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Easier time series plotting.

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This commit is contained in:
Miikka Vaisala
2019-06-18 14:50:35 +08:00
parent 71a35b2027
commit 0f62651374
5 changed files with 139 additions and 63 deletions
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61
analysis/python/samples/readtest.py
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@@ -199,65 +199,6 @@ if 'sl' in sys.argv:
if 'ts' in sys.argv:
ts = ad.read.TimeSeries(fdir=meshdir)
end_rm = -1 #-35#-40
plt.figure()
xaxis = 't_step'
yaxis1 = 'lnrho_rms'
yaxis2 = 'lnrho_min'
yaxis3 = 'lnrho_max'
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
plt.xlabel(xaxis)
plt.legend()
plt.figure()
xaxis = 't_step'
yaxis1 = 'uutot_rms'
yaxis2 = 'uutot_min'
yaxis3 = 'uutot_max'
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
plt.xlabel(xaxis)
plt.legend()
plt.figure()
xaxis = 't_step'
yaxis1 = 'uux_rms'
yaxis2 = 'uux_min'
yaxis3 = 'uux_max'
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
plt.xlabel(xaxis)
plt.legend()
plt.figure()
xaxis = 't_step'
yaxis1 = 'uuy_rms'
yaxis2 = 'uuy_min'
yaxis3 = 'uuy_max'
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
plt.xlabel(xaxis)
plt.legend()
plt.figure()
xaxis = 't_step'
yaxis1 = 'uuz_rms'
yaxis2 = 'uuz_min'
yaxis3 = 'uuz_max'
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
plt.xlabel(xaxis)
plt.legend()
plt.show()
vis.lineplot.plot_ts(ts, lnrho=1, uutot=1, uux=1, ss=1)