copy from acq4

pyqtgraph/Point.py

@@ -80,6 +80,12 @@ class Point(QtCore.QPointF):
     def __div__(self, a):
         return self._math_('__div__', a)
     
+    def __truediv__(self, a):
+        return self._math_('__truediv__', a)
+    
+    def __rtruediv__(self, a):
+        return self._math_('__rtruediv__', a)
+    
     def __rpow__(self, a):
         return self._math_('__rpow__', a)
     

pyqtgraph/SRTTransform.py

@@ -130,11 +130,14 @@ class SRTTransform(QtGui.QTransform):
         self._state['angle'] = angle
         self.update()
 
-    def __div__(self, t):
+    def __truediv__(self, t):
         """A / B  ==  B^-1 * A"""
         dt = t.inverted()[0] * self
         return SRTTransform(dt)
         
+    def __div__(self, t):
+        return self.__truediv__(t)
+        
     def __mul__(self, t):
         return SRTTransform(QtGui.QTransform.__mul__(self, t))
 

pyqtgraph/SRTTransform3D.py

@@ -123,7 +123,6 @@ class SRTTransform3D(pg.Transform3D):
         m = self.matrix().reshape(4,4)
         ## translation is 4th column
         self._state['pos'] = m[:3,3] 
-        
         ## scale is vector-length of first three columns
         scale = (m[:3,:3]**2).sum(axis=0)**0.5
         ## see whether there is an inversion
@@ -141,18 +140,30 @@ class SRTTransform3D(pg.Transform3D):
             print("Scale: %s" % str(scale))
             print("Original matrix: %s" % str(m))
             raise
-        eigIndex = np.argwhere(np.abs(evals-1) < 1e-7)
+        eigIndex = np.argwhere(np.abs(evals-1) < 1e-6)
         if len(eigIndex) < 1:
             print("eigenvalues: %s" % str(evals))
             print("eigenvectors: %s" % str(evecs))
             print("index: %s, %s" % (str(eigIndex), str(evals-1)))
             raise Exception("Could not determine rotation axis.")
-        axis = evecs[eigIndex[0,0]].real
+        axis = evecs[:,eigIndex[0,0]].real
         axis /= ((axis**2).sum())**0.5
         self._state['axis'] = axis
         
         ## trace(r) == 2 cos(angle) + 1, so:
-        self._state['angle'] = np.arccos((r.trace()-1)*0.5) * 180 / np.pi
+        cos = (r.trace()-1)*0.5  ## this only gets us abs(angle)
+        
+        ## The off-diagonal values can be used to correct the angle ambiguity, 
+        ## but we need to figure out which element to use:
+        axisInd = np.argmax(np.abs(axis))
+        rInd,sign = [((1,2), -1), ((0,2), 1), ((0,1), -1)][axisInd]
+        
+        ## Then we have r-r.T = sin(angle) * 2 * sign * axis[axisInd];
+        ## solve for sin(angle)
+        sin = (r-r.T)[rInd] / (2. * sign * axis[axisInd])
+        
+        ## finally, we get the complete angle from arctan(sin/cos)
+        self._state['angle'] = np.arctan2(sin, cos) * 180 / np.pi
         if self._state['angle'] == 0:
             self._state['axis'] = (0,0,1)
         

pyqtgraph/debug.py

@@ -28,6 +28,15 @@ def ftrace(func):
         return rv
     return w
 
+def warnOnException(func):
+    """Decorator which catches/ignores exceptions and prints a stack trace."""
+    def w(*args, **kwds):
+        try:
+            func(*args, **kwds)
+        except:
+            printExc('Ignored exception:')
+    return w
+
 def getExc(indent=4, prefix='|  '):
     tb = traceback.format_exc()
     lines = []

pyqtgraph/flowchart/library/Operators.py

@@ -24,7 +24,15 @@ class BinOpNode(Node):
         })
         
     def process(self, **args):
-        fn = getattr(args['A'], self.fn)
+        if isinstance(self.fn, tuple):
+            for name in self.fn:
+                try:
+                    fn = getattr(args['A'], name)
+                    break
+                except AttributeError:
+                    pass
+        else:
+            fn = getattr(args['A'], self.fn)
         out = fn(args['B'])
         if out is NotImplemented:
             raise Exception("Operation %s not implemented between %s and %s" % (fn, str(type(args['A'])), str(type(args['B']))))
@@ -60,5 +68,7 @@ class DivideNode(BinOpNode):
     """Returns A / B. Does not check input types."""
     nodeName = 'Divide'
     def __init__(self, name):
-        BinOpNode.__init__(self, name, '__div__')
+        # try truediv first, followed by div
+        BinOpNode.__init__(self, name, ('__truediv__', '__div__'))
+        
 

pyqtgraph/functions.py

@@ -264,6 +264,7 @@ def mkPen(*args, **kargs):
     color = kargs.get('color', None)
     width = kargs.get('width', 1)
     style = kargs.get('style', None)
+    dash = kargs.get('dash', None)
     cosmetic = kargs.get('cosmetic', True)
     hsv = kargs.get('hsv', None)
     
@@ -291,6 +292,8 @@ def mkPen(*args, **kargs):
     pen.setCosmetic(cosmetic)
     if style is not None:
         pen.setStyle(style)
+    if dash is not None:
+        pen.setDashPattern(dash)
     return pen
 
 def hsvColor(hue, sat=1.0, val=1.0, alpha=1.0):
@@ -1948,6 +1951,8 @@ def pseudoScatter(data, spacing=None, shuffle=True, bidir=False):
     s2 = spacing**2
     
     yvals = np.empty(len(data))
+    if len(data) == 0:
+        return yvals
     yvals[0] = 0
     for i in range(1,len(data)):
         x = data[i]     # current x value to be placed

pyqtgraph/graphicsItems/AxisItem.py

@@ -42,12 +42,18 @@ class AxisItem(GraphicsWidget):
             self.label.rotate(-90)
             
         self.style = {
-            'tickTextOffset': 3,  ## spacing between text and axis
+            'tickTextOffset': (5, 2),  ## (horizontal, vertical) spacing between text and axis 
             'tickTextWidth': 30,  ## space reserved for tick text
             'tickTextHeight': 18, 
             'autoExpandTextSpace': True,  ## automatically expand text space if needed
             'tickFont': None,
             'stopAxisAtTick': (False, False),  ## whether axis is drawn to edge of box or to last tick 
+            'textFillLimits': [  ## how much of the axis to fill up with tick text, maximally. 
+                (0, 0.8),    ## never fill more than 80% of the axis
+                (2, 0.6),    ## If we already have 2 ticks with text, fill no more than 60% of the axis
+                (4, 0.4),    ## If we already have 4 ticks with text, fill no more than 40% of the axis
+                (6, 0.2),    ## If we already have 6 ticks with text, fill no more than 20% of the axis
+                ]
         }
         
         self.textWidth = 30  ## Keeps track of maximum width / height of tick text 
@@ -209,14 +215,14 @@ class AxisItem(GraphicsWidget):
         ## to accomodate.
         if self.orientation in ['left', 'right']:
             mx = max(self.textWidth, x)
-            if mx > self.textWidth:
+            if mx > self.textWidth or mx < self.textWidth-10:
                 self.textWidth = mx
                 if self.style['autoExpandTextSpace'] is True:
                     self.setWidth()
                     #return True  ## size has changed
         else:
             mx = max(self.textHeight, x)
-            if mx > self.textHeight:
+            if mx > self.textHeight or mx < self.textHeight-10:
                 self.textHeight = mx
                 if self.style['autoExpandTextSpace'] is True:
                     self.setHeight()
@@ -236,7 +242,7 @@ class AxisItem(GraphicsWidget):
                 h = self.textHeight
             else:
                 h = self.style['tickTextHeight']
-            h += max(0, self.tickLength) + self.style['tickTextOffset']
+            h += max(0, self.tickLength) + self.style['tickTextOffset'][1]
             if self.label.isVisible():
                 h += self.label.boundingRect().height() * 0.8
         self.setMaximumHeight(h)
@@ -252,7 +258,7 @@ class AxisItem(GraphicsWidget):
                 w = self.textWidth
             else:
                 w = self.style['tickTextWidth']
-            w += max(0, self.tickLength) + self.style['tickTextOffset']
+            w += max(0, self.tickLength) + self.style['tickTextOffset'][0]
             if self.label.isVisible():
                 w += self.label.boundingRect().height() * 0.8  ## bounding rect is usually an overestimate
         self.setMaximumWidth(w)
@@ -430,7 +436,7 @@ class AxisItem(GraphicsWidget):
             return []
         
         ## decide optimal minor tick spacing in pixels (this is just aesthetics)
-        pixelSpacing = np.log(size+10) * 5
+        pixelSpacing = size / np.log(size)
         optimalTickCount = max(2., size / pixelSpacing)
         
         ## optimal minor tick spacing 
@@ -720,7 +726,7 @@ class AxisItem(GraphicsWidget):
 
         
         
-        textOffset = self.style['tickTextOffset']  ## spacing between axis and text
+        textOffset = self.style['tickTextOffset'][axis]  ## spacing between axis and text
         #if self.style['autoExpandTextSpace'] is True:
             #textWidth = self.textWidth
             #textHeight = self.textHeight
@@ -728,7 +734,7 @@ class AxisItem(GraphicsWidget):
             #textWidth = self.style['tickTextWidth'] ## space allocated for horizontal text
             #textHeight = self.style['tickTextHeight'] ## space allocated for horizontal text
             
-        
+        textSize2 = 0
         textRects = []
         textSpecs = []  ## list of draw
         for i in range(len(tickLevels)):
@@ -770,9 +776,16 @@ class AxisItem(GraphicsWidget):
                     textSize = np.sum([r.width() for r in textRects])
                     textSize2 = np.max([r.height() for r in textRects])
 
-                ## If the strings are too crowded, stop drawing text now
+                ## If the strings are too crowded, stop drawing text now.
+                ## We use three different crowding limits based on the number
+                ## of texts drawn so far.
                 textFillRatio = float(textSize) / lengthInPixels
-                if textFillRatio > 0.7:
+                finished = False
+                for nTexts, limit in self.style['textFillLimits']:
+                    if len(textSpecs) >= nTexts and textFillRatio >= limit:
+                        finished = True
+                        break
+                if finished:
                     break
             
             #spacing, values = tickLevels[best]

pyqtgraph/graphicsItems/GraphicsItem.py

@@ -533,6 +533,7 @@ class GraphicsItem(object):
     def viewTransformChanged(self):
         """
         Called whenever the transformation matrix of the view has changed.
+        (eg, the view range has changed or the view was resized)
         """
         pass
     

pyqtgraph/graphicsItems/PlotCurveItem.py

@@ -375,6 +375,7 @@ class PlotCurveItem(GraphicsObject):
                 return QtGui.QPainterPath()
         return self.path
 
+    @pg.debug.warnOnException  ## raising an exception here causes crash
     def paint(self, p, opt, widget):
         prof = debug.Profiler('PlotCurveItem.paint '+str(id(self)), disabled=True)
         if self.xData is None:

pyqtgraph/graphicsItems/PlotDataItem.py

@@ -84,24 +84,28 @@ class PlotDataItem(GraphicsObject):
         
         **Optimization keyword arguments:**
         
-            ============ =====================================================================
-            antialias    (bool) By default, antialiasing is disabled to improve performance.
-                         Note that in some cases (in particluar, when pxMode=True), points 
-                         will be rendered antialiased even if this is set to False.
-            decimate     (int) Sub-sample data by selecting every nth sample before plotting
-            onlyVisible  (bool) If True, only plot data that is visible within the X range of
-                         the containing ViewBox. This can improve performance when plotting
-                         very large data sets where only a fraction of the data is visible
-                         at any time.
-            autoResample (bool) If True, resample the data before plotting to avoid plotting
-                         multiple line segments per pixel. This can improve performance when
-                         viewing very high-density data, but increases the initial overhead 
-                         and memory usage.
-            sampleRate   (float) The sample rate of the data along the X axis (for data with
-                         a fixed sample rate). Providing this value improves performance of
-                         the *onlyVisible* and *autoResample* options.
-            identical    *deprecated*
-            ============ =====================================================================
+            ================ =====================================================================
+            antialias        (bool) By default, antialiasing is disabled to improve performance.
+                             Note that in some cases (in particluar, when pxMode=True), points 
+                             will be rendered antialiased even if this is set to False.
+            decimate         deprecated.
+            downsample       (int) Reduce the number of samples displayed by this value
+            downsampleMethod 'subsample': Downsample by taking the first of N samples. 
+                                This method is fastest and least accurate.
+                             'mean': Downsample by taking the mean of N samples.
+                             'peak': Downsample by drawing a saw wave that follows the min 
+                                and max of the original data. This method produces the best 
+                                visual representation of the data but is slower.
+            autoDownsample   (bool) If True, resample the data before plotting to avoid plotting
+                             multiple line segments per pixel. This can improve performance when
+                             viewing very high-density data, but increases the initial overhead 
+                             and memory usage.
+            clipToView       (bool) If True, only plot data that is visible within the X range of
+                             the containing ViewBox. This can improve performance when plotting
+                             very large data sets where only a fraction of the data is visible
+                             at any time.
+            identical        *deprecated*
+            ================ =====================================================================
         
         **Meta-info keyword arguments:**
         
@@ -131,7 +135,6 @@ class PlotDataItem(GraphicsObject):
         self.opts = {
             'fftMode': False,
             'logMode': [False, False],
-            'downsample': False,
             'alphaHint': 1.0,
             'alphaMode': False,
             
@@ -149,6 +152,11 @@ class PlotDataItem(GraphicsObject):
             'antialias': pg.getConfigOption('antialias'),
             'pointMode': None,
             
+            'downsample': 1,
+            'autoDownsample': False,
+            'downsampleMethod': 'peak',
+            'clipToView': False,
+            
             'data': None,
         }
         self.setData(*args, **kargs)
@@ -175,6 +183,7 @@ class PlotDataItem(GraphicsObject):
             return
         self.opts['fftMode'] = mode
         self.xDisp = self.yDisp = None
+        self.xClean = self.yClean = None
         self.updateItems()
         self.informViewBoundsChanged()
     
@@ -183,6 +192,7 @@ class PlotDataItem(GraphicsObject):
             return
         self.opts['logMode'] = [xMode, yMode]
         self.xDisp = self.yDisp = None
+        self.xClean = self.yClean = None
         self.updateItems()
         self.informViewBoundsChanged()
     
@@ -269,13 +279,51 @@ class PlotDataItem(GraphicsObject):
         #self.scatter.setSymbolSize(symbolSize)
         self.updateItems()
 
-    def setDownsampling(self, ds):
-        if self.opts['downsample'] == ds:
+    def setDownsampling(self, ds=None, auto=None, method=None):
+        """
+        Set the downsampling mode of this item. Downsampling reduces the number
+        of samples drawn to increase performance. 
+        
+        ===========  =================================================================
+        Arguments
+        ds           (int) Reduce visible plot samples by this factor. To disable,
+                     set ds=1.
+        auto         (bool) If True, automatically pick *ds* based on visible range
+        mode         'subsample': Downsample by taking the first of N samples. 
+                         This method is fastest and least accurate.
+                     'mean': Downsample by taking the mean of N samples.
+                     'peak': Downsample by drawing a saw wave that follows the min 
+                         and max of the original data. This method produces the best 
+                         visual representation of the data but is slower.
+        ===========  =================================================================
+        """
+        changed = False
+        if ds is not None:
+            if self.opts['downsample'] != ds:
+                changed = True
+                self.opts['downsample'] = ds
+                
+        if auto is not None and self.opts['autoDownsample'] != auto:
+            self.opts['autoDownsample'] = auto
+            changed = True
+                
+        if method is not None:
+            if self.opts['downsampleMethod'] != method:
+                changed = True
+                self.opts['downsampleMethod'] = method
+        
+        if changed:
+            self.xDisp = self.yDisp = None
+            self.updateItems()
+        
+    def setClipToView(self, clip):
+        if self.opts['clipToView'] == clip:
             return
-        self.opts['downsample'] = ds
+        self.opts['clipToView'] = clip
         self.xDisp = self.yDisp = None
         self.updateItems()
         
+        
     def setData(self, *args, **kargs):
         """
         Clear any data displayed by this item and display new data.
@@ -315,7 +363,7 @@ class PlotDataItem(GraphicsObject):
                 raise Exception('Invalid data type %s' % type(data))
             
         elif len(args) == 2:
-            seq = ('listOfValues', 'MetaArray')
+            seq = ('listOfValues', 'MetaArray', 'empty')
             if dataType(args[0]) not in seq or  dataType(args[1]) not in seq:
                 raise Exception('When passing two unnamed arguments, both must be a list or array of values. (got %s, %s)' % (str(type(args[0])), str(type(args[1]))))
             if not isinstance(args[0], np.ndarray):
@@ -376,6 +424,7 @@ class PlotDataItem(GraphicsObject):
         
         self.xData = x.view(np.ndarray)  ## one last check to make sure there are no MetaArrays getting by
         self.yData = y.view(np.ndarray)
+        self.xClean = self.yClean = None
         self.xDisp = None
         self.yDisp = None
         prof.mark('set data')
@@ -423,23 +472,28 @@ class PlotDataItem(GraphicsObject):
     def getData(self):
         if self.xData is None:
             return (None, None)
-        if self.xDisp is None:
+        
+        if self.xClean is None:
             nanMask = np.isnan(self.xData) | np.isnan(self.yData) | np.isinf(self.xData) | np.isinf(self.yData)
             if any(nanMask):
                 self.dataMask = ~nanMask
-                x = self.xData[self.dataMask]
-                y = self.yData[self.dataMask]
+                self.xClean = self.xData[self.dataMask]
+                self.yClean = self.yData[self.dataMask]
             else:
                 self.dataMask = None
-                x = self.xData
-                y = self.yData
-                
+                self.xClean = self.xData
+                self.yClean = self.yData
             
-            ds = self.opts['downsample']
-            if ds > 1:
-                x = x[::ds]
-                #y = resample(y[:len(x)*ds], len(x))  ## scipy.signal.resample causes nasty ringing
-                y = y[::ds]
+        if self.xDisp is None:
+            x = self.xClean
+            y = self.yClean
+            
+            
+            #ds = self.opts['downsample']
+            #if isinstance(ds, int) and ds > 1:
+                #x = x[::ds]
+                ##y = resample(y[:len(x)*ds], len(x))  ## scipy.signal.resample causes nasty ringing
+                #y = y[::ds]
             if self.opts['fftMode']:
                 f = np.fft.fft(y) / len(y)
                 y = abs(f[1:len(f)/2])
@@ -457,6 +511,53 @@ class PlotDataItem(GraphicsObject):
                     y = y[self.dataMask]
                 else:
                     self.dataMask = None
+                    
+            ds = self.opts['downsample']
+            if not isinstance(ds, int):
+                ds = 1
+                
+            if self.opts['autoDownsample']:
+                # this option presumes that x-values have uniform spacing
+                range = self.viewRect()
+                if range is not None:
+                    dx = float(x[-1]-x[0]) / (len(x)-1)
+                    x0 = (range.left()-x[0]) / dx
+                    x1 = (range.right()-x[0]) / dx
+                    width = self.getViewBox().width()
+                    ds = int(max(1, int(0.2 * (x1-x0) / width)))
+                    ## downsampling is expensive; delay until after clipping.
+            
+            if self.opts['clipToView']:
+                # this option presumes that x-values have uniform spacing
+                range = self.viewRect()
+                if range is not None:
+                    dx = float(x[-1]-x[0]) / (len(x)-1)
+                    # clip to visible region extended by downsampling value
+                    x0 = np.clip(int((range.left()-x[0])/dx)-1*ds , 0, len(x)-1)
+                    x1 = np.clip(int((range.right()-x[0])/dx)+2*ds , 0, len(x)-1)
+                    x = x[x0:x1]
+                    y = y[x0:x1]
+                    
+            if ds > 1:
+                if self.opts['downsampleMethod'] == 'subsample':
+                    x = x[::ds]
+                    y = y[::ds]
+                elif self.opts['downsampleMethod'] == 'mean':
+                    n = len(x) / ds
+                    x = x[:n*ds:ds]
+                    y = y[:n*ds].reshape(n,ds).mean(axis=1)
+                elif self.opts['downsampleMethod'] == 'peak':
+                    n = len(x) / ds
+                    x1 = np.empty((n,2))
+                    x1[:] = x[:n*ds:ds,np.newaxis]
+                    x = x1.reshape(n*2)
+                    y1 = np.empty((n,2))
+                    y2 = y[:n*ds].reshape((n, ds))
+                    y1[:,0] = y2.max(axis=1)
+                    y1[:,1] = y2.min(axis=1)
+                    y = y1.reshape(n*2)
+                
+                    
             self.xDisp = x
             self.yDisp = y
         #print self.yDisp.shape, self.yDisp.min(), self.yDisp.max()
@@ -542,6 +643,8 @@ class PlotDataItem(GraphicsObject):
         #self.scatters = []
         self.xData = None
         self.yData = None
+        self.xClean = None
+        self.yClean = None
         self.xDisp = None
         self.yDisp = None
         self.curve.setData([])
@@ -557,6 +660,14 @@ class PlotDataItem(GraphicsObject):
         self.sigClicked.emit(self)
         self.sigPointsClicked.emit(self, points)
     
+    def viewRangeChanged(self):
+        # view range has changed; re-plot if needed
+        if self.opts['clipToView'] or self.opts['autoDownsample']:
+            self.xDisp = self.yDisp = None
+            self.updateItems()
+            
+    
+    
     
 def dataType(obj):
     if hasattr(obj, '__len__') and len(obj) == 0:

pyqtgraph/graphicsItems/PlotItem/PlotItem.py

@@ -256,6 +256,11 @@ class PlotItem(GraphicsWidget):
         c.logYCheck.toggled.connect(self.updateLogMode)
 
         c.downsampleSpin.valueChanged.connect(self.updateDownsampling)
+        c.downsampleCheck.toggled.connect(self.updateDownsampling)
+        c.autoDownsampleCheck.toggled.connect(self.updateDownsampling)
+        c.subsampleRadio.toggled.connect(self.updateDownsampling)
+        c.meanRadio.toggled.connect(self.updateDownsampling)
+        c.clipToViewCheck.toggled.connect(self.updateDownsampling)
 
         self.ctrl.avgParamList.itemClicked.connect(self.avgParamListClicked)
         self.ctrl.averageGroup.toggled.connect(self.avgToggled)
@@ -526,7 +531,8 @@ class PlotItem(GraphicsWidget):
             (alpha, auto) = self.alphaState()
             item.setAlpha(alpha, auto)
             item.setFftMode(self.ctrl.fftCheck.isChecked())
-            item.setDownsampling(self.downsampleMode())
+            item.setDownsampling(*self.downsampleMode())
+            item.setClipToView(self.clipToViewMode())
             item.setPointMode(self.pointMode())
             
             ## Hide older plots if needed
@@ -568,8 +574,8 @@ class PlotItem(GraphicsWidget):
         :func:`InfiniteLine.__init__() <pyqtgraph.InfiniteLine.__init__>`.
         Returns the item created.
         """
-        angle = 0 if x is None else 90
-        pos = x if x is not None else y
+        pos = kwds.get('pos', x if x is not None else y)
+        angle = kwds.get('angle', 0 if x is None else 90)
         line = InfiniteLine(pos, angle, **kwds)
         self.addItem(line)
         if z is not None:
@@ -941,23 +947,81 @@ class PlotItem(GraphicsWidget):
         self.enableAutoRange()
         self.recomputeAverages()
         
-        
+    def setDownsampling(self, ds=None, auto=None, mode=None):
+        """Change the default downsampling mode for all PlotDataItems managed by this plot.
+        
+        ===========  =================================================================
+        Arguments
+        ds           (int) Reduce visible plot samples by this factor, or
+                     (bool) To enable/disable downsampling without changing the value.
+        auto         (bool) If True, automatically pick *ds* based on visible range
+        mode         'subsample': Downsample by taking the first of N samples. 
+                         This method is fastest and least accurate.
+                     'mean': Downsample by taking the mean of N samples.
+                     'peak': Downsample by drawing a saw wave that follows the min 
+                         and max of the original data. This method produces the best 
+                         visual representation of the data but is slower.
+        ===========  =================================================================
+        """
+        if ds is not None:
+            if ds is False:
+                self.ctrl.downsampleCheck.setChecked(False)
+            elif ds is True:
+                self.ctrl.downsampleCheck.setChecked(True)
+            else:
+                self.ctrl.downsampleCheck.setChecked(True)
+                self.ctrl.downsampleSpin.setValue(ds)
+                
+        if auto is not None:
+            if auto and ds is not False:
+                self.ctrl.</