Exemplo n.º 1
0
    def run(self):
        """ Create original line, movable line, background "line" (just points),
        and fitted curve lines. Create figure and subplot, register the callbacks,
        and show the plot.

        The movable line and the curve lines are in the regions.
        """
        rcParams["keymap.quit"] = ["ctrl+w", "cmd+w"]  # Changes matplotlib's default quit keys
        self._process_args()
        self._io_manager = io.Manager(self._args)
        # Read the data sets outside of Regions so we can discover the x, y
        # range of the data to use for the initial GUI size:
        self._input_data_sets = self._io_manager.get_movable_data_sets()
        self._background_data_sets = self._io_manager.get_background_data_sets()
        self._setup_GUI()
        self._regions = regions.Regions(
            ax=self._ax,
            args=self._args,
            input_data_sets=self._input_data_sets,
            xy_limits=self._xy_limits,
            io_manager=self._io_manager)
        self._register_callbacks()
        # Create rectangle selector for selecting multiple points
        self._selector = widgets.RectangleSelector(self._ax, self.line_select_callback,
                                                   drawtype='box', useblit=True,
                                                   button=[1, 3],  # don't use middle button
                                                   spancoords='pixels')
        self._selector.set_active(False)

        # Main routine: display all figures and block until all figures have
        # been closed:
        pyplot.show()
Exemplo n.º 2
0
def test_rectangle_resize_square_center_aspect(use_data_coordinates):
    ax = get_ax()
    ax.set_aspect(0.8)

    def onselect(epress, erelease):
        pass

    tool = widgets.RectangleSelector(ax, onselect, interactive=True,
                                     use_data_coordinates=use_data_coordinates)
    # Create rectangle
    click_and_drag(tool, start=(70, 65), end=(120, 115))
    assert tool.extents == (70.0, 120.0, 65.0, 115.0)
    tool.add_state('square')
    tool.add_state('center')

    if use_data_coordinates:
        # resize E handle
        extents = tool.extents
        xdata, ydata, width = extents[1], extents[3], extents[1] - extents[0]
        xdiff, ycenter = 10,  extents[2] + (extents[3] - extents[2]) / 2
        xdata_new, ydata_new = xdata + xdiff, ydata
        ychange = width / 2 + xdiff
        click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
        assert_allclose(tool.extents, [extents[0] - xdiff, xdata_new,
                                       ycenter - ychange, ycenter + ychange])
    else:
        # resize E handle
        extents = tool.extents
        xdata, ydata = extents[1], extents[3]
        xdiff = 10
        xdata_new, ydata_new = xdata + xdiff, ydata
        ychange = xdiff * 1 / tool._aspect_ratio_correction
        click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
        assert_allclose(tool.extents, [extents[0] - xdiff, xdata_new,
                                       46.25, 133.75])
Exemplo n.º 3
0
    def __init__(self, ax=None):
        if ax is None:
            self.ax = plt.gca()
        else:
            self.ax = ax

        self.width = self.ax.get_xlim()[1]
        self.height = self.ax.get_ylim()[1]

        # create the widget for selecting the range
        useblit = backend.supports_blitting()
        self.selector = \
                widgets.RectangleSelector(self.ax, self.select_callback,
                                          drawtype='box',
                                          useblit=useblit,
                                          button=[1]) # left button

        # the rectangle marking the selected area
        self.selected = None
        self.selected_marker = patches.Rectangle((0, -5),
                                                 0,
                                                 0,
                                                 color='y',
                                                 alpha=0.5)
        self.ax.add_patch(self.selected_marker)
Exemplo n.º 4
0
    def __init__(self,
                 zoomable_backend,
                 viewer,
                 min_zoom_width=10,
                 min_zoom_height=10):
        """
        Constructor

        Parameters :
          * renderer - The fractal renderer associated with the Zoom Functionality
          * viewer - The PlotPlayer instance used for playback
          * min_zoom_width (optional) - Minimum zoom box width
          * min_zoom_height (optional) - Minimum zoom box height
        """
        self._zoomable_backend = zoomable_backend
        self._viewer = viewer

        animation_axes = self._viewer.get_render_manager().get_animation_axes()
        self._zoom_box = widgets.RectangleSelector(animation_axes,
                                                   self.select_zoom_coords,
                                                   useblit=True,
                                                   minspanx=min_zoom_width,
                                                   minspany=min_zoom_height,
                                                   button=[_LEFT_MOUSE_BUTTON],
                                                   interactive=True)

        figure = viewer.get_window_manager().get_figure()
        figure.canvas.mpl_connect('button_press_event',
                                  self._handle_mouse_button_press)
        figure.canvas.mpl_connect('button_release_event',
                                  self._handle_mouse_button_release)
Exemplo n.º 5
0
def recMask():
    
    ax = plt.gca()
    lines = ax.get_lines()
    assert len(lines) == 1
    lines = lines[0]

    x,y = lines.get_data()

    def on_rectangle_select(event_press, event_release):
        'args the press and release events'
        x1, y1 = event_press.xdata, event_press.ydata
        x2, y2 = event_release.xdata, event_release.ydata
        print "RECT: (%3.2f, %3.2f) --> (%3.2f, %3.2f)" % (x1, y1, x2, y2)

        if x1>x2: 
            x1, x2 = x2, x1

        if y1>y2:
            y1, y2 = y2, y1

        mask = (x>=x1) & (x<=x2) & (y>=y1) & (y<=y2) 
        return mask

    rect_select = widgets.RectangleSelector(
        ax, on_rectangle_select, drawtype='box', useblit=True,
        button=[1,], # use left button
        minspanx=5, minspany=5, spancoords='pixels', 
        # ignore rects that are too small
        );
Exemplo n.º 6
0
def test_selector_clear_method(selector):
    ax = get_ax()

    def onselect(*args):
        pass

    if selector == 'span':
        tool = widgets.SpanSelector(ax, onselect, 'horizontal',
                                    interactive=True,
                                    ignore_event_outside=True)
    else:
        tool = widgets.RectangleSelector(ax, onselect, interactive=True)
    click_and_drag(tool, start=(10, 10), end=(100, 120))
    assert tool._selection_completed
    assert tool.visible
    if selector == 'span':
        assert tool.extents == (10, 100)

    tool.clear()
    assert not tool._selection_completed
    assert not tool.visible

    # Do another cycle of events to make sure we can
    click_and_drag(tool, start=(10, 10), end=(50, 120))
    assert tool._selection_completed
    assert tool.visible
    if selector == 'span':
        assert tool.extents == (10, 50)
Exemplo n.º 7
0
def selectRectangleROI(cube: pwsdt.ICBase, displayIndex: t_.Optional[int] = None) -> np.ndarray:
    """
    Allow the user to draw a rectangular ROI on an image of the acquisition.

    Args:
        displayIndex (int): is used to display a particular z-slice for mask drawing. If None then the mean along Z is displayed. Returns an array of vertices of the rectangle.

    Returns:
        np.ndarray: An array of the 4 XY vertices of the rectangle.
    """
    import warnings
    warnings.warn("This method has been moved to the `pwspy_gui.utility` module and will be removed in the future.",
                  category=DeprecationWarning)

    verts = [None]

    if displayIndex is None:
       displayIndex = cube.data.shape[2]//2
    fig, ax = plt.subplots()
    ax.imshow(cube.data[:, :, displayIndex])
    fig.suptitle("Close to accept ROI")

    def rectSelect(mins, maxes):
        verts[0] = ((mins.ydata, mins.xdata), (maxes.ydata, mins.xdata), (maxes.ydata, maxes.xdata), (mins.ydata, maxes.xdata))

    r = widgets.RectangleSelector(ax, rectSelect)
    fig.show()
    while plt.fignum_exists(fig.number):
        fig.canvas.flush_events()
    return np.array(verts[0])
Exemplo n.º 8
0
    def run(self):
        """ runs the kymograph aligner """
        # show the images
        self.fig = plt.figure()
        self.ax = plt.gca()
        plt.subplots_adjust(bottom=0.2)
        
        # prepare image to work with
        image = self.kymograph._make_image(self.kymograph.offsets)
        height, width = image.shape
        window = self.window_margin
        self.data = np.empty((height, width + 2*window), np.double) + np.nan
        self.data[:, window:width + window] = image
        
        self.image = self.ax.imshow(self.data, interpolation='none',
                                    aspect='auto', cmap=plt.get_cmap('gray'))
        self.ax.set_title(self.title)
        
        # internal data 
        self.active = True
        self.result = 'cancel'
        self._ax_points = None
        
        # create the widget for selecting the range
        useblit = graphics.backend_supports_blitting()
        self.selector = \
            widgets.RectangleSelector(self.ax, self.select_callback,
                                      drawtype='box',
                                      useblit=useblit,
                                      button=[1]) # only use the left button
            
        # the rectangle marking the selected area
        self.selected = slice(0, 0)
        self.selected_marker = patches.Rectangle((0, -5), self.data.shape[1], 0,
                                                 color='y', alpha=0.5)
        self.ax.add_patch(self.selected_marker)

        # add buttons
        ax_align = plt.axes([0.5, 0.05, 0.1, 0.075])
        bn_align = widgets.Button(ax_align, 'Align All')
        bn_align.on_clicked(self.clicked_align)

        ax_ok = plt.axes([0.7, 0.05, 0.1, 0.075])
        bn_ok = widgets.Button(ax_ok, 'Save')
        bn_ok.on_clicked(self.clicked_ok)

        ax_cancel = plt.axes([0.81, 0.05, 0.1, 0.075])
        bp_cancel = widgets.Button(ax_cancel, 'Cancel')
        bp_cancel.on_clicked(self.clicked_cancel)
        
        # initialize the interaction with the image
        self.fig.canvas.mpl_connect('key_release_event', self.key_callback)
        
        # process result
        plt.show()
        return self.result
Exemplo n.º 9
0
def interactive_ROI(info, directory_1):
    def on_key(event):
        global pass_accept
        if event.key == 'enter':
            pass_accept = False
            plt.close('all')

        elif event.key == 'backspace':
            pass_accept = True
            plt.close('all')

    def onselect(eclick, erelease):
        if eclick.ydata > erelease.ydata:
            eclick.ydata, erelease.ydata = erelease.ydata, eclick.ydata
        if eclick.xdata > erelease.xdata:
            eclick.xdata, erelease.xdata = erelease.xdata, eclick.xdata

        x[:] = eclick.xdata, erelease.xdata
        y[:] = erelease.ydata, erelease.ydata - erelease.xdata + eclick.xdata
        print('Press Enter to save or BACKSPACE to choose again')
        ax.set_xlim(min(x), max(x))
        ax.set_ylim(max(y), min(y))
        ax.axis('off')
        ax.set_yticklabels([])
        ax.set_xticklabels([])
        fig.canvas.mpl_connect("key_press_event", on_key)

    print('')
    print('----------------------- INTERACTIVE ROI -----------------------')
    while pass_accept:
        fig = plt.figure()
        ax = fig.add_subplot(111)
        print('Highlight the area of the ROI with the crusor')
        x, y = [], []
        rs = widgets.RectangleSelector(ax,
                                       onselect,
                                       drawtype='box',
                                       rectprops=dict(facecolor='red',
                                                      edgecolor='black',
                                                      alpha=0.2,
                                                      fill=True))

        ax.axis('off')
        ax.set_yticklabels([])
        ax.set_xticklabels([])
        plt.imshow(info)
        plt.show()

    zoom = info[int(np.min(y)):int(np.max(y)), int(np.min(x)):int(np.max(x))]
    corner_coord = (x, y)
    np.save(directory_1 + '/zoom_coord.npy',
            [corner_coord[0], corner_coord[1]])
    np.save(directory_1 + '/zoom.npy', zoom)

    return zoom, corner_coord
Exemplo n.º 10
0
def test_rect_visibility(fig_test, fig_ref):
    # Check that requesting an invisible selector makes it invisible
    ax_test = fig_test.subplots()
    _ = fig_ref.subplots()

    def onselect(verts):
        pass

    tool = widgets.RectangleSelector(ax_test, onselect,
                                     props={'visible': False})
    tool.extents = (0.2, 0.8, 0.3, 0.7)
Exemplo n.º 11
0
def test_legend_off():
    """For ellipse, test out the key modifiers"""
    (ax, legend) = create_plt_with_legend_off()

    def onselect(epress, erelease):
        pass

    tool = widgets.RectangleSelector(ax, onselect)

    do_event(tool, 'on_key_press', xdata=100, ydata=100, button=1, key='t')
    do_event(tool, 'on_key_release', xdata=100, ydata=100, button=1, key='t')
    assert legend.get_visible() == True
Exemplo n.º 12
0
 def measure_lines(self):
     """ shows an interface for measuring lines """
     # create the widget for selecting the range
     useblit = graphics.backend_supports_blitting()
     self.selector = \
         widgets.RectangleSelector(self.ax, self.select_callback,
                                   drawtype='line', lineprops=self.lineprops,
                                   useblit=useblit, button=[1])
         
     self.line = self.ax.plot([-1, -1], [-1, -1], **self.lineprops)[0]
         
     plt.show()
Exemplo n.º 13
0
    def __init__(self, ax):
        """Base class for interactively creating plans in a 2D bounding box.

        Parameters
        ----------
        ax : matplotlib.axes.Axes
            The axes to install the widget on
        """
        self.ax = ax
        self.widget = mwidgets.RectangleSelector(self.ax,
                                                 self._onselect,
                                                 useblit=True,
                                                 interactive=True)
        self._pt1 = self._pt2 = None
    def plotResModel(self, res_range=(0, 4), res_num=9):
        """
        plot the resistivity model with finite element mesh on and scale is
        in meters, which makes everything a lot easier to handle at the
        moment.

        """
        self._make_resisitivity_range(res_range[0], res_range[1], res_num)

        # call plot2DmModel to draw figure and plot mesh grid
        self.mesh_plot = self.plot2DModel(femesh="on", yscale="m")

        # connect to a button press event for changing resistivity values in
        # the plot
        self.cid = self.mesh_plot.ax.figure.canvas.mpl_connect(
            "button_press_event", self.get_mclick_xy
        )

        # connect to a key press event for changing resistivity values
        self.cid_pmres = self.mesh_plot.ax.figure.canvas.mpl_connect(
            "key_press_event", self.pmRes
        )

        # make a rectangular selector
        self.rect_selector = widgets.RectangleSelector(
            self.mesh_plot.ax, self.rect_onselect, drawtype="box", useblit=True
        )

        # make a radio boxe for changing the resistivity values easily
        self.radio_res_ax = self.mesh_plot.fig.add_axes(self.radio_res_loc)
        self.radio_res_labels = ["air", "sea"] + [
            "{0:.4g}".format(rr) for rr in self.res_range[2:]
        ]

        self.radio_res = widgets.RadioButtons(
            self.radio_res_ax, self.radio_res_labels, active=self.res_ii
        )
        self.radio_res.on_clicked(self.set_res_value)

        # calculate minimum block width
        self.mesh_width = np.min(
            [
                abs(om.meshx[0, ii + 1] - xx)
                for ii, xx in enumerate(self.meshx[0, 7:-7], 7)
            ]
        )

        self._caluculate_midpoints()
Exemplo n.º 15
0
def test_rectange_add_remove_set():
    ax = get_ax()

    def onselect(epress, erelease):
        pass

    tool = widgets.RectangleSelector(ax, onselect=onselect, interactive=True)
    # Draw rectangle
    click_and_drag(tool, start=(100, 100), end=(130, 140))
    assert tool.extents == (100, 130, 100, 140)
    assert len(tool._state) == 0
    for state in ['rotate', 'square', 'center']:
        tool.add_state(state)
        assert len(tool._state) == 1
        tool.remove_state(state)
        assert len(tool._state) == 0
Exemplo n.º 16
0
 def SelectRectangle(self):
     fig = plt.figure()
     ax = fig.add_subplot(111)
     plt_image = plt.imshow(self.PILImage)
     rs = widgets.RectangleSelector(ax,
                                    self.__onselect,
                                    drawtype='box',
                                    rectprops=dict(facecolor='red',
                                                   edgecolor='black',
                                                   alpha=0.2,
                                                   fill=True))
     plt.show(block=True)
     x = [np.int(rs.corners[0][0]), np.int(rs.corners[0][2])]
     y = [np.int(rs.corners[1][0]), np.int(rs.corners[1][2])]
     rect = np.array([x, y])
     return rs
Exemplo n.º 17
0
 def getTarget(self):
     print("start cropping")
     fig = plt.figure()
     fig.canvas.set_window_title('Select crop')
     ax = fig.add_subplot(111)
     filename = image_list[self.count]
     im = Image.open(filename)
     arr = np.asarray(im)
     plt_image = plt.imshow(arr)
     rs = widgets.RectangleSelector(ax,
                                    self.onselect,
                                    drawtype='box',
                                    rectprops=dict(facecolor='red',
                                                   edgecolor='black',
                                                   alpha=0.5,
                                                   fill=True))
     plt.show()
Exemplo n.º 18
0
def test_rectangle_add_state():
    ax = get_ax()

    def onselect(epress, erelease):
        pass

    tool = widgets.RectangleSelector(ax, onselect, interactive=True)
    # Create rectangle
    click_and_drag(tool, start=(70, 65), end=(125, 130))

    with pytest.raises(ValueError):
        tool.add_state('unsupported_state')

    with pytest.raises(ValueError):
        tool.add_state('clear')
    tool.add_state('move')
    tool.add_state('square')
    tool.add_state('center')
Exemplo n.º 19
0
def test_rectangle_selector_onselect(interactive):
    # check when press and release events take place at the same position
    ax = get_ax()

    def onselect(vmin, vmax):
        ax._got_onselect = True

    tool = widgets.RectangleSelector(ax, onselect, interactive=interactive)
    # move outside of axis
    click_and_drag(tool, start=(100, 110), end=(150, 120))

    assert tool.ax._got_onselect
    assert tool.extents == (100.0, 150.0, 110.0, 120.0)

    # Reset tool.ax._got_onselect
    tool.ax._got_onselect = False
    click_and_drag(tool, start=(10, 100), end=(10, 100))

    assert tool.ax._got_onselect
Exemplo n.º 20
0
def test_rectangle_resize():
    ax = get_ax()

    def onselect(epress, erelease):
        pass

    tool = widgets.RectangleSelector(ax, onselect, interactive=True)
    # Create rectangle
    click_and_drag(tool, start=(0, 10), end=(100, 120))
    assert tool.extents == (0.0, 100.0, 10.0, 120.0)

    # resize NE handle
    extents = tool.extents
    xdata, ydata = extents[1], extents[3]
    xdata_new, ydata_new = xdata + 10, ydata + 5
    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
    assert tool.extents == (extents[0], xdata_new, extents[2], ydata_new)

    # resize E handle
    extents = tool.extents
    xdata, ydata = extents[1], extents[2] + (extents[3] - extents[2]) / 2
    xdata_new, ydata_new = xdata + 10, ydata
    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
    assert tool.extents == (extents[0], xdata_new, extents[2], extents[3])

    # resize W handle
    extents = tool.extents
    xdata, ydata = extents[0], extents[2] + (extents[3] - extents[2]) / 2
    xdata_new, ydata_new = xdata + 15, ydata
    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
    assert tool.extents == (xdata_new, extents[1], extents[2], extents[3])

    # resize SW handle
    extents = tool.extents
    xdata, ydata = extents[0], extents[2]
    xdata_new, ydata_new = xdata + 20, ydata + 25
    click_and_drag(tool, start=(xdata, ydata), end=(xdata_new, ydata_new))
    assert tool.extents == (xdata_new, extents[1], ydata_new, extents[3])
Exemplo n.º 21
0
def test_rectangle_selector_ignore_outside(ignore_event_outside):
    ax = get_ax()
    def onselect(vmin, vmax):
        ax._got_onselect = True

    tool = widgets.RectangleSelector(ax, onselect,
                                     ignore_event_outside=ignore_event_outside)
    click_and_drag(tool, start=(100, 110), end=(150, 120))
    assert tool.ax._got_onselect
    assert tool.extents == (100.0, 150.0, 110.0, 120.0)

    # Reset
    ax._got_onselect = False
    # Trigger event outside of span
    click_and_drag(tool, start=(150, 150), end=(160, 160))
    if ignore_event_outside:
        # event have been ignored and span haven't changed.
        assert not ax._got_onselect
        assert tool.extents == (100.0, 150.0, 110.0, 120.0)
    else:
        # A new shape is created
        assert ax._got_onselect
        assert tool.extents == (150.0, 160.0, 150.0, 160.0)