Df dimensions were: %i,%i'%(s0, s1))
### IMPLEMENT TEST FOR ANTI-SYMMETRY, NOT SURE HOW
pltkwds['zlabel']=pltkwds.pop('zlabel', 'Asynchronicity')
pltkwds['title_def']='Asynchronous Spectrum'
corr_3d(df, **pltkwds)
if __name__ == '__main__':
from pyuvvis.data import aunps_glass, solvent_evap
import numpy as np
import matplotlib.pyplot as plt
ts = solvent_evap()#.as_interval('s').as_iunit('r')
cd = Corr2d.from_spectra(ts)
cd.center()
cd.plot(fill=False, title="Blank sideplots", grid=False)
plt.show()
# cd.scale()
# cd.scale(False)
# cd.scale(alpha=0.5)
# ax1,ax2,ax3, ax4 = cd.plot(cmap='bone',
# fill=True, cbar=True, contours=20, grid=True)
# ts.plot(ax=ax2, padding=0.01, title='', xlabel='', ylabel='Full',
# colormap='gray')
# ts.plot(ax=ax3, colormap='jet', padding=0.01, title='', xlabel='', ylabel='Full')
Df dimensions were: %i,%i' % (s0, s1))
### IMPLEMENT TEST FOR ANTI-SYMMETRY, NOT SURE HOW
pltkwds['zlabel'] = pltkwds.pop('zlabel', 'Asynchronicity')
pltkwds['title_def'] = 'Asynchronous Spectrum'
corr_3d(df, **pltkwds)
if __name__ == '__main__':
from pyuvvis.data import aunps_glass, solvent_evap
import numpy as np
import matplotlib.pyplot as plt
ts = solvent_evap() #.as_interval('s').as_iunit('r')
cd = Corr2d.from_spectra(ts)
cd.center()
cd.plot(fill=False, sideplots=False, title="Blank sideplots", grid=False)
plt.show()
# cd.scale()
# cd.scale(False)
# cd.scale(alpha=0.5)
# ax1,ax2,ax3, ax4 = cd.plot(cmap='bone',
# fill=True, cbar=True, contours=20, grid=True)
# ts.plot(ax=ax2, padding=0.01, title='', xlabel='', ylabel='Full',
# colormap='gray')
# ts.plot(ax=ax3, colormap='jet', padding=0.01, title='', xlabel='', ylabel='Full')
#ts=TimeSpectra(abs(np.random.randn(300,30)),
## columns=testdates,
#index=spec,
#name='ts1')
#print ts.list_varunits()
#print ts.list_specunits()
###t2=TimeSpectra(abs(np.random.randn(300,30)),
###columns=testdates2,
###index=spec,
###name='ts2')
import matplotlib.pyplot as plt
from pyuvvis.plotting import areaplot
ts = solvent_evap()
ts = ts.as_varunit('m')
from pandas import DataFrame
df = DataFrame(np.random.randn(50,50), index=np.linspace(0,50,50))
# ts.nearby[900:]
ts.nearby[[1200,1400]]
ts.iloc[:, 2:4.4].columns
ts._frame.iloc[:, 2:4.4].columns
# ts = aunps_glass()
print ts.ix[1505.0:1500.0]
#ts.loc[:, 50.5, 520.0]
##area = ts.area()
##tf=ts[ts.columns[-1]]
#ts=TimeSpectra(abs(np.random.randn(300,30)),
## columns=testdates,
#index=spec,
#name='ts1')
#print ts.list_varunits()
#print ts.list_specunits()
###t2=TimeSpectra(abs(np.random.randn(300,30)),
###columns=testdates2,
###index=spec,
###name='ts2')
import matplotlib.pyplot as plt
from pyuvvis.plotting import areaplot
ts = solvent_evap()
ts = ts.as_varunit('m')
from pandas import DataFrame
df = DataFrame(np.random.randn(50, 50), index=np.linspace(0, 50, 50))
# ts.nearby[900:]
ts.nearby[[1200, 1400]]
ts.iloc[:, 2:4.4].columns
ts._frame.iloc[:, 2:4.4].columns
# ts = aunps_glass()
print ts.ix[1505.0:1500.0]
#ts.loc[:, 50.5, 520.0]
##area = ts.area()
##tf=ts[ts.columns[-1]]
