"\n",
)
return "".join(outline) + "\n" + self._df.__union__()
#### TESTING ###
if __name__ == "__main__":
### 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
spec = SpecIndex([400.0, 500.0, 600.0])
testdates = date_range(start="3/3/12", periods=3, freq="h")
ts = TimeSpectra(abs(randn(3, 3)), columns=testdates, index=spec, timeunit="s", baseline=[1.0, 2.0, 3.0])
range_timeplot(ts)
ts.a = 50
ts.b = "as"
ts.iunit = "t"
ts.list_attr(dfattr=False, methods=False, types=True)
ts.as_iunit("a")
x = ts.as_iunit("a")
# ts.as_interval()
# spec_surface3d(ts) ##Not working because of axis format problem
# plt.show()
# ts.rank(use_base=True)
x = ts.dumps()
ts = mloads(x)
def quad_plot(ts, *plotargs, **plotkwds):
""" Output a matplotlib figure with full spectra, absorbance, area and
stripchart. Figure should be plotly convertable through py.iplot_mpl(fig)
assuming one is signed in to plotly through py.sign_in(user, apikey).
Parameters
-----------
title : str
Title of the overall figure
striplegend : bool (False)
Add a legend to the strip chart
colormap : string ('jet')
Colormap applied to full and absorbance spectra.
'Jet' is applid to strip chart regardless.
tight_layout: bool (False)
Calls mpl.fig.tight_layout()
"""
title = plotkwds.pop('title', '')
tight_layout = plotkwds.pop('tight_layout', False)
f, axes = put.splot(2,2, fig=True, figsize=(8,8))
f.suptitle(title, fontsize=20)
if tight_layout:
f.tight_layout()
cmap = plotkwds.pop('colormap', 'jet')
strip_cmap = 'spectral'
striplegend = plotkwds.pop('striplegend', False)
specplot(ts, *plotargs,
ax=axes[0],
title='Spectra',
colormap = cmap,
fig=f, #for colorbar
**plotkwds)
range_timeplot(ts.wavelength_slices(8),
ax=axes[1],
legend=False,
colormap = strip_cmap,
title='Spectral Slices',
**plotkwds)
normplot(ts, *plotargs,
ax=axes[2],
colormap=cmap,
title='Normalized',
**plotkwds)
areaplot(ts, *plotargs,
ax=axes[3],
title='Area',
fig=f,
**plotkwds)
# Custom legend to strip chart (http://matplotlib.org/users/legend_guide.html#multicolumn-legend)
if striplegend:
axes[1].legend(loc='lower center',
ncol=4,
fontsize=5,
# mode='expand',
bbox_to_anchor=(0.5,-0.1))
for a in (axes[1], axes[3]):
a.yaxis.tick_right()
a.yaxis.set_label_position("right")
# Remove y-axis of area/stripchart
put.hide_axis(axes[0], axis='x')
put.hide_axis(axes[1], axis='x')
#axes[1].get_yaxis().set_ticklabels([])#set_visible(False)
#axes[3].get_yaxis().set_ticklabels([])
#axes[0].get_xaxis().set_ticklabels([])
#axes[1].get_xaxis().set_ticklabels([])
return f
def quad_plot(ts, *plotargs, **plotkwds):
""" Output a matplotlib figure with full spectra, absorbance, area and
stripchart. Figure should be plotly convertable through py.iplot_mpl(fig)
assuming one is signed in to plotly through py.sign_in(user, apikey).
Parameters
-----------
title : str
Title of the overall figure
striplegend : bool (False)
Add a legend to the strip chart
colormap : string ('jet')
Colormap applied to full and absorbance spectra.
'Jet' is applid to strip chart regardless.
tight_layout: bool (False)
Calls mpl.fig.tight_layout()
"""
title = plotkwds.pop('title', '')
tight_layout = plotkwds.pop('tight_layout', False)
f, axes = put.splot(2, 2, fig=True, figsize=(8, 8))
f.suptitle(title, fontsize=20)
if tight_layout:
f.tight_layout()
cmap = plotkwds.pop('colormap', 'jet')
strip_cmap = 'spectral'
striplegend = plotkwds.pop('striplegend', False)
ts.plot(
*plotargs,
ax=axes[0],
title='Spectra',
colormap=cmap,
fig=f, #for colorbar
**plotkwds)
range_timeplot(ts.wavelength_slices(8),
ax=axes[1],
legend=False,
colormap=strip_cmap,
title='Spectral Slices',
**plotkwds)
ts.plot(*plotargs,
iunit='r',
ax=axes[2],
colormap=cmap,
title='Normalized',
**plotkwds)
areaplot(ts, *plotargs, ax=axes[3], title='Area', fig=f, **plotkwds)
# Custom legend to strip chart (http://matplotlib.org/users/legend_guide.html#multicolumn-legend)
if striplegend:
axes[1].legend(
loc='lower center',
ncol=4,
fontsize=5,
# mode='expand',
bbox_to_anchor=(0.5, -0.1))
for a in (axes[1], axes[3]):
a.yaxis.tick_right()
a.yaxis.set_label_position("right")
# Remove y-axis of area/stripchart
put.hide_axis(axes[0], axis='x')
put.hide_axis(axes[1], axis='x')
#axes[1].get_yaxis().set_ticklabels([])#set_visible(False)
#axes[3].get_yaxis().set_ticklabels([])
#axes[0].get_xaxis().set_ticklabels([])
#axes[1].get_xaxis().set_ticklabels([])
return f
