Python patches.Rectangle方法代碼示例

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def _plot_box_with_label(self, time_start, time_end,
                             n_qubit_start, n_qubit_end, label, **kwargs):
        """
        Parameters
        ----------
        time_start : float
        time_end : float
        n_qubit_start : int
        n_qubit_end : int
        label : str
        kwargs
        """
        box_y = n_qubit_start - 0.5 * _golden_mean
        box_dy = n_qubit_end - n_qubit_start + _golden_mean
        box_x = time_start + 0.5*self.gate_offset
        box_dx = time_end - time_start - self.gate_offset

        rect = Rectangle((box_x, box_y), box_dx, box_dy,
                         **kwargs)
        self.ax.add_patch(rect)
        if label is not None:
            self.ax.text(box_x + 0.5 * box_dx, box_y + 0.5 * box_dy,
                         label, ha='center', va='center',
                         zorder=self.zorders['text']) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def test_SquareElectrode():
    with pytest.raises(TypeError):
        SquareElectrode(0, 0, 0, [1, 2])
    with pytest.raises(TypeError):
        SquareElectrode(0, np.array([0, 1]), 0, 1)
    # Invalid radius:
    with pytest.raises(ValueError):
        SquareElectrode(0, 0, 0, -5)
    # Check params:
    electrode = SquareElectrode(0, 1, 2, 100)
    npt.assert_almost_equal(electrode.x, 0)
    npt.assert_almost_equal(electrode.y, 1)
    npt.assert_almost_equal(electrode.z, 2)
    npt.assert_almost_equal(electrode.a, 100)
    # Slots:
    npt.assert_equal(hasattr(electrode, '__slots__'), True)
    npt.assert_equal(hasattr(electrode, '__dict__'), False)
    # Plots:
    ax = electrode.plot()
    npt.assert_equal(len(ax.texts), 0)
    npt.assert_equal(len(ax.patches), 1)
    npt.assert_equal(isinstance(ax.patches[0], Rectangle), True) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def __init__(self, x, y, z):
        if isinstance(x, (Sequence, np.ndarray)):
            raise TypeError("x must be a scalar, not %s." % (type(x)))
        if isinstance(y, (Sequence, np.ndarray)):
            raise TypeError("y must be a scalar, not %s." % type(y))
        if isinstance(z, (Sequence, np.ndarray)):
            raise TypeError("z must be a scalar, not %s." % type(z))
        self.x = x
        self.y = y
        self.z = z
        # A matplotlib.patches object (e.g., Circle, Rectangle) that can be
        # used to plot the electrode:
        self.plot_patch = None
        # Any keyword arguments that should be passed to the call above:
        # (e.g., {'radius': 5}):
        self.plot_kwargs = {} 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def draw_boxes(filename, v_boxes, v_labels, v_scores, output_photo_name):
	# load the image
	data = pyplot.imread(filename)
	# plot the image
	pyplot.imshow(data)
	# get the context for drawing boxes
	ax = pyplot.gca()
	# plot each box
	for i in range(len(v_boxes)):
		box = v_boxes[i]
		# get coordinates
		y1, x1, y2, x2 = box.ymin, box.xmin, box.ymax, box.xmax
		# calculate width and height of the box
		width, height = x2 - x1, y2 - y1
		# create the shape
		rect = Rectangle((x1, y1), width, height, fill=False, color='white')
		# draw the box
		ax.add_patch(rect)
		# draw text and score in top left corner
		label = "%s (%.3f)" % (v_labels[i], v_scores[i])
		pyplot.text(x1, y1, label, color='white')
	# show the plot
	#pyplot.show()	
	pyplot.savefig(output_photo_name) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def box2rect(self, box2d):
        """generate individual bounding box from label"""
        x1 = box2d['x1']
        y1 = box2d['y1']
        x2 = box2d['x2']
        y2 = box2d['y2']

        # Pick random color for each box
        box_color = random_color()

        # Draw and add one box to the figure
        return mpatches.Rectangle(
            (x1, y1), x2 - x1, y2 - y1,
            linewidth=3 * self.scale, edgecolor=box_color, facecolor='none',
            fill=False, alpha=0.75
        ) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def show_img(img, object_lb_x1, object_lb_y1, object_width, object_height):
    fig, ax = plt.subplots(1)
    ax.imshow(img)
    rect = patches.Rectangle(
        (object_lb_x1, object_lb_y1),
        object_width,
        object_height,
        linewidth=1,
        edgecolor='r',
        facecolor='none'
    )
    ax.add_patch(rect)
    plt.show()

# CHeck for the case 3_11_20 is in 3_11_n

# This method converts the specific obj_class to the common one
# using traffic_sign_classes data structure. 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def __init__(self, transform, size, label, loc,
                 pad=0.1, borderpad=0.1, sep=2, prop=None, frameon=True,
                 **kwargs):
        """
        Draw a horizontal bar with the size in data coordinate of the give axes.
        A label will be drawn underneath (center-aligned).

        pad, borderpad in fraction of the legend font size (or prop)
        sep in points.
        """
        self.size_bar = AuxTransformBox(transform)
        self.size_bar.add_artist(Rectangle((0,0), size, 0, fc="none"))

        self.txt_label = TextArea(label, minimumdescent=False)

        self._box = VPacker(children=[self.size_bar, self.txt_label],
                            align="center",
                            pad=0, sep=sep)

        AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,
                                   child=self._box,
                                   prop=prop,
                                   frameon=frameon, **kwargs) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def _gen_axes_patch(self):
        """
        Returns
        -------
        Patch
            The patch used to draw the background of the axes.  It is also used
            as the clipping path for any data elements on the axes.

            In the standard axes, this is a rectangle, but in other projections
            it may not be.

        Notes
        -----
        Intended to be overridden by new projection types.
        """
        return mpatches.Rectangle((0.0, 0.0), 1.0, 1.0) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def read_JSON_file(f):
    
    with open(f, 'r') as g:
        d = json.loads(g.read())
    
    img_paths = [x['file_name'] for x in d['images']]
    
    rects = [{'bbox': x['segmentation'][0], 'class': x['category_id'], 'image_id': x['image_id']} for x in d['annotations']]
    
    annotations = defaultdict(list)
    
    for rect in rects:
        r = rect['bbox']
        x0, y0 = min(r[0], r[2], r[4], r[6]), min(r[1], r[3], r[5], r[7])
        x1, y1 = max(r[0], r[2], r[4], r[6]), max(r[1], r[3], r[5], r[7])
        
        r = patches.Rectangle((x0,y0),x1-x0,y1-y0,linewidth=1,edgecolor='g',facecolor='g', alpha=0.4)        
        
        annotations[img_paths[rect['image_id']]].append({'bbox': r, 'cls': d['classes'][rect['class']-1]})
        
    return d['classes'], img_paths, annotations 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def plot_renko(ax, bricks):

    ymax = max(bricks) 
    ymin = min(np.absolute(bricks))
    width = 1.0 / len(bricks)
    prev_height = 0
    for index, brick in enumerate(bricks):
        facecolor = 'red' if brick > 0 else 'green'
        ypos = (abs(brick) - ymin) / (ymax - ymin)
        if index == len(bricks)-1:
            pass
        elif bricks[index] == bricks[index+1]:
            height = prev_height
        else:
            aux1 = (abs(bricks[index+1]) - ymin) / (ymax - ymin)
            height = abs(aux1 - ypos)
            prev_height = height
        rect = Rectangle((index * width, ypos), width, height,
                         facecolor=facecolor, alpha=0.5)
        ax.add_patch(rect)
    pass 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def show_frame(self):
        self.capture.set(cv2.CAP_PROP_POS_FRAMES, self.current_frame_num)
        _, frame = self.capture.read()
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        self.ax.imshow(frame)

        if self.is_recording:
            current_width = self.br_record[0] - self.tl_record[0]
            current_height = self.br_record[1] - self.tl_record[1]
            self.rect_patch = patches.Rectangle(self.tl_record,
                current_width, current_height,
                linewidth=1, edgecolor='r', facecolor='none')
            self.ax.add_patch(self.rect_patch)

        plt.draw()


    # Function called when left mouse button is clicked and released. 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def on_press(event):
    if event.inaxes != GSel.ax: return
    GSel.pressed = True
    GSel.xs, GSel.ys = event.xdata, event.ydata
    #print 'PRESS button=%d, x=%d, y=%d, xdata=%f, ydata=%f' % (
    #        event.button, event.x, event.y, event.xdata, event.ydata)
    if hasattr(GSel, 'r'):
        GSel.r.set_height(0); GSel.r.set_width(0)
        GSel.r.set_xy((GSel.xs,GSel.ys))
        GSel.e.height = 0; GSel.e.width = 0
        GSel.e.center = (GSel.xs,GSel.ys)
    else:
        GSel.r = Rectangle(xy=(GSel.xs,GSel.ys), height=0, width=0, 
                fill=False, lw=2, alpha=0.6, color='blue')
        GSel.e = Ellipse(xy=(GSel.xs,GSel.ys), height=0, width=0, 
                fill=False, lw=2, alpha=0.6, color='blue')
        GSel.ax.add_artist(GSel.r)
        GSel.r.set_clip_box(GSel.ax.bbox); GSel.r.set_zorder(10)
        GSel.ax.add_artist(GSel.e)
        GSel.e.set_clip_box(GSel.ax.bbox); GSel.e.set_zorder(10)
    GSel.fig.canvas.draw()
    GSel.id_motion = GSel.fig.canvas.mpl_connect('motion_notify_event', 
            on_motion) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def on_press_draw(self):
        if 'r' in self.__dict__:
            self.r.set_height(0)
            self.r.set_width(0)
            self.r.set_xy((self.xs, self.ys))
            self.e.height = 0
            self.e.width = 0
            self.e.center = (self.xs, self.ys)
        else:
            self.r = Rectangle(xy=(self.xs, self.ys), height=0, width=0,
                               fill=False, lw=2, alpha=0.5, color='blue')
            self.e = Ellipse(xy=(self.xs, self.ys), height=0, width=0,
                    fill=False, lw=2, alpha=0.6, color='blue')
            self.ax.add_artist(self.r)
            self.ax.add_artist(self.e)
            self.r.set_clip_box(self.ax.bbox)
            self.r.set_zorder(10)
            self.e.set_clip_box(self.ax.bbox)
            self.e.set_zorder(10) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def _plot_bursts(d, i, tmin_clk, tmax_clk, pmax=1e3, pmin=0, color="#999999",
                 ytext=20):
    """Highlights bursts in a timetrace plot."""
    b = d.mburst[i]
    if b.num_bursts == 0:
        return
    burst_mask = (tmin_clk < b.start) * (b.start < tmax_clk)
    bs = b[burst_mask]
    burst_indices = np.where(burst_mask)[0]
    start = bs.start * d.clk_p
    end = bs.stop * d.clk_p
    R = []
    width = end - start
    ax = gca()
    for b, bidx, s, w, sign, va in zip(bs, burst_indices, start, width,
                                       cycle([-1, 1]),
                                       cycle(['top', 'bottom'])):
        r = Rectangle(xy=(s, pmin), height=pmax - pmin, width=w)
        r.set_clip_box(ax.bbox)
        r.set_zorder(0)
        R.append(r)
        ax.text(s, sign * ytext, _burst_info(d, i, bidx), fontsize=6, rotation=45,
                horizontalalignment='center', va=va)
    ax.add_artist(PatchCollection(R, lw=0, color=color)) 

# 需要導入模塊: from matplotlib import patches [as 別名]
# 或者: from matplotlib.patches import Rectangle [as 別名]
def UpdateImage(x, y):
    if(type(x) == None.__class__ or type(x) == None.__class__):
        return
    x = int(round(x))
    y = int(round(y))
    image_y = -(y + 1)
    if (image_y - 2) < 0 or image_y >= image_height or (x + 2) >= image_width:
        return

    axes.add_patch(patches.Rectangle((x , y), 3, 3))
    plt.draw()

    image[image_y][x] = image[image_y][x + 1] = image[image_y][x + 2] = gray
    image[image_y - 1][x] = image[image_y - 1][x + 1] = image[image_y - 1][x + 2] = gray    
    image[image_y - 2 ][x] = image[image_y - 2][x + 1] = image[image_y - 2][x + 2] = gray