def plot(self, show=True, zlabel='Counts/pixel', subplot=(1, 1, 1)):
"""Plot the image.
This is using aplpy to render the image.
Warning
-------
We have to figure out the subplot issue, here. I put in a horrible
hack to recover the previous behavior when there's only one
subplot.
"""
import aplpy
with context_no_grids():
if subplot == (1, 1, 1):
fig = aplpy.FITSFigure(self.hdu_list[0], figure=plt.figure())
else:
fig = aplpy.FITSFigure(self.hdu_list[0],
figure=plt.figure(
0,
figsize=(10 * subplot[1],
10 * subplot[0])),
subplot=subplot)
fig.add_grid()
fig.show_colorscale(cmap='afmhot', vmin=self.vmin, vmax=self.vmax)
fig.add_colorbar()
fig.colorbar.set_axis_label_text(zlabel)
if show:
plt.show()
return fig
def plot_polarization_degree(self, show=True):
"""
"""
import aplpy
if self.x_img is None:
self.x_img = xFITSImage(self.xmap_file_path, build_cdf=False)
if self.y_img is None:
self.y_img = xFITSImage(self.ymap_file_path, build_cdf=False)
_data = numpy.sqrt(self.x_data ** 2 + self.y_data ** 2)
hdu_list = [self.x_img.hdu_list[0].copy()]
hdu_list[0].data = _data
with context_no_grids():
fig = aplpy.FITSFigure(hdu_list[0], figure=plt.figure())
fig.add_grid()
fig.show_colorscale(cmap="afmhot", vmin=None, vmax=None)
fig.add_colorbar()
fig.colorbar.set_axis_label_text("Polarization degree")
if show:
plt.show()
return fig
def plot(self, show=True, zlabel='Counts/pixel', subplot=(1, 1, 1)):
"""Plot the image.
This is using aplpy to render the image.
Warning
-------
We have to figure out the subplot issue, here. I put in a horrible
hack to recover the previous behavior when there's only one
subplot.
"""
import aplpy
with context_no_grids():
if subplot == (1, 1, 1):
fig = aplpy.FITSFigure(self.hdu_list[0], figure=plt.figure())
else:
fig = aplpy.FITSFigure(self.hdu_list[0], figure=plt.figure(0,figsize=(10*subplot[1], 10*subplot[0])), subplot=subplot)
fig.add_grid()
fig.show_colorscale(cmap = 'afmhot', vmin=self.vmin, vmax=self.vmax)
fig.add_colorbar()
fig.colorbar.set_axis_label_text(zlabel)
if show:
plt.show()
return fig