qa.qautils¶
Quality analysis user interface.
Functions
| CursorTool(component, *args, **kwds) | Factory function returning either a CursorTool1D or CursorTool2D instance |
| Trait(*value_type, **metadata) | Creates a trait definition. |
| approxinfos(infodict) | |
| evaluate_limits(image) | Evaluate lmits on an image to remove row and cols containing peaks. |
| evaluate_stretching_high(image[, lower_max]) | Evaluate stretching higher bound. |
| gray(range, **traits) | Generator function for the ‘gray’ colormap. |
| remove_peaks(arr[, threshold]) | Return start and stop indexes excluding peaks. |
| stretching_high_cum(image) | Compute stretching high value using cumulative function. |
| stretching_high_hist(image[, dim]) | Compute stretching high value using histograms. |
| where | where(condition, [x, y]) |
Classes
| Action | An action on a menu bar in a Traits UI window or panel. |
| ArrayPlotData(*data, **kw) | A PlotData implementation class that handles a list of Numpy arrays |
| AvgCutImageAnalysis(image, direction[, ...]) | Show results for a image and its one direction average plot |
| BaseCursorTool(**kwtraits[, component]) | Abstract base class for CursorTool objects |
| BaseImageAnalysis(image[, ulbasepos, ...]) | Base class to show image Analysis results |
| BaseQAMouseTool([scene]) | Base mouse mode for Quality Analysis operations. |
| BaseQATool(mainwin) | Base controller for Quality Analysis operations and results showing. |
| Bool(**metadata[, default_value]) | Defines a trait whose value must be a Python boolean using a C-level |
| Button(**metadata[, label, image, style, ...]) | Defines a trait whose UI editor is a button. |
| ColorBar(*args, **kw) | A color bar for a color-mapped plot. |
| ComponentEditor(*args, **traits) | wxPython editor factory for Enable components. |
| CursorImageAnalysis(image[, ulbasepos, ...]) | Show image analysis results and allow user to select point for cuts |
| CutsImageAnalysis(image[, ulbasepos, ...]) | Show results for a image and its two directions’ plots |
| DataRange1D(*datasources, **kwtraits) | Represents a 1-D data range. |
| Enum(*args, **metadata) | Defines a trait whose value must be one of a specified set of values |
| Float(**metadata[, default_value]) | Defines a trait whose value must be a Python float using a C-level fast |
| Group(*values, **traits) | Represents a grouping of items in a user interface view. |
| HGroup(*values, **traits) | A group whose items are laid out horizontally. |
| Handler | Provides access to and control over the run-time workings of a |
| HandlerWithReset | |
| HasStrictTraits | This class guarantees that any object attribute that does not have an explicit or wildcard trait definition results in an exception. |
| HasTraits | Enables any Python class derived from it to have trait atttributes. |
| Info | |
| Infos | |
| Instance(**metadata[, klass, factory, args, ...]) | Defines a trait whose value must be an instance of a specified class, |
| Item(**traits[, value]) | An element in a Traits-based user interface. |
| LinearMapper | Maps a 1-D data space to and from screen space by specifying a range in |
| List(**metadata[, trait, value, minlen, ...]) | Defines a trait whose value must be a list whose items are of the |
| LocalizationError | |
| NoLimitsZoomTool(*args, **kw[, component]) | Chaco ZoomTool withouth limits to zoom factors |
| ObjectColumn | A column for editing objects. |
| OnlyInfoAnalysis(image[, ulbasepos]) | |
| PanTool(**kwtraits[, component]) | A tool that enables the user to pan a plot by clicking a mouse |
| Plot(**kwtraits[, data]) | Represents a correlated set of data, renderers, and axes in a single screen region. |
| SpectralImageAnalysis(time_image[, ...]) | Show results of spectra analysis |
| Str(**metadata[, default_value]) | Defines a trait whose value must be a Python string using a C-level |
| TableEditor | Editor factory for table editors. |
| Tuple(*types, **metadata) | Defines a trait whose value must be a tuple of specified trait types |
| TupleEditor | Editor factory for tuple editors. |
| VGroup(*values, **traits) | A group whose items are laid out vertically. |
| VPlotContainer(*components, **traits) | A plot container that stacks plot components vertically. |
| View(*values, **traits) | A Traits-based user interface for one or more objects. |
| ZoomTool | Selects a range along the index or value axis. |
- class qa.qautils.AvgCutImageAnalysis(image, direction, ulbasepos=(0, 0), oversampling_factor=1.0)¶
Show results for a image and its one direction average plot
Input : - image
- direction: direction for cut. It must be in [‘x’, ‘y’]
- cut_zoom_tool¶
- alias of SimpleZoom
- extract_cut(image, direction)¶
extract cut in direction
Input : - image: starting 2d array
- direction: direction for cut
Output : - cut: cut in selected direction averaging in the other one
- reset()¶
- Reset all user modifications
- reset_cut_zoom()¶
- class qa.qautils.BaseImageAnalysis(image, ulbasepos=(0, 0), oversampling_factor=1.0)¶
Base class to show image Analysis results
Input : - image: a 2x2 numpy.ndarray representing image to analyze
- ulbasepos: a tuple (xpos, ypos) representing position of uppler-left corner into raster band
- reset()¶
- Reset all user modifications
- reset_zoom()¶
- zoom_tool¶
- alias of SimpleZoom
- class qa.qautils.BaseQAMouseTool(scene=None)¶
- Base mouse mode for Quality Analysis operations.
- class qa.qautils.BaseQATool(mainwin)¶
Base controller for Quality Analysis operations and results showing.
- analysis(scene, selected_area)¶
- Perform analysis
- analysis_postrun()¶
- analysis_prerun()¶
- check_areadim(selected_area, maxarea=3000000, mindim=10)¶
Check if selected area is significant and not too large
Parameters : - selected_area:
- maxarea: max selectable area (height*width)
- mindim: minimum for single dimensions (width or height)
- reset()¶
- Reset all user modifications
- class qa.qautils.CursorImageAnalysis(image, ulbasepos=(0, 0), oversampling_factor=1.0)¶
Show image analysis results and allow user to select point for cuts
- reset()¶
- Reset all user modifications
- class qa.qautils.CutsImageAnalysis(image, ulbasepos=(0, 0), oversampling_factor=1.0)¶
Show results for a image and its two directions’ plots
- change_azcut_orientation(vertical)¶
- draw_cuts(rg_cut, az_cut)¶
Draw range and azimuth cuts.
Draw range and azimuth cuts after removing leading and trailing zeros, which would raise exceptions in log scale.
Input : - rg_cut: 1D array in range direction
- az_cut: 1D array in azimuth direction
- extract_cuts(image, row, col)¶
extract range and azimuth cuts
Input : - image: starting 2d array
- row: row number for range cut
- col: col number for azimuth cut
Output : - rg_cut: 1D array in range direction
- az_cut: 1D array in azimuth direction
- reset()¶
- Reset all user modifications
- class qa.qautils.Info¶
- class qa.qautils.LocalizationError¶
- estimate_error()¶
- init_localiz_error(measured_abs_pos, cmapper, pixel_spacings, fdc_target)¶
Initialize class for localization error.
Parameters : - measured_abs_pos: point measured pos calculated on image point
- cmapper: coordinate mapper
- pixel_spacings: rg and az pixel spacings
- fdc_target: doppler centroid evaluated in the target position
- reset_user_inputs(default_values=(0, 0, 0))¶
- class qa.qautils.OnlyInfoAnalysis(image, ulbasepos=(0, 0))¶
- reset()¶
- Reset all user modifications
- update_infos(info_dict)¶
- class qa.qautils.SpectralImageAnalysis(time_image, ulbasepos=(0, 0), oversampling_factor=1.0, datasetname=None)¶
Show results of spectra analysis
- reset()¶
- Reset all user modifications
- trait_view(parent=None)¶
- qa.qautils.approxinfos(infodict)¶
- qa.qautils.evaluate_limits(image)¶
Evaluate lmits on an image to remove row and cols containing peaks.
Peaks are evaluated on 1d arrays obtained as 1d means of starting image
- qa.qautils.evaluate_stretching_high(image, lower_max=None)¶
Evaluate stretching higher bound.
Parameters : - image: image to analyze to evaluate stretching high
- lower_max: the lower value to assign to stretching max
- qa.qautils.remove_peaks(arr, threshold=0.80000000000000004)¶
Return start and stop indexes excluding peaks.
Evaluate start and stop indexes to remove leading and trailing peaks from a 1D array
- qa.qautils.stretching_high_cum(image)¶
Compute stretching high value using cumulative function.
Stretching max value is the maximum of a 2d subarray obtained removing peaks from starting image. Peaks are removed from 1d arrays obtained as 1d means of starting image
- qa.qautils.stretching_high_hist(image, dim=100)¶
Compute stretching high value using histograms.
Stretching max value is the value which limits the 97% of total area in cumulative function
