You can easily load data and make stackplots of Kyoto Geomagnetic indices.
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%pylab inline
import datetime as dt
import numpy as np
import matplotlib.pyplot as mp
from davitpy import pydarn
from davitpy import gme
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#Let's set a start and end date...
sTime = dt.datetime(2012,11,19)
eTime = dt.datetime(2012,11,20)
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#Now we read in AE Data...
ae=gme.ind.readAe(sTime,eTime)
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#You can plot AE in one easy command...
gme.plotting.plotGME(ae)
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#Or make things a little more fancy...
plotsTime = dt.datetime(2010,11,19,8,0)
ploteTime = dt.datetime(2010,11,19,12,0)
myFig = mp.figure(figsize=(9,10))
ax=myFig.add_subplot(311)
gme.plotting.plotGME(ae)
ax=myFig.add_subplot(312)
gme.plotting.plotGME(ae,parameter=('al','au'),NoLegend=True)
ax=myFig.add_subplot(313)
gme.plotting.plotGME(ae,parameter=('al','au','ao'))
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#Now we do the SYM and ASYM indices...
symasy=gme.ind.symasy.readSymAsy(sTime=sTime, eTime=eTime, symh=None, symd=None, asyh=None, asyd=None)
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myFig = mp.figure(figsize=(9,10))
ax=myFig.add_subplot(211)
gme.plotting.plotGME(symasy,parameter=['symh','symd'])
ax=myFig.add_subplot(212)
gme.plotting.plotGME(symasy,parameter=['asyh','asyd'])
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#And finally DST...
dst=gme.ind.readDst(sTime=sTime, eTime=eTime)
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myFig = mp.figure(figsize=(9,5))
gme.plotting.plotGME(dst)
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