Plotting variables along a line
This demo shows how to plot variables along a line.
using Vlasiator, PyPlot, Printf
using Vlasiator: RE # Earth radius [m]
function main()
files = filter(contains(r"^bulk.*\.vlsv$"), readdir())
nfiles = length(files)
x1, x2 = 8.0, 29.0
point1 = [x1, 0, 0] .* RE
point2 = [x2, 0, 0] .* RE
cellids, distances, coords =
let meta = load(files[1])
getcellinline(meta, point1, point2)
end
loc = range(x1, x2, length=length(cellids))
ρmin, ρmax = 0.0, 10.0 # [amu/cc]
vmin, vmax = -640.0, 0.0 # [km/s]
pmin, pmax = 0.0, 1.82 # [nPa]
bmin, bmax = -25.0, 60.0 # [nT]
fontsize = 14
fig, axs = plt.subplots(4, 1, figsize=(10, 15), sharex=true, constrained_layout=true)
axs[end].set_xlim(x1, x2)
axs[1].set_ylim(ρmin, ρmax)
axs[2].set_ylim(vmin, vmax)
axs[3].set_ylim(pmin, pmax)
axs[4].set_ylim(bmin, bmax)
for ax in axs
ax.xaxis.set_minor_locator(matplotlib.ticker.AutoMinorLocator())
ax.yaxis.set_minor_locator(matplotlib.ticker.AutoMinorLocator())
ax.grid(true)
end
axs[end].set_xlabel("x [Re]"; fontsize)
axs[1].set_ylabel("Density [amu/cc]"; fontsize)
axs[2].set_ylabel("Velocity [km/s]"; fontsize)
axs[3].set_ylabel("Pressure [nPa]"; fontsize)
axs[4].set_ylabel("Magnetic field [nT]"; fontsize)
# Loop over snapshots
for (i, file) in enumerate(files)
isfile("out/"*file[end-8:end-5]*".png") && continue
println("i = $i/$nfiles, file = $file")
meta = load(file)
p_extract = readvariable(meta, "P", cellids) .* 1e9 |> vec # [nPa]
rho_extract = readvariable(meta, "proton/vg_rho", cellids) |> vec
v_extract = readvariable(meta, "proton/vg_v", cellids)
vmag2_extract = sum(x -> x*x, v_extract, dims=1) |> vec
pram_extract = rho_extract .* Vlasiator.mᵢ .* vmag2_extract .* 1e9 # [nPa]
bz = readvariable(meta, "vg_b_vol", cellids)[3,:] .* 1e9 #[nT]
imagnetopause_ = findfirst(<(0.0), bz)
axs[1].plot(loc, rho_extract ./ 1e6, label="Proton density", color="#1f77b4")
vl1 = axs[1].vlines(loc[imagnetopause_], ρmin, ρmax;
colors="r", linestyle="dashed", alpha=0.5)
axs[2].plot(loc, v_extract[1,:] ./ 1e3, label="Vx", color="#1f77b4")
vl2 = axs[2].vlines(loc[imagnetopause_], vmin, vmax;
colors="r", linestyle="dashed", alpha=0.5)
axs[3].plot(loc, pram_extract, label="Ram", color="#1f77b4")
axs[3].plot(loc, p_extract, label="Thermal", color="#ff7f0e")
vl3 = axs[3].vlines(loc[imagnetopause_], pmin, pmax;
colors="r", linestyle="dashed", alpha=0.5)
axs[4].plot(loc, bz, label="Bz", color="#1f77b4")
hl4 = axs[4].hlines(0.0, loc[1], loc[end], colors="k", linestyle="dashed", alpha=0.2)
vl4 = axs[4].vlines(loc[imagnetopause_], bmin, bmax;
colors="r", linestyle="dashed", alpha=0.5)
str_title = @sprintf "t= %4.1fs" meta.time
axs[1].set_title(str_title; fontsize)
axs[2].legend(;loc="upper right", fontsize)
axs[3].legend(;loc="upper left", fontsize)
axs[4].legend(;loc="upper right", fontsize)
savefig("out/"*file[end-8:end-5]*".png", bbox_inches="tight")
for ax in axs
for line in ax.get_lines()
line.remove()
end
end
for line in (vl1, vl2, vl3, vl4, hl4)
line.remove()
end
end
close(fig)
println("Finished!")
end
main()
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