(n) * 4u"km/s"  # Same units
data3 = rand(n) * 1u"eV"    # Different units
data4 = rand(n,4)           # Matrix (for heatmap)

f = Figure()

# Basic Plotting
tplot_panel(f[1, 1], data1; axis=(;title="Single time series"))

# Multiple Series (same y-axis)
tplot_panel(f[2, 1], [data1, data2]; axis=(;title="Multiple series"), plotfunc=lines!)

# Dual Y-Axes (different units)
tplot_panel(f[3, 1], (data1, data3); axis=(;title="Dual y-axes"), plotfunc=scatterlines!)

# Matrix as series
tplot_panel(f[1, 2], data4'; axis=(;title="Series"), plotfunc=series!)

# Overlay Series on Heatmap
tplot_panel(f[2, 2], [data4, data1, data2]; axis=(;title="Heatmap with overlays"))

# XY Plot (non-time series)
tplot_panel(f[3, 2], data2, data3; axis=(;title="XY plot (fallback)"))

f

Combining Multiple Panels

You can also combine multiple panels into a single figure using tplot. By default, it links the x-axis of each panel and layouts the panels in a single column.

tvars = [
    data1,
    [data1, data2],
    (data1, data3),
]
tplot(tvars)

tplot also supports plotting on GridPosition and GridSubposition objects

f=Figure()
tvars2 = [
    data4,
    [data4, data1, data2],
    (data2, data3)
]
tplot(f[1,1], tvars)
tplot(f[1,2], tvars2)
f