# Compute the forward difference up to i=final -1
# array = array.values
for idx, value in enumerate(array):
if idx < len(array)-1:
new = array[idx+1]
out = new-value
if absolute:
out = abs(out)
sdiff.append(out)
if cumsum:
sdiff = list(np.cumsum(sdiff))
sdiff.append(sdiff[-1]) #REPEAST LAST VALUE
return sdiff
ts = aunps_glass()
ts.iunit = None #is the most accurate
ts.varunit = 'm'
from pandas import Index
ts.columns = Index(ts.columns)
area = ts.area()
DIFF = area.apply(sumdiff, axis=1, raw=False)
# Be careful when generating test data from Pandas Index/DataFrame objects, as this module has overwritten their defaul behavior
# best to generate them in other modules and import them to simulate realisitc usec ase
## For testing
from pyuvvis.core.timespectra import TimeSpectra
from pandas import date_range, DataFrame, Index
import numpy as np
import matplotlib.pyplot as plt
from pyuvvis.data import aunps_glass
spec = SpecIndex(np.arange(400, 700,10), unit='nm' )
spec2 = SpecIndex(np.arange(400, 700,10), unit='m' )
testdates = date_range(start='3/3/12', periods=30, freq='h')
testdates2 = date_range(start='3/3/12', periods=30, freq='h')
#ts = TimeSpectra(abs(np.random.randn(30,30)), columns=testdates, index=spec)
#t2 = TimeSpectra(abs(np.random.randn(30,30)), columns=testdates2, index=spec2)
ts = aunps_glass(style=1)
t2 = aunps_glass(style=2)
d = (('d1', ts), ('d2', t2))
##x = Panel(d)
stack = ts.as_iunit('r').split_by(5)
stack.reference = 0
#stack.plot(figsize=(8,8), colormap='RdBu')
#raise SyntaxError
#def random_noise(curve):
#from random import randint
#if randint(1,5) == 5: #20% chance of choosing 5
#curve = curve + 25 * np.random.randn(len(curve))
#return curve
from pyuvvis.core.timespectra import TimeSpectra
from pandas import date_range, DataFrame, Index
import numpy as np
import matplotlib.pyplot as plt
from pyuvvis.data import aunps_glass
spec = SpecIndex(np.arange(400, 700, 10), unit='nm')
spec2 = SpecIndex(np.arange(400, 700, 10), unit='m')
testdates = date_range(start='3/3/12', periods=30, freq='h')
testdates2 = date_range(start='3/3/12', periods=30, freq='h')
#ts = TimeSpectra(abs(np.random.randn(30,30)), columns=testdates, index=spec)
#t2 = TimeSpectra(abs(np.random.randn(30,30)), columns=testdates2, index=spec2)
ts = aunps_glass(style=1)
t2 = aunps_glass(style=2)
d = (('d1', ts), ('d2', t2))
##x = Panel(d)
stack = ts.as_iunit('r').split_by(5)
stack.reference = 0
#stack.plot(figsize=(8,8), colormap='RdBu')
#raise SyntaxError
#def random_noise(curve):
#from random import randint
#if randint(1,5) == 5: #20% chance of choosing 5
#curve = curve + 25 * np.random.randn(len(curve))
#return curve
pltkwds.setdefault('xlabel', tunit)
pltkwds.setdefault('ylabel', '$\int$ %s d$\lambda$'%ranged_ts.full_iunit)
pltkwds.setdefault('title', 'Area: '+ ranged_ts.name )
# If shape is wrong, take transpose
if ranged_ts.ndim > 1:
rows, cols = ranged_ts.shape
if cols == 1 and rows != 1:
out = ranged_ts
else:
logger.warn("areaplot() forcing transpose on %s for plotting"
% ranged_ts.name)
# _df.transpose() causes error now because specunit is being transferred!
out = ranged_ts.transpose()
# If series, just pass in directly
else:
out = ranged_ts
# Pass in df.tranpose() as hack until I fix specunit (otherwise it tries to
# assign specunit to the index, which is a time index (this causes error in new pandas)
return _genplot(out, **pltkwds) #ts TRANSPOSE
if __name__ == '__main__':
from pyuvvis.data import aunps_glass
ts = aunps_glass()
# specplot(ts)
areaplot(ts)
plt.show()
shrink=0.75)
cb = fig.colorbar(contours, cax=cax,**kw)# ticks=[0,zz.max().max()], **kw)
cb.locator = mplticker.MaxNLocator(nbins=cbar_nticks+1) #Cuts off one usually
cb.update_ticks()
fig.suptitle(title, fontsize='large') # Still overpads
return (ax1, ax2, ax3, ax4)
if __name__ == '__main__':
from matplotlib import rc
from pyuvvis.data import aunps_glass
ts = aunps_glass().as_interval('s')
ts.specunit = 'ev'
xx,yy = np.meshgrid(ts.columns, ts.index)
#_gencorr2d(xx, yy, ts,
#fill=True,
#title='My baller plot',
#xlabel=ts.full_varunit,
#ylabel=ts.full_specunit,
#contours=20,
#cbar = True,
#background=False)
# _gen2d(xx, yy, ts, cbar=True, fill=True, contours=20)