class OWScatterPlotGraph(gui.OWComponent, ScaleScatterPlotData):
attr_color = ContextSetting("", ContextSetting.OPTIONAL)
attr_label = ContextSetting("", ContextSetting.OPTIONAL)
attr_shape = ContextSetting("", ContextSetting.OPTIONAL)
attr_size = ContextSetting("", ContextSetting.OPTIONAL)
point_width = Setting(10)
alpha_value = Setting(255)
show_grid = Setting(False)
show_legend = Setting(True)
tooltip_shows_all = Setting(False)
square_granularity = Setting(3)
space_between_cells = Setting(True)
CurveSymbols = np.array("o x t + d s ?".split())
MinShapeSize = 6
DarkerValue = 120
UnknownColor = (168, 50, 168)
def __init__(self, scatter_widget, parent=None, _="None"):
gui.OWComponent.__init__(self, scatter_widget)
self.view_box = InteractiveViewBox(self)
self.plot_widget = pg.PlotWidget(viewBox=self.view_box, parent=parent)
self.plot_widget.setAntialiasing(True)
self.replot = self.plot_widget
ScaleScatterPlotData.__init__(self)
self.scatterplot_item = None
self.tooltip_data = []
self.tooltip = TextItem(
border=pg.mkPen(200, 200, 200), fill=pg.mkBrush(250, 250, 200, 220))
self.tooltip.hide()
self.labels = []
self.master = scatter_widget
self.shown_attribute_indices = []
self.shown_x = ""
self.shown_y = ""
self.pen_colors = self.brush_colors = None
self.valid_data = None # np.ndarray
self.selection = None # np.ndarray
self.n_points = 0
self.gui = OWPlotGUI(self)
self.continuous_palette = ContinuousPaletteGenerator(
QColor(255, 255, 0), QColor(0, 0, 255), True)
self.discrete_palette = ColorPaletteGenerator()
self.selection_behavior = 0
self.legend = self.color_legend = None
self.scale = None # DiscretizedScale
self.tips = TooltipManager(self)
# self.setMouseTracking(True)
# self.grabGesture(QPinchGesture)
# self.grabGesture(QPanGesture)
self.update_grid()
def set_data(self, data, subset_data=None, **args):
self.plot_widget.clear()
ScaleScatterPlotData.set_data(self, data, subset_data, **args)
def update_data(self, attr_x, attr_y):
self.shown_x = attr_x
self.shown_y = attr_y
self.remove_legend()
if self.scatterplot_item:
self.plot_widget.removeItem(self.scatterplot_item)
for label in self.labels:
self.plot_widget.removeItem(label)
self.labels = []
self.tooltip_data = []
self.set_axis_title("bottom", "")
self.set_axis_title("left", "")
if self.scaled_data is None or not len(self.scaled_data):
self.valid_data = None
self.n_points = 0
return
index_x = self.attribute_name_index[attr_x]
index_y = self.attribute_name_index[attr_y]
self.valid_data = self.get_valid_list([index_x, index_y])
x_data, y_data = self.get_xy_data_positions(
attr_x, attr_y, self.valid_data)
x_data = x_data[self.valid_data]
y_data = y_data[self.valid_data]
self.n_points = len(x_data)
for axis, name, index in (("bottom", attr_x, index_x),
("left", attr_y, index_y)):
self.set_axis_title(axis, name)
var = self.data_domain[index]
if isinstance(var, DiscreteVariable):
self.set_labels(axis, get_variable_values_sorted(var))
color_data, brush_data = self.compute_colors()
size_data = self.compute_sizes()
shape_data = self.compute_symbols()
self.scatterplot_item = ScatterPlotItem(
x=x_data, y=y_data, data=np.arange(self.n_points),
symbol=shape_data, size=size_data, pen=color_data, brush=brush_data)
self.plot_widget.addItem(self.scatterplot_item)
self.plot_widget.addItem(self.tooltip)
self.scatterplot_item.selected_points = []
self.scatterplot_item.sigClicked.connect(self.select_by_click)
self.scatterplot_item.scene().sigMouseMoved.connect(self.mouseMoved)
self.update_labels()
self.make_legend()
self.plot_widget.replot()
def set_labels(self, axis, labels):
axis = self.plot_widget.getAxis(axis)
if labels:
ticks = [[(i, labels[i]) for i in range(len(labels))]]
axis.setTicks(ticks)
else:
axis.setTicks(None)
def set_axis_title(self, axis, title):
self.plot_widget.setLabel(axis=axis, text=title)
def get_size_index(self):
size_index = -1
attr_size = self.attr_size
if attr_size != "" and attr_size != "(Same size)":
size_index = self.attribute_name_index[attr_size]
return size_index
def compute_sizes(self):
size_index = self.get_size_index()
if size_index == -1:
size_data = np.full((self.n_points,), self.point_width)
else:
size_data = \
self.MinShapeSize + \
self.no_jittering_scaled_data[size_index] * self.point_width
size_data[np.isnan(size_data)] = self.MinShapeSize - 2
return size_data
def update_sizes(self):
if self.scatterplot_item:
size_data = self.compute_sizes()
self.scatterplot_item.setSize(size_data)
update_point_size = update_sizes
def get_color_index(self):
color_index = -1
attr_color = self.attr_color
if attr_color != "" and attr_color != "(Same color)":
color_index = self.attribute_name_index[attr_color]
color_var = self.data_domain[attr_color]
if isinstance(color_var, DiscreteVariable):
self.discrete_palette.set_number_of_colors(
len(color_var.values))
return color_index
def compute_colors(self, keep_colors=False):
if not keep_colors:
self.pen_colors = self.brush_colors = None
color_index = self.get_color_index()
if color_index == -1:
color = self.plot_widget.palette().color(OWPalette.Data)
pen = [QPen(QBrush(color), 1.5)] * self.n_points
if self.selection is not None:
brush = [(QBrush(QColor(128, 128, 128, 255)),
QBrush(QColor(128, 128, 128)))[s]
for s in self.selection]
else:
brush = [QBrush(QColor(128, 128, 128))] * self.n_points
return pen, brush
c_data = self.original_data[color_index, self.valid_data]
if isinstance(self.data_domain[color_index], ContinuousVariable):
if self.pen_colors is None:
self.scale = DiscretizedScale(np.min(c_data), np.max(c_data))
c_data -= self.scale.offset
c_data /= self.scale.width
c_data = np.floor(c_data) + 0.5
c_data /= self.scale.bins
c_data = np.clip(c_data, 0, 1)
palette = self.continuous_palette
self.pen_colors = palette.getRGB(c_data)
self.brush_colors = np.hstack(
[self.pen_colors,
np.full((self.n_points, 1), self.alpha_value)])
self.pen_colors *= 100 / self.DarkerValue
self.pen_colors = [QPen(QBrush(QColor(*col)), 1.5)
for col in self.pen_colors.tolist()]
if self.selection is not None:
self.brush_colors[:, 3] = 0
self.brush_colors[self.selection, 3] = self.alpha_value
else:
self.brush_colors[:, 3] = self.alpha_value
pen = self.pen_colors
brush = np.array([QBrush(QColor(*col))
for col in self.brush_colors.tolist()])
else:
if self.pen_colors is None:
palette = self.discrete_palette
n_colors = palette.number_of_colors
c_data = c_data.copy()
c_data[np.isnan(c_data)] = n_colors
c_data = c_data.astype(int)
colors = palette.getRGB(np.arange(n_colors + 1))
colors[n_colors] = (128, 128, 128)
pens = np.array(
[QPen(QBrush(QColor(*col).darker(self.DarkerValue)), 1.5)
for col in colors])
self.pen_colors = pens[c_data]
self.brush_colors = np.array([
[QBrush(QColor(0, 0, 0, 0)),
QBrush(QColor(col[0], col[1], col[2], self.alpha_value))]
for col in colors])
self.brush_colors = self.brush_colors[c_data]
if self.selection is not None:
brush = np.where(
self.selection,
self.brush_colors[:, 1], self.brush_colors[:, 0])
else:
brush = self.brush_colors[:, 1]
pen = self.pen_colors
return pen, brush
def update_colors(self, keep_colors=False):
if self.scatterplot_item:
pen_data, brush_data = self.compute_colors(keep_colors)
self.scatterplot_item.setPen(pen_data, update=False, mask=None)
self.scatterplot_item.setBrush(brush_data, mask=None)
if not keep_colors:
self.make_legend()
update_alpha_value = update_colors
def create_labels(self):
for x, y in zip(*self.scatterplot_item.getData()):
ti = TextItem()
self.plot_widget.addItem(ti)
ti.setPos(x, y)
self.labels.append(ti)
def update_labels(self):
if not self.attr_label:
for label in self.labels:
label.setText("")
return
if not self.labels:
self.create_labels()
label_column = self.raw_data.get_column_view(self.attr_label)[0]
formatter = self.raw_data.domain[self.attr_label].str_val
label_data = map(formatter, label_column)
black = pg.mkColor(0, 0, 0)
for label, text in zip(self.labels, label_data):
label.setText(text, black)
def get_shape_index(self):
shape_index = -1
attr_shape = self.attr_shape
if attr_shape and attr_shape != "(Same shape)" and \
len(self.data_domain[attr_shape].values) <= \
len(self.CurveSymbols):
shape_index = self.attribute_name_index[attr_shape]
return shape_index
def compute_symbols(self):
shape_index = self.get_shape_index()
if shape_index == -1:
shape_data = self.CurveSymbols[np.zeros(self.n_points, dtype=int)]
else:
shape_data = self.original_data[shape_index]
shape_data[np.isnan(shape_data)] = len(self.CurveSymbols) - 1
shape_data = self.CurveSymbols[shape_data.astype(int)]
return shape_data
def update_shapes(self):
if self.scatterplot_item:
shape_data = self.compute_symbols()
self.scatterplot_item.setSymbol(shape_data)
self.make_legend()
def update_grid(self):
self.plot_widget.showGrid(x=self.show_grid, y=self.show_grid)
def update_legend(self):
if self.legend:
self.legend.setVisible(self.show_legend)
def create_legend(self):
self.legend = PositionedLegendItem(self.plot_widget.plotItem, self)
def remove_legend(self):
if self.legend:
self.legend.setParent(None)
self.legend = None
if self.color_legend:
self.color_legend.setParent(None)
self.color_legend = None
def make_legend(self):
self.remove_legend()
self.make_color_legend()
self.make_shape_legend()
self.update_legend()
def make_color_legend(self):
color_index = self.get_color_index()
if color_index == -1:
return
color_var = self.data_domain[color_index]
use_shape = self.get_shape_index() == color_index
if isinstance(color_var, DiscreteVariable):
if not self.legend:
self.create_legend()
palette = self.discrete_palette
for i, value in enumerate(color_var.values):
color = QColor(*palette.getRGB(i))
brush = color.lighter(self.DarkerValue)
self.legend.addItem(
ScatterPlotItem(
pen=color, brush=brush, size=10,
symbol=self.CurveSymbols[i] if use_shape else "o"),
value)
else:
legend = self.color_legend = PositionedLegendItem(
self.plot_widget.plotItem,
self, legend_id="colors", at_bottom=True)
label = PaletteItemSample(self.continuous_palette, self.scale)
legend.addItem(label, "")
legend.setGeometry(label.boundingRect())
def make_shape_legend(self):
shape_index = self.get_shape_index()
if shape_index == -1 or shape_index == self.get_color_index():
return
if not self.legend:
self.create_legend()
shape_var = self.data_domain[shape_index]
color = self.plot_widget.palette().color(OWPalette.Data)
pen = QPen(color.darker(self.DarkerValue))
color.setAlpha(self.alpha_value)
for i, value in enumerate(shape_var.values):
self.legend.addItem(
ScatterPlotItem(pen=pen, brush=color, size=10,
symbol=self.CurveSymbols[i]), value)
# noinspection PyPep8Naming
def mouseMoved(self, pos):
act_pos = self.scatterplot_item.mapFromScene(pos)
points = self.scatterplot_item.pointsAt(act_pos)
text = ""
if len(points):
for i, p in enumerate(points):
index = p.data()
text += "Attributes:\n"
if self.tooltip_shows_all:
text += "".join(
' {} = {}\n'.format(attr.name,
self.raw_data[index][attr])
for attr in self.data_domain.attributes)
else:
text += ' {} = {}\n {} = {}\n'.format(
self.shown_x, self.raw_data[index][self.shown_x],
self.shown_y, self.raw_data[index][self.shown_y])
if self.data_domain.class_var:
text += 'Class:\n {} = {}\n'.format(
self.data_domain.class_var.name,
self.raw_data[index][self.raw_data.domain.class_var])
if i < len(points) - 1:
text += '------------------\n'
self.tooltip.setText(text, color=(0, 0, 0))
self.tooltip.setPos(act_pos)
self.tooltip.show()
self.tooltip.setZValue(10)
else:
self.tooltip.hide()
def zoom_button_clicked(self):
self.scatterplot_item.getViewBox().setMouseMode(
self.scatterplot_item.getViewBox().RectMode)
def pan_button_clicked(self):
self.scatterplot_item.getViewBox().setMouseMode(
self.scatterplot_item.getViewBox().PanMode)
def select_button_clicked(self):
self.scatterplot_item.getViewBox().setMouseMode(
self.scatterplot_item.getViewBox().RectMode)
def reset_button_clicked(self):
self.view_box.autoRange()
def select_by_click(self, _, points):
self.select(points)
def select_by_rectangle(self, value_rect):
points = [point
for point in self.scatterplot_item.points()
if value_rect.contains(QPointF(point.pos()))]
self.select(points)
def unselect_all(self):
self.selection = None
self.update_colors(keep_colors=True)
def select(self, points):
# noinspection PyArgumentList
keys = QApplication.keyboardModifiers()
if self.selection is None or not keys & (
Qt.ShiftModifier + Qt.ControlModifier + Qt.AltModifier):
self.selection = np.full(self.n_points, False, dtype=np.bool)
indices = [p.data() for p in points]
if keys & Qt.ControlModifier:
self.selection[indices] = False
elif keys & Qt.AltModifier:
self.selection[indices] = 1 - self.selection[indices]
else: # Handle shift and no modifiers
self.selection[indices] = True
self.update_colors(keep_colors=True)
self.master.selection_changed()
def get_selection(self):
if self.selection is None:
return np.array([], dtype=int)
else:
return np.arange(len(self.raw_data)
)[self.valid_data][self.selection]
def set_palette(self, p):
self.plot_widget.setPalette(p)
def save_to_file(self, size):
pass
class OWScatterPlotGraph(gui.OWComponent, ScaleScatterPlotData):
attr_color = ContextSetting("", ContextSetting.OPTIONAL)
attr_label = ContextSetting("", ContextSetting.OPTIONAL)
attr_shape = ContextSetting("", ContextSetting.OPTIONAL)
attr_size = ContextSetting("", ContextSetting.OPTIONAL)
point_width = Setting(10)
alpha_value = Setting(128)
show_grid = Setting(False)
show_legend = Setting(True)
tooltip_shows_all = Setting(False)
class_density = Setting(False)
resolution = 256
CurveSymbols = np.array("o x t + d s ?".split())
MinShapeSize = 6
DarkerValue = 120
UnknownColor = (168, 50, 168)
def __init__(self, scatter_widget, parent=None, _="None"):
gui.OWComponent.__init__(self, scatter_widget)
self.view_box = InteractiveViewBox(self)
self.plot_widget = pg.PlotWidget(viewBox=self.view_box, parent=parent,
background="w")
self.plot_widget.getPlotItem().buttonsHidden = True
self.plot_widget.setAntialiasing(True)
self.plot_widget.sizeHint = lambda: QtCore.QSize(500,500)
self.replot = self.plot_widget.replot
ScaleScatterPlotData.__init__(self)
self.density_img = None
self.scatterplot_item = None
self.scatterplot_item_sel = None
self.labels = []
self.master = scatter_widget
self.shown_attribute_indices = []
self.shown_x = ""
self.shown_y = ""
self.pen_colors = self.brush_colors = None
self.valid_data = None # np.ndarray
self.selection = None # np.ndarray
self.n_points = 0
self.gui = OWPlotGUI(self)
self.continuous_palette = ContinuousPaletteGenerator(
QColor(255, 255, 0), QColor(0, 0, 255), True)
self.discrete_palette = ColorPaletteGenerator()
self.selection_behavior = 0
self.legend = self.color_legend = None
self.__legend_anchor = (1, 0), (1, 0)
self.__color_legend_anchor = (1, 1), (1, 1)
self.scale = None # DiscretizedScale
self.subset_indices = None
# self.setMouseTracking(True)
# self.grabGesture(QPinchGesture)
# self.grabGesture(QPanGesture)
self.update_grid()
self._tooltip_delegate = HelpEventDelegate(self.help_event)
self.plot_widget.scene().installEventFilter(self._tooltip_delegate)
def new_data(self, data, subset_data=None, **args):
self.plot_widget.clear()
self.density_img = None
self.scatterplot_item = None
self.scatterplot_item_sel = None
self.labels = []
self.selection = None
self.valid_data = None
self.subset_indices = set(e.id for e in subset_data) if subset_data else None
self.set_data(data, **args)
def update_data(self, attr_x, attr_y, reset_view=True):
self.shown_x = attr_x
self.shown_y = attr_y
self.remove_legend()
if self.density_img:
self.plot_widget.removeItem(self.density_img)
self.density_img = None
if self.scatterplot_item:
self.plot_widget.removeItem(self.scatterplot_item)
self.scatterplot_item = None
if self.scatterplot_item_sel:
self.plot_widget.removeItem(self.scatterplot_item_sel)
self.scatterplot_item_sel = None
for label in self.labels:
self.plot_widget.removeItem(label)
self.labels = []
self.set_axis_title("bottom", "")
self.set_axis_title("left", "")
if self.scaled_data is None or not len(self.scaled_data):
self.valid_data = None
self.selection = None
self.n_points = 0
return
index_x = self.attribute_name_index[attr_x]
index_y = self.attribute_name_index[attr_y]
self.valid_data = self.get_valid_list([index_x, index_y],
also_class_if_exists=False)
x_data, y_data = self.get_xy_data_positions(
attr_x, attr_y, self.valid_data)
self.n_points = len(x_data)
if reset_view:
min_x, max_x = np.nanmin(x_data), np.nanmax(x_data)
min_y, max_y = np.nanmin(y_data), np.nanmax(y_data)
self.view_box.setRange(
QRectF(min_x, min_y, max_x - min_x, max_y - min_y),
padding=0.025)
self.view_box.init_history()
self.view_box.tag_history()
[min_x, max_x], [min_y, max_y] = self.view_box.viewRange()
for axis, name, index in (("bottom", attr_x, index_x),
("left", attr_y, index_y)):
self.set_axis_title(axis, name)
var = self.data_domain[index]
if var.is_discrete:
self.set_labels(axis, get_variable_values_sorted(var))
else:
self.set_labels(axis, None)
color_data, brush_data = self.compute_colors()
color_data_sel, brush_data_sel = self.compute_colors_sel()
size_data = self.compute_sizes()
shape_data = self.compute_symbols()
if self.should_draw_density():
rgb_data = [pen.color().getRgb()[:3] for pen in color_data]
self.density_img = classdensity.class_density_image(min_x, max_x, min_y, max_y, self.resolution,
x_data, y_data, rgb_data)
self.plot_widget.addItem(self.density_img)
data_indices = np.flatnonzero(self.valid_data)
self.scatterplot_item = ScatterPlotItem(
x=x_data, y=y_data, data=data_indices,
symbol=shape_data, size=size_data, pen=color_data, brush=brush_data
)
self.scatterplot_item_sel = ScatterPlotItem(
x=x_data, y=y_data, data=data_indices,
symbol=shape_data, size=size_data + SELECTION_WIDTH,
pen=color_data_sel, brush=brush_data_sel
)
self.plot_widget.addItem(self.scatterplot_item_sel)
self.plot_widget.addItem(self.scatterplot_item)
self.scatterplot_item.selected_points = []
self.scatterplot_item.sigClicked.connect(self.select_by_click)
# The hook below used to be used by biolab.
# Now it is only used by the ROI propagation, so
# A better solution should be found.
# TODO: Find a better solution to this hook.
self.scatterplot_item.scene().sigMouseMoved.connect(self.mouseMoved)
self.update_labels()
self.make_legend()
self.plot_widget.replot()
def can_draw_density(self):
if self.data_domain is None:
return False
discrete_color = False
attr_color = self.attr_color
if attr_color != "" and attr_color != "(Same color)":
color_var = self.data_domain[attr_color]
discrete_color = color_var.is_discrete
continuous_x = False
continuous_y = False
if self.shown_x and self.shown_y:
continuous_x = self.data_domain[self.shown_x].is_continuous
continuous_y = self.data_domain[self.shown_y].is_continuous
return discrete_color and continuous_x and continuous_y
def should_draw_density(self):
return self.class_density and self.n_points > 1 and self.can_draw_density()
def set_labels(self, axis, labels):
axis = self.plot_widget.getAxis(axis)
if labels:
ticks = [[(i, labels[i]) for i in range(len(labels))]]
axis.setTicks(ticks)
else:
axis.setTicks(None)
def set_axis_title(self, axis, title):
self.plot_widget.setLabel(axis=axis, text=title)
def get_size_index(self):
size_index = -1
attr_size = self.attr_size
if attr_size != "" and attr_size != "(Same size)":
size_index = self.attribute_name_index[attr_size]
return size_index
def compute_sizes(self):
size_index = self.get_size_index()
if size_index == -1:
size_data = np.full((self.n_points,), self.point_width)
else:
size_data = \
self.MinShapeSize + \
self.no_jittering_scaled_data[size_index, self.valid_data] * self.point_width
size_data[np.isnan(size_data)] = self.MinShapeSize - 2
return size_data
def update_sizes(self):
if self.scatterplot_item:
size_data = self.compute_sizes()
self.scatterplot_item.setSize(size_data)
self.scatterplot_item_sel.setSize(size_data + SELECTION_WIDTH)
update_point_size = update_sizes
def get_color_index(self):
color_index = -1
attr_color = self.attr_color
if attr_color != "" and attr_color != "(Same color)":
color_index = self.attribute_name_index[attr_color]
color_var = self.data_domain[attr_color]
if color_var.is_discrete:
self.discrete_palette.set_number_of_colors(
len(color_var.values))
return color_index
def compute_colors_sel(self, keep_colors=False):
if not keep_colors:
self.pen_colors_sel = self.brush_colors_sel = None
def make_pen(color, width):
p = QPen(color, width)
p.setCosmetic(True)
return p
pens = [ QPen(Qt.NoPen),
make_pen(QColor(255, 190, 0, 255), SELECTION_WIDTH + 1.) ]
if self.selection is not None:
pen = [pens[a] for a in self.selection[self.valid_data]]
else:
pen = [pens[0]] * self.n_points
brush = [QBrush(QColor(255, 255, 255, 0))] * self.n_points
return pen, brush
def compute_colors(self, keep_colors=False):
if not keep_colors:
self.pen_colors = self.brush_colors = None
color_index = self.get_color_index()
def make_pen(color, width):
p = QPen(color, width)
p.setCosmetic(True)
return p
subset = None
if self.subset_indices:
subset = np.array([ ex.id in self.subset_indices
for ex in self.raw_data[self.valid_data] ])
if color_index == -1: #color = "Same color"
color = self.plot_widget.palette().color(OWPalette.Data)
pen = [make_pen(color, 1.5)] * self.n_points
if subset is not None:
brush = [(QBrush(QColor(128, 128, 128, 0)),
QBrush(QColor(128, 128, 128, self.alpha_value)))[s]
for s in subset]
else:
brush = [QBrush(QColor(128, 128, 128))] * self.n_points
return pen, brush
c_data = self.original_data[color_index, self.valid_data]
if self.data_domain[color_index].is_continuous:
if self.pen_colors is None:
self.scale = DiscretizedScale(np.nanmin(c_data), np.nanmax(c_data))
c_data -= self.scale.offset
c_data /= self.scale.width
c_data = np.floor(c_data) + 0.5
c_data /= self.scale.bins
c_data = np.clip(c_data, 0, 1)
palette = self.continuous_palette
self.pen_colors = palette.getRGB(c_data)
self.brush_colors = np.hstack(
[self.pen_colors,
np.full((self.n_points, 1), self.alpha_value)])
self.pen_colors *= 100 / self.DarkerValue
self.pen_colors = [make_pen(QColor(*col), 1.5)
for col in self.pen_colors.tolist()]
if subset is not None:
self.brush_colors[:, 3] = 0
self.brush_colors[subset, 3] = self.alpha_value
else:
self.brush_colors[:, 3] = self.alpha_value
pen = self.pen_colors
brush = np.array([QBrush(QColor(*col))
for col in self.brush_colors.tolist()])
else:
if self.pen_colors is None:
palette = self.discrete_palette
n_colors = palette.number_of_colors
c_data = c_data.copy()
c_data[np.isnan(c_data)] = n_colors
c_data = c_data.astype(int)
colors = np.r_[palette.getRGB(np.arange(n_colors)),
[[128, 128, 128]]]
pens = np.array(
[make_pen(QColor(*col).darker(self.DarkerValue), 1.5)
for col in colors])
self.pen_colors = pens[c_data]
self.brush_colors = np.array([
[QBrush(QColor(0, 0, 0, 0)),
QBrush(QColor(col[0], col[1], col[2], self.alpha_value))]
for col in colors])
self.brush_colors = self.brush_colors[c_data]
if subset is not None:
brush = np.where(
subset,
self.brush_colors[:, 1], self.brush_colors[:, 0])
else:
brush = self.brush_colors[:, 1]
pen = self.pen_colors
return pen, brush
def update_colors(self, keep_colors=False):
if self.scatterplot_item:
pen_data, brush_data = self.compute_colors(keep_colors)
pen_data_sel, brush_data_sel = self.compute_colors_sel(keep_colors)
self.scatterplot_item.setPen(pen_data, update=False, mask=None)
self.scatterplot_item.setBrush(brush_data, mask=None)
self.scatterplot_item_sel.setPen(pen_data_sel, update=False, mask=None)
self.scatterplot_item_sel.setBrush(brush_data_sel, mask=None)
if not keep_colors:
self.make_legend()
if self.should_draw_density():
self.update_data(self.shown_x, self.shown_y)
elif self.density_img:
self.plot_widget.removeItem(self.density_img)
update_alpha_value = update_colors
def create_labels(self):
for x, y in zip(*self.scatterplot_item.getData()):
ti = TextItem()
self.plot_widget.addItem(ti)
ti.setPos(x, y)
self.labels.append(ti)
def update_labels(self):
if not self.attr_label:
for label in self.labels:
label.setText("")
return
if not self.labels:
self.create_labels()
label_column = self.raw_data.get_column_view(self.attr_label)[0]
formatter = self.raw_data.domain[self.attr_label].str_val
label_data = map(formatter, label_column)
black = pg.mkColor(0, 0, 0)
for label, text in zip(self.labels, label_data):
label.setText(text, black)
def get_shape_index(self):
shape_index = -1
attr_shape = self.attr_shape
if attr_shape and attr_shape != "(Same shape)" and \
len(self.data_domain[attr_shape].values) <= \
len(self.CurveSymbols):
shape_index = self.attribute_name_index[attr_shape]
return shape_index
def compute_symbols(self):
shape_index = self.get_shape_index()
if shape_index == -1:
shape_data = self.CurveSymbols[np.zeros(self.n_points, dtype=int)]
else:
shape_data = self.original_data[shape_index, self.valid_data]
shape_data[np.isnan(shape_data)] = len(self.CurveSymbols) - 1
shape_data = self.CurveSymbols[shape_data.astype(int)]
return shape_data
def update_shapes(self):
if self.scatterplot_item:
shape_data = self.compute_symbols()
self.scatterplot_item.setSymbol(shape_data)
self.make_legend()
def update_grid(self):
self.plot_widget.showGrid(x=self.show_grid, y=self.show_grid)
def update_legend(self):
if self.legend:
self.legend.setVisible(self.show_legend)
def create_legend(self):
self.legend = LegendItem()
self.legend.setParentItem(self.plot_widget.getViewBox())
self.legend.anchor(*self.__legend_anchor)
def remove_legend(self):
if self.legend:
anchor = legend_anchor_pos(self.legend)
if anchor is not None:
self.__legend_anchor = anchor
self.legend.setParent(None)
self.legend = None
if self.color_legend:
anchor = legend_anchor_pos(self.color_legend)
if anchor is not None:
self.__color_legend_anchor = anchor
self.color_legend.setParent(None)
self.color_legend = None
def make_legend(self):
self.remove_legend()
self.make_color_legend()
self.make_shape_legend()
self.update_legend()
def make_color_legend(self):
color_index = self.get_color_index()
if color_index == -1:
return
color_var = self.data_domain[color_index]
use_shape = self.get_shape_index() == color_index
if color_var.is_discrete:
if not self.legend:
self.create_legend()
palette = self.discrete_palette
for i, value in enumerate(color_var.values):
color = QColor(*palette.getRGB(i))
brush = color.lighter(self.DarkerValue)
self.legend.addItem(
ScatterPlotItem(
pen=color, brush=brush, size=10,
symbol=self.CurveSymbols[i] if use_shape else "o"),
escape(value))
else:
legend = self.color_legend = LegendItem()
legend.setParentItem(self.plot_widget.getViewBox())
legend.anchor(*self.__color_legend_anchor)
label = PaletteItemSample(self.continuous_palette, self.scale)
legend.addItem(label, "")
legend.setGeometry(label.boundingRect())
def make_shape_legend(self):
shape_index = self.get_shape_index()
if shape_index == -1 or shape_index == self.get_color_index():
return
if not self.legend:
self.create_legend()
shape_var = self.data_domain[shape_index]
color = self.plot_widget.palette().color(OWPalette.Data)
pen = QPen(color.darker(self.DarkerValue))
color.setAlpha(self.alpha_value)
for i, value in enumerate(shape_var.values):
self.legend.addItem(
ScatterPlotItem(pen=pen, brush=color, size=10,
symbol=self.CurveSymbols[i]), escape(value))
def propagate_region_of_interest(self):
"""
Checks whether the graph shows new data. E.g. whether the user
selected new attributes or zoomed in. Communicate this to the widget
so the widget can pull data for the visualization at hand.
TODO:
- Add this function to the proper hooks. Currently it is only
in mouseMoved.
- Better support for caching the shown_data, this is a bit of a hack.
"""
if not hasattr(self, 'shown_data'):
self.shown_data = {}
axis_bottom = self.plot_widget.getAxis('bottom')
axis_left = self.plot_widget.getAxis('left')
shown_data_new = {
self.shown_x: axis_bottom.range,
self.shown_y: axis_left.range,
}
if not shown_data_new == self.shown_data:
print("New data shown", shown_data_new)
self.shown_data = shown_data_new
self.master.set_region_of_interest(self.shown_data)
#self.scatterWidget.data.set_region_of_interest(self.shown_data)
#print(type(axis_bottom))
#<class 'pyqtgraph.graphicsItems.AxisItem.AxisItem'>
#print(type(self.plot))
#<class 'pyqtgraph.graphicsItems.PlotItem.PlotItem.PlotItem'>
# noinspection PyPep8Naming
def mouseMoved(self, pos):
# Propagate the region_of_interest to the widget.
self.propagate_region_of_interest()
# Removed things that were removed by biolab.
def zoom_button_clicked(self):
self.plot_widget.getViewBox().setMouseMode(
self.plot_widget.getViewBox().RectMode)
def pan_button_clicked(self):
self.plot_widget.getViewBox().setMouseMode(
self.plot_widget.getViewBox().PanMode)
def select_button_clicked(self):
self.plot_widget.getViewBox().setMouseMode(
self.plot_widget.getViewBox().RectMode)
def reset_button_clicked(self):
self.update_data(self.shown_x, self.shown_y, reset_view=True) # also redraw density image
# self.view_box.autoRange()
def select_by_click(self, _, points):
if self.scatterplot_item is not None:
self.select(points)
def select_by_rectangle(self, value_rect):
if self.scatterplot_item is not None:
points = [point
for point in self.scatterplot_item.points()
if value_rect.contains(QPointF(point.pos()))]
self.select(points)
def unselect_all(self):
self.selection = None
self.update_colors(keep_colors=True)
self.master.selection_changed()
def select(self, points):
# noinspection PyArgumentList
if self.raw_data is None:
return
keys = QApplication.keyboardModifiers()
if self.selection is None or not keys & (
Qt.ShiftModifier + Qt.ControlModifier + Qt.AltModifier):
self.selection = np.full(len(self.raw_data), False, dtype=np.bool)
indices = [p.data() for p in points]
if keys & Qt.AltModifier:
self.selection[indices] = False
elif keys & Qt.ControlModifier:
self.selection[indices] = ~self.selection[indices]
else: # Handle shift and no modifiers
self.selection[indices] = True
self.update_colors(keep_colors=True)
self.master.selection_changed()
def get_selection(self):
if self.selection is None:
return np.array([], dtype=int)
else:
return np.flatnonzero(self.selection)
def set_palette(self, p):
self.plot_widget.setPalette(p)
def save_to_file(self, size):
pass
def help_event(self, event):
if self.scatterplot_item is None:
return False
act_pos = self.scatterplot_item.mapFromScene(event.scenePos())
points = self.scatterplot_item.pointsAt(act_pos)
text = ""
if len(points):
for i, p in enumerate(points):
index = p.data()
text += "Attributes:\n"
if self.tooltip_shows_all and \
len(self.data_domain.attributes) < 30:
text += "".join(
' {} = {}\n'.format(attr.name,
self.raw_data[index][attr])
for attr in self.data_domain.attributes)
else:
text += ' {} = {}\n {} = {}\n'.format(
self.shown_x, self.raw_data[index][self.shown_x],
self.shown_y, self.raw_data[index][self.shown_y])
if self.tooltip_shows_all:
text += " ... and {} others\n\n".format(
len(self.data_domain.attributes) - 2)
if self.data_domain.class_var:
text += 'Class:\n {} = {}\n'.format(
self.data_domain.class_var.name,
self.raw_data[index][self.raw_data.domain.class_var])
if i < len(points) - 1:
text += '------------------\n'
text = ('<span style="white-space:pre">{}</span>'
.format(escape(text)))
QToolTip.showText(event.screenPos(), text, widget=self.plot_widget)
return True
else:
return False
