pygmi.raster.anaglyph

pygmi.raster.anaglyph#

Anaglyph routine.

This module allows for the creation of anaglyphs - which can then be used for feature detection and interpretation.

Classes#

PlotAnaglyph

Anaglyph GUI Graph Window.

Functions#

sunshade(data, *[, azim, elev, alpha, cell, cmap])

Perform Sunshading on data.

anaglyph(red, blue[, atype])

Colour Anaglyph.

rot_and_clean(x, y, z[, rotang, rtype])

Rotate and clean rotated data for 2d view.

Module Contents#

class pygmi.raster.anaglyph.PlotAnaglyph(parent=None)#

Bases: pygmi.misc.ContextModule

Anaglyph GUI Graph Window.

Parameters:

parent – Reference to the parent routine. The default is None.

change_all()#

Update from all combos.

change_colors()#

Update colour bar.

change_atype()#

Update anaglyph type.

change_contours()#

Update contours.

change_image()#

Change Image, setting defaults.

run()#

Entry point into the routine, used to run context menu item.

update_contours(data1, scale=7, rotang=10)#

Update the contour plot.

Parameters:

  • data1 (pygmi.raster.datatypes.Data) – raster dataset to be used in contouring.

  • scale (float) – Scale. The default is 7.

  • rotang (float) – Rotation in degrees. The default is 10.

update_raster(data1, *, scale=7, rotang=10, atype='dubois', cmap=colormaps['jet'], shade=False)#

Update the raster plot.

Parameters:

  • data1 (pygmi.raster.datatypes.Data) – Raster dataset to be used in contouring

  • scale (float) – Scale. The default is 7.

  • rotang (float) – Rotation in degrees. The default is 10.

  • atype (str) – Anaglyph type. The default is ‘dubois’.

  • cmap (matplotlib.colors.LinearSegmentedColormap) – Matplotlib colormap. The default is jet.

  • shade (bool) – Option to choose sunshading. The default is False.

update_colors(doshade=False, cmap=colormaps['jet'], atype='dubois')#

Update colors.

Parameters:

  • doshade (bool) – Option to choose sunshading. The default is False.

  • cmap (matplotlib.colors.LinearSegmentedColormap) – Matplotlib colormap. The default is jet.

  • atype (str) – Anaglyph type. The default is ‘dubois’.

update_atype(atype='dubois')#

Update anaglyph type.

Parameters:

atype (str) – Anaglyph type. The default is ‘dubois’.

pygmi.raster.anaglyph.sunshade(data, *, azim=-np.pi / 4.0, elev=np.pi / 4.0, alpha=1, cell=100, cmap=colormaps['terrain'])#

Perform Sunshading on data.

Parameters:

  • data (numpy.ma.MaskedArray) – input MxN data to be imaged.

  • azim (float) – Sun azimuth. The default is -np.pi/4..

  • elev (float) – Sun elevation. The default is np.pi/4..

  • alpha (float) – how much incident light is reflected (0 to 1). The default is 1.

  • cell (float) – between 1 and 100 - controls sunshade detail. The default is 100.

  • cmap (matplotlib.colors.LinearSegmentedColormap) – Matplotlib colormap.

Returns:

Output colour mapped array (MxNx4).

Return type:

ndarray

pygmi.raster.anaglyph.anaglyph(red, blue, atype='dubois')#

Colour Anaglyph.

Parameters:

  • red (numpy.typing.NDArray) – Dataset for red channel.

  • blue (numpy.typing.NDArray) – Dataset for blue channel.

  • atype (str) – Anaglyph type. The default is ‘dubois’.

Returns:

Output dataset.

Return type:

ndarray

pygmi.raster.anaglyph.rot_and_clean(x, y, z, rotang=5, rtype='red')#

Rotate and clean rotated data for 2d view.

Parameters:

  • x (numpy.typing.NDArray) – X coordinates.

  • y (numpy.typing.NDArray) – Y coordinates.

  • z (numpy.typing.NDArray) – Z coordinates (or data values).

  • rotang (float) – Rotation angle. The default is 5.

  • rtype (str) – Rotation type. The default is ‘red’.

Returns:

Output data.

Return type:

ndarray