Python pyqtgraph 模块,ScatterPlotItem() 实例源码

我们从Python开源项目中,提取了以下10个代码示例,用于说明如何使用pyqtgraph.ScatterPlotItem()

项目:NeoAnalysis    作者:neoanalysis    | 项目源码 | 文件源码
def test_init_spots():
    plot = pg.PlotWidget()
    # set view range equal to its bounding rect. 
    # This causes plots to look the same regardless of pxMode.
    plot.setRange(rect=plot.boundingRect())
    spots = [
        {'x': 0, 'y': 1},
        {'pos': (1, 2), 'pen': None, 'brush': None, 'data': 'zzz'},
    ]
    s = pg.ScatterPlotItem(spots=spots)

    # Check we can display without errors
    plot.addItem(s)
    app.processEvents()
    plot.clear()

    # check data is correct
    spots = s.points()

    defPen = pg.mkPen(pg.getConfigOption('foreground'))

    assert spots[0].pos().x() == 0
    assert spots[0].pos().y() == 1
    assert spots[0].pen() == defPen
    assert spots[0].data() is None

    assert spots[1].pos().x() == 1
    assert spots[1].pos().y() == 2
    assert spots[1].pen() == pg.mkPen(None)
    assert spots[1].brush() == pg.mkBrush(None)
    assert spots[1].data() == 'zzz'
项目:NeoAnalysis    作者:neoanalysis    | 项目源码 | 文件源码
def test_init_spots():
    plot = pg.PlotWidget()
    # set view range equal to its bounding rect. 
    # This causes plots to look the same regardless of pxMode.
    plot.setRange(rect=plot.boundingRect())
    spots = [
        {'x': 0, 'y': 1},
        {'pos': (1, 2), 'pen': None, 'brush': None, 'data': 'zzz'},
    ]
    s = pg.ScatterPlotItem(spots=spots)

    # Check we can display without errors
    plot.addItem(s)
    app.processEvents()
    plot.clear()

    # check data is correct
    spots = s.points()

    defPen = pg.mkPen(pg.getConfigOption('foreground'))

    assert spots[0].pos().x() == 0
    assert spots[0].pos().y() == 1
    assert spots[0].pen() == defPen
    assert spots[0].data() is None

    assert spots[1].pos().x() == 1
    assert spots[1].pos().y() == 2
    assert spots[1].pen() == pg.mkPen(None)
    assert spots[1].brush() == pg.mkBrush(None)
    assert spots[1].data() == 'zzz'
项目:orange3-educational    作者:biolab    | 项目源码 | 文件源码
def plot_scatter_points(self, x_data, y_data):
        if self.scatterplot_item:
            self.plotview.removeItem(self.scatterplot_item)
        self.n_points = len(x_data)
        self.scatterplot_item = pg.ScatterPlotItem(
            x=x_data, y=y_data, data=np.arange(self.n_points),
            symbol="o", size=10, pen=pg.mkPen(0.2), brush=pg.mkBrush(0.7),
            antialias=True)
        self.scatterplot_item.opts["useCache"] = False
        self.plotview.addItem(self.scatterplot_item)
        self.plotview.replot()
项目:specviz    作者:spacetelescope    | 项目源码 | 文件源码
def from_layer(layer, **kwargs):
        """Create a LinePlot from a layer

        Parameters
        ----------
        layer: `Spectrum1DRefLayer`
            The layer to create from.

        kwargs: dict
            Other arguments for `LinePlot` class.

        Returns
        -------
        plot_container:
            The new LinePlot
        """
        plot_data_item = pg.PlotDataItem(layer.masked_dispersion, layer.masked_data)

        plot_container = LinePlot(layer=layer, plot=plot_data_item, **kwargs)

        if plot_container.layer.raw_uncertainty is not None:
            plot_error_item = pg.ErrorBarItem(
                x=plot_container.layer.masked_dispersion.compressed().value,
                y=plot_container.layer.masked_data.compressed().value,
                height=plot_container.layer.raw_uncertainty.compressed().value,
            )
            plot_container.error = plot_error_item

        if plot_container.layer.mask is not None:
            mask = plot_container.layer.mask
            x = plot_container.layer.masked_dispersion.data.value[mask]
            y = plot_container.layer.masked_data.data.value[mask]
            plot_mask_item = pg.ScatterPlotItem(
                x=x,
                y=y,
                symbol='x'
            )
            plot_container.mask = plot_mask_item

        return plot_container
项目:orange-infrared    作者:markotoplak    | 项目源码 | 文件源码
def __init__(self, graph):
        ViewBox.__init__(self, enableMenu=False)
        self.graph = graph
        self.setMouseMode(self.PanMode)
        self.zoomstartpoint = None
        self.current_selection = None
        self.action = PANNING
        self.y_padding = 0.02
        self.x_padding = 0

        # line for marking selection
        self.selection_line = pg.PlotCurveItem()
        self.selection_line.setPen(pg.mkPen(color=QColor(Qt.black), width=2, style=Qt.DotLine))
        self.selection_line.setZValue(1e9)
        self.selection_line.hide()
        self.addItem(self.selection_line, ignoreBounds=True)

        # yellow marker for ending the polygon
        self.selection_poly_marker = pg.ScatterPlotItem()
        self.selection_poly_marker.setPen(pg.mkPen(color=QColor(Qt.yellow), width=2))
        self.selection_poly_marker.setSize(SELECT_POLYGON_TOLERANCE*2)
        self.selection_poly_marker.setBrush(None)
        self.selection_poly_marker.setZValue(1e9+1)
        self.selection_poly_marker.hide()
        self.selection_poly_marker.mouseClickEvent = lambda x: x  # ignore mouse clicks
        self.addItem(self.selection_poly_marker, ignoreBounds=True)
项目:NeoAnalysis    作者:neoanalysis    | 项目源码 | 文件源码
def test_scatterplotitem():
    plot = pg.PlotWidget()
    # set view range equal to its bounding rect. 
    # This causes plots to look the same regardless of pxMode.
    plot.setRange(rect=plot.boundingRect())
    for i, pxMode in enumerate([True, False]):
        for j, useCache in enumerate([True, False]):
            s = pg.ScatterPlotItem()
            s.opts['useCache'] = useCache
            plot.addItem(s)
            s.setData(x=np.array([10,40,20,30])+i*100, y=np.array([40,60,10,30])+j*100, pxMode=pxMode)
            s.addPoints(x=np.array([60, 70])+i*100, y=np.array([60, 70])+j*100, size=[20, 30])

            # Test uniform spot updates
            s.setSize(10)
            s.setBrush('r')
            s.setPen('g')
            s.setSymbol('+')
            app.processEvents()

            # Test list spot updates
            s.setSize([10] * 6)
            s.setBrush([pg.mkBrush('r')] * 6)
            s.setPen([pg.mkPen('g')] * 6)
            s.setSymbol(['+'] * 6)
            s.setPointData([s] * 6)
            app.processEvents()

            # Test array spot updates
            s.setSize(np.array([10] * 6))
            s.setBrush(np.array([pg.mkBrush('r')] * 6))
            s.setPen(np.array([pg.mkPen('g')] * 6))
            s.setSymbol(np.array(['+'] * 6))
            s.setPointData(np.array([s] * 6))
            app.processEvents()

            # Test per-spot updates
            spot = s.points()[0]
            spot.setSize(20)
            spot.setBrush('b')
            spot.setPen('g')
            spot.setSymbol('o')
            spot.setData(None)
            app.processEvents()

    plot.clear()
项目:NeoAnalysis    作者:neoanalysis    | 项目源码 | 文件源码
def test_scatterplotitem():
    plot = pg.PlotWidget()
    # set view range equal to its bounding rect. 
    # This causes plots to look the same regardless of pxMode.
    plot.setRange(rect=plot.boundingRect())
    for i, pxMode in enumerate([True, False]):
        for j, useCache in enumerate([True, False]):
            s = pg.ScatterPlotItem()
            s.opts['useCache'] = useCache
            plot.addItem(s)
            s.setData(x=np.array([10,40,20,30])+i*100, y=np.array([40,60,10,30])+j*100, pxMode=pxMode)
            s.addPoints(x=np.array([60, 70])+i*100, y=np.array([60, 70])+j*100, size=[20, 30])

            # Test uniform spot updates
            s.setSize(10)
            s.setBrush('r')
            s.setPen('g')
            s.setSymbol('+')
            app.processEvents()

            # Test list spot updates
            s.setSize([10] * 6)
            s.setBrush([pg.mkBrush('r')] * 6)
            s.setPen([pg.mkPen('g')] * 6)
            s.setSymbol(['+'] * 6)
            s.setPointData([s] * 6)
            app.processEvents()

            # Test array spot updates
            s.setSize(np.array([10] * 6))
            s.setBrush(np.array([pg.mkBrush('r')] * 6))
            s.setPen(np.array([pg.mkPen('g')] * 6))
            s.setSymbol(np.array(['+'] * 6))
            s.setPointData(np.array([s] * 6))
            app.processEvents()

            # Test per-spot updates
            spot = s.points()[0]
            spot.setSize(20)
            spot.setBrush('b')
            spot.setPen('g')
            spot.setSymbol('o')
            spot.setData(None)
            app.processEvents()

    plot.clear()
项目:CElegansBehaviour    作者:ChristophKirst    | 项目源码 | 文件源码
def plot_trace(xy, ids = None, depth = 0, colormap = 'rainbow', line_color = 'k', line_width = 1, point_size = 5, title = None):
  """Plot trajectories with positions color coded according to discrete ids"""

  #if ids is not None:
  uids = np.unique(ids);

  cmap = cm.get_cmap(colormap);
  n = len(uids);
  colors = cmap(range(n), bytes = True);

  #lines
  if line_width is not None:
    #plt.plot(xy[:,0], xy[:,1], color = lines);    
    plot = pg.plot(xy[:,0], xy[:,1], pen = pg.mkPen(color = line_color, width = line_width))    
  else:
    plot = pg.plot(title = title);

  if ids is None:
    sp = pg.ScatterPlotItem(pos = xy, size=point_size, pen=pg.mkPen(colors[0])); #, pxMode=True);
  else:
    sp = pg.ScatterPlotItem(size=point_size); #, pxMode=True);
    spots = [];
    for j,i in enumerate(uids):
      idx = ids == i;
      spots.append({'pos': xy[idx,:].T, 'data': 1, 'brush':pg.mkBrush(colors[j])}); #, 'size': point_size});
    sp.addPoints(spots)

  plot.addItem(sp);

  return plot;


#  legs = [];
#  for k,i in enumerate(uids):
#    ii = np.where(ids == i)[0];
#    if depth > 0:
#      ii = [ii-d for d in range(depth)];
#      ii = np.unique(np.concatenate(ii));
#    
#    plt.plot(data[ii, 0], data[ii, 1], '.', color = color[k]);
#
#    legs.append(mpatches.Patch(color=color[k], label= str(i)));
#  
#  plt.legend(handles=legs);
项目:CElegansBehaviour    作者:ChristophKirst    | 项目源码 | 文件源码
def plot_trace(xy, ids = None, depth = 0, colormap = 'rainbow', line_color = 'k', line_width = 1, point_size = 5, title = None):
  """Plot trajectories with positions color coded according to discrete ids"""

  #if ids is not None:
  uids = np.unique(ids);

  cmap = cm.get_cmap(colormap);
  n = len(uids);
  colors = cmap(range(n), bytes = True);

  #lines
  if line_width is not None:
    #plt.plot(xy[:,0], xy[:,1], color = lines);    
    plot = pg.plot(xy[:,0], xy[:,1], pen = pg.mkPen(color = line_color, width = line_width))    
  else:
    plot = pg.plot(title = title);

  if ids is None:
    sp = pg.ScatterPlotItem(pos = xy, size=point_size, pen=pg.mkPen(colors[0])); #, pxMode=True);
  else:
    sp = pg.ScatterPlotItem(size=point_size); #, pxMode=True);
    spots = [];
    for j,i in enumerate(uids):
      idx = ids == i;
      spots.append({'pos': xy[idx,:].T, 'data': 1, 'brush':pg.mkBrush(colors[j])}); #, 'size': point_size});
    sp.addPoints(spots)

  plot.addItem(sp);

  return plot;


#  legs = [];
#  for k,i in enumerate(uids):
#    ii = np.where(ids == i)[0];
#    if depth > 0:
#      ii = [ii-d for d in range(depth)];
#      ii = np.unique(np.concatenate(ii));
#    
#    plt.plot(data[ii, 0], data[ii, 1], '.', color = color[k]);
#
#    legs.append(mpatches.Patch(color=color[k], label= str(i)));
#  
#  plt.legend(handles=legs);
项目:orange-infrared    作者:markotoplak    | 项目源码 | 文件源码
def refresh_integral_markings(dis, markings_list, curveplot):
    for m in markings_list:
        if m in curveplot.markings:
            curveplot.remove_marking(m)
    markings_list.clear()

    def add_marking(a):
        markings_list.append(a)
        curveplot.add_marking(a)

    for di in dis:

        if di is None:
            continue  # nothing to draw

        color = QColor(di.get("color", "red"))

        for el in di["draw"]:

            if el[0] == "curve":
                bs_x, bs_ys, penargs = el[1]
                curve = pg.PlotCurveItem()
                curve.setPen(pg.mkPen(color=QColor(color), **penargs))
                curve.setZValue(10)
                curve.setData(x=bs_x, y=bs_ys[0])
                add_marking(curve)

            elif el[0] == "fill":
                (x1, ys1), (x2, ys2) = el[1]
                phigh = pg.PlotCurveItem(x1, ys1[0], pen=None)
                plow = pg.PlotCurveItem(x2, ys2[0], pen=None)
                color = QColor(color)
                color.setAlphaF(0.5)
                cc = pg.mkBrush(color)
                pfill = pg.FillBetweenItem(plow, phigh, brush=cc)
                pfill.setZValue(9)
                add_marking(pfill)

            elif el[0] == "line":
                (x1, y1), (x2, y2) = el[1]
                line = pg.PlotCurveItem()
                line.setPen(pg.mkPen(color=QColor(color), width=4))
                line.setZValue(10)
                line.setData(x=[x1[0], x2[0]], y=[y1[0], y2[0]])
                add_marking(line)

            elif el[0] == "dot":
                (x, ys) = el[1]
                dot = pg.ScatterPlotItem(x=x, y=ys[0])
                dot.setPen(pg.mkPen(color=QColor(color), width=5))
                dot.setZValue(10)
                add_marking(dot)