defdap.base module¶

class defdap.base.Map[source]¶

Bases: object

Base class for a map. Contains common functionality for all maps.

grainList¶

List of grains.

Type:: list of defdap.base.Grain

currGrainId¶

ID of last selected grain.

Type:: int

property xDim¶

property yDim¶

crop(map_data, **kwargs)[source]¶

checkGrainsDetected(raiseExc=True)[source]¶

Check if grains have been detected.

Parameters:: raiseExc (bool) – If True then an exception is raised if grains have not been detected.
Returns:: True if grains detected, False otherwise.
Return type:: bool
Raises:: Exception – If grains not detected.

plotGrainNumbers(dilateBoundaries=False, ax=None, **kwargs)[source]¶

Plot a map with grains numbered.

Parameters:

dilateBoundaries (bool, optional) – Set to true to dilate boundaries.
ax (matplotlib.axes.Axes, optional) – axis to plot on, if not provided the current active axis is used.
kwargs (dict, optional) – Keyword arguments passed to defdap.plotting.MapPlot.addGrainNumbers()

Returns:

Return type:

defdap.plotting.MapPlot

locateGrainID(clickEvent=None, displaySelected=False, **kwargs)[source]¶

Interactive plot for identifying grains.

Parameters:

clickEvent (optional) – Click handler to use.
displaySelected (bool, optional) – If true, plot slip traces for grain selected by click.
kwargs (dict, optional) – Keyword arguments passed to defdap.base.Map.plotDefault()

clickGrainID(event, plot, displaySelected)[source]¶

Event handler to capture clicking on a map.

Parameters:

event – Click event.
plot (defdap.plotting.MapPlot) – Plot to capture clicks from.
displaySelected (bool) – If true, plot the selected grain alone in pop-out window.

drawLineProfile(**kwargs)[source]¶

Interactive plot for drawing a line profile of data.

Parameters:: kwargs (dict, optional) – Keyword arguments passed to defdap.base.Map.plotDefault()

calcLineProfile(plot, startEnd, **kwargs)[source]¶

Calculate and plot the line profile.

Parameters:

plot (defdap.plotting.MapPlot) – Plot to calculate the line profile for.
startEnd (array_like) – Selected points (x0, y0, x1, y1).
kwargs (dict, optional) – Keyword arguments passed to matplotlib.pyplot.plot()

setHomogPoint(map_name=None, points=None, **kwargs)[source]¶

Interactive tool to set homologous points. Right-click on a point then click ‘save point’ to append to the homologous points list.

Parameters:

map_name (str, optional) – Map data to plot for selecting points.
points (numpy.ndarray, optional) – Array of (x,y) homologous points to set explicitly.
kwargs (dict, optional) – Keyword arguments passed to defdap.base.Map.plotHomog()

clickHomog(event, plot)[source]¶

Event handler for capturing position when clicking on a map.

Parameters:

event – Click event.
plot (defdap.plotting.MapPlot) – Plot to monitor.

keyHomog(event, plot)[source]¶

Event handler for moving position using keyboard after clicking on a map.

Parameters:

event – Keypress event.
plot (defdap.plotting.MapPlot) – Plot to monitor.

clickSaveHomog(event, plot, binning)[source]¶

Append the selected point on the map to homogPoints.

Parameters:

event – Button click event.
plot (defdap.plotting.MapPlot) – Plot to monitor.
binning (int, optional) – Binning applied to image, if applicable.

updateHomogPoint(homogID, newPoint=None, delta=None)[source]¶

Update a homog point by either over writing it with a new point or incrementing the current values.

Parameters:

homogID (int) – ID (place in list) of point to update or -1 for all.
newPoint (tuple, optional) – (x, y) coordinates of new point.
delta (tuple, optional) – Increments to current point (dx, dy).

buildNeighbourNetwork()[source]¶: Construct a list of neighbours

displayNeighbours(**kwargs)[source]¶

clickGrainNeighbours(event, plot)[source]¶

Event handler to capture clicking and show neighbours of selected grain.

Parameters:

event – Click event.
plot (defdap.plotting.MapPlot) – Plot to monitor.

property proxigram¶

Proxigram for a map.

Returns:: Distance from a grain boundary at each point in map.
Return type:: numpy.ndarray

calcProxigram(numTrials=500, forceCalc=True)[source]¶

Calculate distance from a grain boundary at each point in map.

Parameters:

numTrials (int, optional) – number of trials.
forceCalc (bool, optional) – Force calculation even is proxigramArr is populated.

plot_map(map_name, component=None, **kwargs)[source]¶

Plot a map from the DIC data.

Parameters:

map_name (str) – Map data name to plot i.e. e, max_shear, euler_angle, orientation.
component (int or tuple of int or str) – Component of the map data to plot. This is either the tensor component (int or tuple of ints) or the name of a calculation to be applied e.g. ‘norm’, ‘all_euler’ or ‘IPF_x’.
kwargs – All arguments are passed to defdap.plotting.MapPlot.create().

Returns:

Plot containing map.

Return type:

defdap.plotting.MapPlot

calcGrainAv(mapData, grainIds=- 1)[source]¶

Calculate grain average of any DIC map data.

Parameters:

mapData (numpy.ndarray) – Array of map data to grain average. This must be cropped!
grainIds (list, optional) – grainIDs to perform operation on, set to -1 for all grains.

Returns:

Array containing the grain average values.

Return type:

numpy.ndarray

grainDataToMapData(grainData, grainIds=- 1, bg=0)[source]¶

Create a map array with each grain filled with the given values.

Parameters:

grainData (list or numpy.ndarray) – Grain values. This can be a single value per grain or RGB values.
grainIds (list of int or int, optional) – IDs of grains to plot for. Use -1 for all grains in the map.
bg (int or real, optional) – Value to fill the background with.

Returns:

grainMap – Array filled with grain data values

Return type:

numpy.ndarray

plotGrainDataMap(mapData=None, grainData=None, grainIds=- 1, bg=0, **kwargs)[source]¶

Plot a grain map with grains coloured by given data. The data can be provided as a list of values per grain or as a map which a grain average will be applied.

Parameters:

mapData (numpy.ndarray, optional) – Array of map data. This must be cropped! Either mapData or grainData must be supplied.
grainData (list or np.array, optional) – Grain values. This an be a single value per grain or RGB values. You must supply either mapData or grainData.
grainIds (list of int or int, optional) – IDs of grains to plot for. Use -1 for all grains in the map.
bg (int or real, optional) – Value to fill the background with.
kwargs (dict, optional) – Keyword arguments passed to defdap.plotting.MapPlot.create()

Returns:

plot – Plot object created

Return type:

defdap.plotting.MapPlot

plotGrainDataIPF(direction, mapData=None, grainData=None, grainIds=- 1, **kwargs)[source]¶

Plot IPF of grain reference (average) orientations with points coloured by grain average values from map data.

Parameters:

direction (numpy.ndarray) – Vector of reference direction for the IPF.
mapData (numpy.ndarray) – Array of map data. This must be cropped! Either mapData or grainData must be supplied.
grainData (list or np.array, optional) – Grain values. This an be a single value per grain or RGB values. You must supply either mapData or grainData.
grainIds (list of int or int, optional) – IDs of grains to plot for. Use -1 for all grains in the map.
kwargs (dict, optional) – Keyword arguments passed to defdap.quat.Quat.plotIPF()

class defdap.base.Grain(grainID, ownerMap)[source]¶

Bases: object

Base class for a grain.

grainID¶

Type:: int

ownerMap¶

Type:: defdap.base.Map

coordList¶

Type:: list of tuples

property extremeCoords¶

Coordinates of the bounding box for a grain.

Returns:: minimum x, minimum y, maximum x, maximum y.
Return type:: int, int, int, int

centreCoords(centreType='box', grainCoords=True)[source]¶

Calculates the centre of the grain, either as the centre of the bounding box or the grains centre of mass.

Parameters:

centreType (str, optional, {'box', 'com'}) – Set how to calculate the centre. Either ‘box’ for centre of bounding box or ‘com’ for centre of mass. Default is ‘box’.
grainCoords (bool, optional) – If set True the centre is returned in the grain coordinates otherwise in the map coordinates. Defaults is grain.

Returns:

Coordinates of centre of grain.

Return type:

int, int

grainOutline(bg=nan, fg=0)[source]¶

Generate an array of the grain outline.

Parameters:

bg (int) – Value for points not within grain.
fg (int) – Value for points within grain.

Returns:

Bounding box for grain with nan outside the grain and given number within.

Return type:

numpy.ndarray

plotOutline(ax=None, plotScaleBar=False, **kwargs)[source]¶

Plot the outline of the grain.

Parameters:

ax (matplotlib.axes.Axes) – axis to plot on, if not provided the current active axis is used.
plotScaleBar (bool) – plots the scale bar on the grain if true.
kwargs (dict) – keyword arguments passed to defdap.plotting.GrainPlot.addMap()

Returns:

Return type:

defdap.plotting.GrainPlot

grainData(mapData)[source]¶

Extract this grains data from the given map data.

Parameters:: mapData (numpy.ndarray) – Array of map data. This must be cropped!
Returns:: Array containing this grains values from the given map data.
Return type:: numpy.ndarray

grainMapData(mapData=None, grainData=None, bg=nan)[source]¶

Extract a single grain map from the given map data.

Parameters:

mapData (numpy.ndarray) – Array of map data. This must be cropped! Either this or ‘grainData’ must be supplied and ‘grainData’ takes precedence.
grainData (numpy.ndarray) – Array of data at each point in the grain. Either this or ‘mapData’ must be supplied and ‘grainData’ takes precedence.
bg (various, optional) – Value to fill the background with. Must be same dtype as input array.

Returns:

Grain map extracted from given data.

Return type:

numpy.ndarray

grainMapDataCoarse(mapData=None, grainData=None, kernelSize=2, bg=nan)[source]¶

Create a coarsened data map of this grain only from the given map data. Data is coarsened using a kernel at each pixel in the grain using only data in this grain.

Parameters:

mapData (numpy.ndarray) – Array of map data. This must be cropped! Either this or ‘grainData’ must be supplied and ‘grainData’ takes precedence.
grainData (numpy.ndarray) – List of data at each point in the grain. Either this or ‘mapData’ must be supplied and ‘grainData’ takes precedence.
kernelSize (int, optional) – Size of kernel as the number of pixels to dilate by i.e 1 gives a 3x3 kernel.
bg (various, optional) – Value to fill the background with. Must be same dtype as input array.

Returns:

Map of this grains coarsened data.

Return type:

numpy.ndarray

plotGrainData(mapData=None, grainData=None, **kwargs)[source]¶

Plot a map of this grain from the given map data.

Parameters:

mapData (numpy.ndarray) – Array of map data. This must be cropped! Either this or ‘grainData’ must be supplied and ‘grainData’ takes precedence.
grainData (numpy.ndarray) – List of data at each point in the grain. Either this or ‘mapData’ must be supplied and ‘grainData’ takes precedence.
kwargs (dict, optional) – Keyword arguments passed to defdap.plotting.GrainPlot.create()