Map and Timeseries Session

[Cadair]

Rendered

[dstansby]

Suggestions:

• Link to the GenericMap docstring when you mention map properties
• The 'go' etc. matplotlib formatting strings are a really un-intuitive way of specifying formatting, spell them out instead (e.g. color='green', marker='o')
• Label and add a legend to the plotted coordinates so it's easy to see which one is which
• Us a colormap that has an obvious zero point colour for plotting hmi (e.g. RdBu_r)

plt.figure(figsize=(10,10))
plt.subplot(projection=aia171)
aia171.plot(clip_interval=[1, 99.9]*u.percent)

lines = hmilos.draw_contours(levels, cmap="seismic")
plt.colorbar(lines, ticks=levels, label=u.Gauss)

I'm really confused here. Are you implicitly using the current axes to plot the contours? Wherever possible the axes being used to plot should be explicitly assigned a variable and passed to the various plotting functions, to make it clear what is being plotted on what.

[Cadair]

Us a colormap that has an obvious zero point colour for plotting hmi (e.g. RdBu_r)

I actually chose this for exactly this reason, it doesn't have a large gradient around the zero. All the other ones ended up with most of the contours being grey. I thought this was easier than changing the limits or the stretch etc.

[Cadair]

Label and add a legend to the plotted coordinates so it's easy to see which one is which

I would rather talk through this than add even more clutter to the already very verbose lines.