def __init__(self, data_np=None, metadata=None, logger=None, name=None):
Callback.Callbacks.__init__(self)
if logger is not None:
self.logger = logger
else:
self.logger = logging.Logger('BaseImage')
if data_np is None:
data_np = numpy.zeros((1, 1))
self._data = data_np
self.metadata = {}
if metadata:
self.update_metadata(metadata)
self.order = ''
self.name = name
# make sure an image has these attributes
# TODO: this maybe should have a unique random string or something
# but we'd have to fix a lot of code that is currently checking for
# None
self.metadata.setdefault('name', None)
self._set_minmax()
self.autocuts = AutoCuts.Histogram(self.logger)
# For callbacks
for name in ('modified', ):
self.enable_callback(name)
def __init__(self,
data_np=None,
metadata=None,
logger=None,
order=None,
name=None):
ViewerObjectBase.__init__(self,
logger=logger,
metadata=metadata,
name=name)
if data_np is None:
data_np = np.zeros((1, 1))
self._data = data_np
self.order = ''
self.name = name
# For navigating multidimensional data
self.naxispath = []
self.revnaxis = []
self._set_minmax()
self._calc_order(order)
self.autocuts = AutoCuts.Histogram(self.logger)
def __init__(self, data_np=None, metadata=None, logger=None, name=None):
ViewerObjectBase.__init__(self, logger=logger, metadata=metadata,
name=name)
if data_np is None:
data_np = numpy.zeros((1, 1))
self._data = data_np
self.order = ''
self.name = name
self._set_minmax()
self.autocuts = AutoCuts.Histogram(self.logger)
def __init__(self, fv, fitsimage):
# superclass defines some variables for us, like logger
super(Histogram, self).__init__(fv, fitsimage)
self.layertag = 'histogram-canvas'
self.histtag = None
# If True, limits X axis to lo/hi cut levels
self.xlimbycuts = True
self._split_sizes = [400, 500]
# get Histogram preferences
prefs = self.fv.get_preferences()
self.settings = prefs.create_category('plugin_Histogram')
self.settings.add_defaults(draw_then_move=True, num_bins=2048,
hist_color='aquamarine', show_stats=True,
maxdigits=7)
self.settings.load(onError='silent')
# Set up histogram control parameters
self.histcolor = self.settings.get('hist_color', 'aquamarine')
self.numbins = self.settings.get('num_bins', 2048)
self.autocuts = AutoCuts.Histogram(self.logger)
# for formatting statistics line
self.show_stats = self.settings.get('show_stats', True)
maxdigits = self.settings.get('maxdigits', 7)
self.fmt_cell = '{:< %d.%dg}' % (maxdigits - 1, maxdigits // 2)
self.dc = self.fv.get_draw_classes()
canvas = self.dc.DrawingCanvas()
canvas.enable_draw(True)
canvas.enable_edit(True)
canvas.set_drawtype('rectangle', color='cyan', linestyle='dash',
drawdims=True)
canvas.set_callback('draw-event', self.draw_cb)
canvas.set_callback('edit-event', self.edit_cb)
canvas.add_draw_mode('move', down=self.drag,
move=self.drag, up=self.update)
canvas.register_for_cursor_drawing(self.fitsimage)
canvas.set_surface(self.fitsimage)
canvas.set_draw_mode('draw')
self.canvas = canvas
fitssettings = fitsimage.get_settings()
for name in ['cuts']:
fitssettings.get_setting(name).add_callback(
'set', self.cutset_ext_cb, fitsimage)
self.gui_up = False
def pre_init(self, fitsfile=os.path.join(script_dir, "test.fits")):
#App design
self.format_string = formats
self.interface_file = os.path.join(script_dir,
"WebbFITSViewer_interface.yaml")
#Tunable settings
self.pan_scale = 0.05
self.initial_zoom = 1.0
self.zoom_speed = 0.02
#initialize the Ginga backend
self.logger = log.get_logger("ginga",
level=20,
log_file="/tmp/ginga.log")
self.autocuts = AutoCuts.Histogram(self.logger)
self.selected_data = None
self.box_corners = []
self.pre_fitsfile = fitsfile
def __init__(self, data_np=None, metadata=None, logger=None):
Callback.Callbacks.__init__(self)
if logger != None:
self.logger = logger
else:
self.logger = logging.Logger('BaseImage')
if data_np == None:
data_np = numpy.zeros((1, 1))
self._data = data_np
self.metadata = {}
if metadata:
self.update_metadata(metadata)
self.order = ''
self._set_minmax()
self.autocuts = AutoCuts.Histogram(self.logger)
# For callbacks
for name in ('modified', ):
self.enable_callback(name)
