Python Path.CLOSEPOLY属性代码示例

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def poly2patch(self, poly2d, closed=False, alpha=1., color=None):
        moves = {'L': Path.LINETO,
                 'C': Path.CURVE4}
        points = [p[:2] for p in poly2d]
        codes = [moves[p[2]] for p in poly2d]
        codes[0] = Path.MOVETO

        if closed:
            points.append(points[0])
            if codes[-1] == 4:
                codes.append(Path.LINETO)
            else:
                codes.append(Path.CLOSEPOLY)

        if color is None:
            color = random_color()

        # print(codes, points)
        return mpatches.PathPatch(
            Path(points, codes),
            facecolor=color if closed else 'none',
            edgecolor=color,  # if not closed else 'none',
            lw=1 if closed else 2 * self.scale, alpha=alpha,
            antialiased=False, snap=True) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def poly2patch(self, poly2d, closed=False, alpha=1., color=None):
        moves = {'L': Path.LINETO,
                 'C': Path.CURVE4}
        points = [p[:2] for p in poly2d]
        codes = [moves[p[2]] for p in poly2d]
        codes[0] = Path.MOVETO

        if closed:
            points.append(points[0])
            codes.append(Path.CLOSEPOLY)

        if color is None:
            color = random_color()

        # print(codes, points)
        return mpatches.PathPatch(
            Path(points, codes),
            facecolor=color if closed else 'none',
            edgecolor=color,  # if not closed else 'none',
            lw=1 if closed else 2 * self.scale, alpha=alpha,
            antialiased=False, snap=True) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def get_path(self):
       x0, y0, x1, y1 = self.bbox.extents

       verts = [(x0, y0),
                (x1, y0),
                (x1, y1),
                (x0, y1),
                (x0, y0),
                (0,0)]

       codes = [Path.MOVETO,
                Path.LINETO,
                Path.LINETO,
                Path.LINETO,
                Path.LINETO,
                Path.CLOSEPOLY]

       return Path(verts, codes) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def _append_path(ctx, path, transform, clip=None):
    for points, code in path.iter_segments(
            transform, remove_nans=True, clip=clip):
        if code == Path.MOVETO:
            ctx.move_to(*points)
        elif code == Path.CLOSEPOLY:
           ctx.close_path()
        elif code == Path.LINETO:
            ctx.line_to(*points)
        elif code == Path.CURVE3:
            cur = np.asarray(ctx.get_current_point())
            a = points[:2]
            b = points[-2:]
            ctx.curve_to(*(cur / 3 + a * 2 / 3), *(a * 2 / 3 + b / 3), *b)
        elif code == Path.CURVE4:
            ctx.curve_to(*points) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def transmute(self, path, mutation_size, linewidth):

            x0, y0, x1, y1, x2, y2 = self.ensure_quadratic_bezier(path)

            arrow_path = [(x0, y0), (x1, y1), (x2, y2)]
            b_plus, b_minus = make_wedged_bezier2(
                                    arrow_path,
                                    self.tail_width * mutation_size / 2.,
                                    wm=self.shrink_factor)

            patch_path = [(Path.MOVETO, b_plus[0]),
                          (Path.CURVE3, b_plus[1]),
                          (Path.CURVE3, b_plus[2]),
                          (Path.LINETO, b_minus[2]),
                          (Path.CURVE3, b_minus[1]),
                          (Path.CURVE3, b_minus[0]),
                          (Path.CLOSEPOLY, b_minus[0]),
                          ]
            path = Path([p for c, p in patch_path], [c for c, p in patch_path])

            return path, True 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def test_clipping_of_log():
    # issue 804
    M,L,C = Path.MOVETO, Path.LINETO, Path.CLOSEPOLY
    points = [ (0.2, -99), (0.4, -99), (0.4, 20), (0.2, 20), (0.2, -99) ]
    codes  = [          M,          L,        L,         L,          C  ]
    path = Path(points, codes)

    # something like this happens in plotting logarithmic histograms
    trans = BlendedGenericTransform(Affine2D(),
                                    LogScale.Log10Transform('clip'))
    tpath = trans.transform_path_non_affine(path)
    result = tpath.iter_segments(trans.get_affine(),
                                 clip=(0, 0, 100, 100),
                                 simplify=False)

    tpoints, tcodes = list(zip(*result))
    # Because y coordinate -99 is outside the clip zone, the first
    # line segment is effectively removed. That means that the closepoly
    # operation must be replaced by a move to the first point.
    assert np.allclose(tcodes, [ M, M, L, L, L ]) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def _append_paths_slow(ctx, paths, transforms, clip=None):
    for path, transform in zip(paths, transforms):
        for points, code in path.iter_segments(transform, clip=clip):
            if code == Path.MOVETO:
                ctx.move_to(*points)
            elif code == Path.CLOSEPOLY:
                ctx.close_path()
            elif code == Path.LINETO:
                ctx.line_to(*points)
            elif code == Path.CURVE3:
                cur = ctx.get_current_point()
                ctx.curve_to(
                    *np.concatenate([cur / 3 + points[:2] * 2 / 3,
                                     points[:2] * 2 / 3 + points[-2:] / 3]))
            elif code == Path.CURVE4:
                ctx.curve_to(*points) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def polygon(pts, img_shape):
    # codes = [Path.MOVETO,
    #          Path.LINETO,
    #          Path.LINETO,
    #          Path.LINETO,
    #          Path.CLOSEPOLY,
    #          ]
    x, y = np.meshgrid(np.arange(img_shape[0]), np.arange(img_shape[1]))
    x, y = x.flatten(), y.flatten()

    points = np.vstack((x, y)).T

    path = Path(pts)
    grid = path.contains_points(points)
    mask = grid.reshape((img_shape[0], img_shape[1]))
    # y, x = np.where(grid)
    return mask 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def svg_parse(path):
    commands = {'M': (Path.MOVETO,),
                'L': (Path.LINETO,),
                'Q': (Path.CURVE3,)*2,
                'C': (Path.CURVE4,)*3,
                'Z': (Path.CLOSEPOLY,)}
    path_re = re.compile(r'([MLHVCSQTAZ])([^MLHVCSQTAZ]+)', re.IGNORECASE)
    float_re = re.compile(r'(?:[\s,]*)([+-]?\d+(?:\.\d+)?)')
    vertices = []
    codes = []
    last = (0, 0)
    for cmd, values in path_re.findall(path):
        points = [float(v) for v in float_re.findall(values)]
        points = np.array(points).reshape((len(points)//2, 2))
        if cmd.islower():
            points += last
        cmd = cmd.capitalize()
        last = points[-1]
        codes.extend(commands[cmd])
        vertices.extend(points.tolist())
    return codes, vertices

# SVG to matplotlib 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def _append_paths_slow(ctx, paths, transforms, clip=None):
    for path, transform in zip(paths, transforms):
        for points, code in path.iter_segments(
                transform, remove_nans=True, clip=clip):
            if code == Path.MOVETO:
                ctx.move_to(*points)
            elif code == Path.CLOSEPOLY:
                ctx.close_path()
            elif code == Path.LINETO:
                ctx.line_to(*points)
            elif code == Path.CURVE3:
                cur = np.asarray(ctx.get_current_point())
                a = points[:2]
                b = points[-2:]
                ctx.curve_to(*(cur / 3 + a * 2 / 3), *(a * 2 / 3 + b / 3), *b)
            elif code == Path.CURVE4:
                ctx.curve_to(*points) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def test_clipping_of_log():
    # issue 804
    M, L, C = Path.MOVETO, Path.LINETO, Path.CLOSEPOLY
    points = [(0.2, -99), (0.4, -99), (0.4, 20), (0.2, 20), (0.2, -99)]
    codes = [M, L, L, L, C]
    path = Path(points, codes)

    # something like this happens in plotting logarithmic histograms
    trans = mtransforms.BlendedGenericTransform(mtransforms.Affine2D(),
                                            LogScale.Log10Transform('clip'))
    tpath = trans.transform_path_non_affine(path)
    result = tpath.iter_segments(trans.get_affine(),
                                 clip=(0, 0, 100, 100),
                                 simplify=False)

    tpoints, tcodes = zip(*result)
    assert_allclose(tcodes, [M, L, L, L, C]) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def test_transformed_path():
    points = [(0, 0), (1, 0), (1, 1), (0, 1)]
    codes = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY]
    path = Path(points, codes)

    trans = mtransforms.Affine2D()
    trans_path = mtransforms.TransformedPath(path, trans)
    assert_allclose(trans_path.get_fully_transformed_path().vertices, points)

    # Changing the transform should change the result.
    r2 = 1 / np.sqrt(2)
    trans.rotate(np.pi / 4)
    assert_allclose(trans_path.get_fully_transformed_path().vertices,
                    [(0, 0), (r2, r2), (0, 2 * r2), (-r2, r2)],
                    atol=1e-15)

    # Changing the path does not change the result (it's cached).
    path.points = [(0, 0)] * 4
    assert_allclose(trans_path.get_fully_transformed_path().vertices,
                    [(0, 0), (r2, r2), (0, 2 * r2), (-r2, r2)],
                    atol=1e-15) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def test_customcell():
    types = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
    codes = (
        (Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
        (Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO),
        (Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
        (Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY),
        (Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
        (Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO),
        (Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
        (Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO),
        )

    for t, c in zip(types, codes):
        cell = CustomCell((0, 0), visible_edges=t, width=1, height=1)
        code = tuple(s for _, s in cell.get_path().iter_segments())
        assert c == code 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def DrawShapeFile(area):
        """
        在画布上绘制shp文件
        :param area: 包含shp文件名及线宽和线颜色的一个字典
        :return: 
        """
        try:
            shpfile = area.file
            border_shape = shapefile.Reader(shpfile)
            border = border_shape.shapes()
            for b in border:
                border_points = b.points
                path_data = []
                count = 0
                for cell in border_points:
                    if count == 0:
                        trans = (Path.MOVETO, (cell[0], cell[1]))
                        path_data += [trans]
                        cell_end = cell
                    else:
                        trans = (Path.CURVE4, (cell[0], cell[1]))
                        path_data += [trans]
                trans = (Path.CLOSEPOLY, (cell_end[0], cell_end[1]))
                path_data += [trans]

                codes, verts = list(zip(*path_data))
                path = Path(verts, codes)
                x, y = list(zip(*path.vertices))
                plt.plot(x, y, 'k-', linewidth=area.linewidth, color=area.linecolor)
        except Exception as err:
            print(u'【{0}】{1}-{2}'.format(area['file'], err, datetime.now())) 

# 需要导入模块: from matplotlib.path import Path [as 别名]
# 或者: from matplotlib.path.Path import CLOSEPOLY [as 别名]
def getPathFromShp(shpfile, region):
    try:
        sf = shapefile.Reader(shpfile)
        vertices = []  # 这块是已经修改的地方
        codes = []  # 这块是已经修改的地方
        paths = []
        for shape_rec in sf.shapeRecords():
            # if shape_rec.record[3] == region:  # 这里需要找到和region匹配的唯一标识符，record[]中必有一项是对应的。
            if region == [100000] or shape_rec.record[4] in region:  # 这块是已经修改的地方
                pts = shape_rec.shape.points
                prt = list(shape_rec.shape.parts) + [len(pts)]
                for i in range(len(prt) - 1):
                    for j in range(prt[i], prt[i + 1]):
                        vertices.append((pts[j][0], pts[j][1]))
                    codes += [Path.MOVETO]
                    codes += [Path.LINETO] * (prt[i + 1] - prt[i] - 2)
                    codes += [Path.CLOSEPOLY]
                path = Path(vertices, codes)
                paths.append(path)
        if paths:
            path = Path.make_compound_path(*paths)
        else:
            path = None
        return path
    except Exception as err:
        print(err)
        return None