def __init__(self, *args): Qwt.QwtPlotItem.__init__(self, *args) self.__attributes = HistogramItem.Auto self.__data = Qwt.QwtIntervalData() self.__color = Qt.QColor() self.__reference = 0.0 self.setItemAttribute(Qwt.QwtPlotItem.AutoScale, True) self.setItemAttribute(Qwt.QwtPlotItem.Legend, True) self.setZ(20.0) self.cached_bar_width = 1 self.canvas_height = 2 self.canvas_width = 2 self.need_transform = False self.fl = [0.] self.fh = [0.] self.y = array([0.]) self.y0 = 0. self.i = [0] self.transform_slope = 1. self.transform_origin = 0. self.pixmaps = [QtGui.QPixmap()] self.yMap = None
def __init__(self, *args):
Qwt.QwtPlotItem.__init__(self, *args)
self.__attributes = HistogramItem.Auto
self.__data = Qwt.QwtIntervalData()
self.__color = Qt.QColor()
self.__reference = 0.0
self.setItemAttribute(Qwt.QwtPlotItem.AutoScale, True)
self.setItemAttribute(Qwt.QwtPlotItem.Legend, True)
self.setZ(20.0)
self.cached_bar_width = 1
self.canvas_height = 2
self.canvas_width = 2
self.need_transform = False
self.fl = [0.]
self.fh = [0.]
self.fc = ["0"] # center frequencies
self.y = array([0.])
self.y0 = 0.
self.i = [0]
self.transform_slope = 1.
self.transform_origin = 0.
self.pixmaps = [QtGui.QPixmap()]
self.maxLabelPixHWidth = 0
self.maxLabelPixVWidth = 0
self.pixHWidths = 0
self.pixVWidths = 0
self.pixHHeights = 0
self.pixVHeights = 0
self.Hpixmaps = [[QtGui.QPixmap(), QtGui.QPixmap()]]
self.Vpixmaps = [[QtGui.QPixmap(), QtGui.QPixmap()]]
self.yMap = Qwt.QwtScaleMap()
def plot_spectrum(self):
''' Plot the histogram of the spectrum '''
#self.__spectrum.set_demo_mode(True)
#print self.__spectrum
#logger.debug("{0:s}.plot_spectrum():".format(self.__class__.__name__))
xarr = []
yarr = []
ordvals = self.__spectrum.get_spectrum_ord_values()
x = 0
pos = -0.25
width = 0.5
numValues = len(self.__spectrum)
intervals = []
values = Qwt.QwtArrayDouble(numValues)
for (mass, p) in ordvals:
# Lower limit for pressure set in HistogramItem.baseline()
p = self.__barCurve.baseline(
) if p < self.__barCurve.baseline() else p
xarr.append(x)
yarr.append(p)
intervals.append(Qwt.QwtDoubleInterval(pos, pos + width))
values[x] = p
pos += (width + 0.5)
x += 1
self.__barCurve.setData(Qwt.QwtIntervalData(intervals, values))
self.clear_zoom_stack()
def __init__(self, *args):
Qwt.QwtPlotItem.__init__(self, *args)
self.__attributes = HistogramItem.Auto
self.__data = Qwt.QwtIntervalData()
self.__color = QColor()
self.__reference = 0.0
self.setItemAttribute(Qwt.QwtPlotItem.AutoScale, True)
self.setItemAttribute(Qwt.QwtPlotItem.Legend, True)
self.setZ(20.0)
def __init__(self, *args):
Qwt.QwtPlotItem.__init__(self, *args)
self.__attributes = HistogramItem.Auto
self.__data = Qwt.QwtIntervalData()
self.__color = QColor()
self.__reference = 0.0
self.setItemAttribute(Qwt.QwtPlotItem.AutoScale, True)
self.setItemAttribute(Qwt.QwtPlotItem.Legend, True)
self.setZ(20.0)
self.to_long = lambda x: x
architecture = platform.architecture()
if architecture[0].startswith(
'64') and architecture[1].lower().startswith('windows'):
self.to_long = lambda x: long(x)
def addHistPlotData(self, _plotName, _values, _intervals):
# print 'addHistPlotData'
# print '_values=',_values
# print '_intervals=',_intervals
# self.plotData[_plotName]=[array([],dtype=double),array([],dtype=double),False]
self.plotData[str(_plotName)] = [_intervals, _values, False, HISTOGRAM]
intervals = []
valLength = len(_values)
values = Qwt.QwtArrayDouble(valLength)
for i in range(valLength):
#width = _intervals[i+1]-_intervals[i]+2
intervals.append(
Qwt.QwtDoubleInterval(_intervals[i], _intervals[i + 1]))
#numpy automcatically adds extra element for edge
values[i] = _values[i]
self.plotHistData[_plotName].setData(
Qwt.QwtIntervalData(intervals, values))
def make():
demo = Qwt.QwtPlot()
demo.setCanvasBackground(Qt.Qt.white)
demo.setTitle("Histogram")
grid = Qwt.QwtPlotGrid()
grid.enableXMin(True)
grid.enableYMin(True)
grid.setMajPen(Qt.QPen(Qt.Qt.black, 0, Qt.Qt.DotLine))
grid.setMinPen(Qt.QPen(Qt.Qt.gray, 0, Qt.Qt.DotLine))
grid.attach(demo)
histogram = HistogramItem()
histogram.setColor(Qt.Qt.darkCyan)
numValues = 20
intervals = []
values = Qwt.QwtArrayDouble(numValues)
pos = 0.0
for i in range(numValues):
width = 5 + random.randint(0, 4)
value = random.randint(0, 99)
intervals.append(Qwt.QwtDoubleInterval(pos, pos + width))
values[i] = value
pos += width
histogram.setData(Qwt.QwtIntervalData(intervals, values))
histogram.attach(demo)
demo.setAxisScale(Qwt.QwtPlot.yLeft, 0.0, 100.0)
demo.setAxisScale(Qwt.QwtPlot.xBottom, 0.0, pos)
demo.replot()
demo.resize(600, 400)
demo.show()
return demo
