def add_to_axes(self, axes=None, edgecolor='black', fill=False, plot_peaks=True): """Add 2 circles to the axes: one at the maximum and minimum radius of the ROI. See Also -------- CircleProfile.add_to_axes : Further parameter info. """ if axes is None: fig, axes = plt.subplots() axes.imshow(self.image_array) axes.add_patch( mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius * (1 + self.width_ratio), fill=fill)) axes.add_patch( mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius * (1 - self.width_ratio), fill=fill)) if plot_peaks: x_locs = [peak.x for peak in self.peaks] y_locs = [peak.y for peak in self.peaks] axes.autoscale(enable=False) axes.scatter(x_locs, y_locs, s=20, marker='x', c=edgecolor)
def add_to_axes(self, axes=None, edgecolor='black', fill=False, plot_peaks=True): """Plot to an axes. Parameters ---------- axes : matplotlib.Axes, None The axes to plot on. If None, will create a new figure of the image array. edgecolor : str Color of the Circle; must be a valid matplotlib color. fill : bool Whether to fill the circle. matplotlib keyword. plot_peaks : bool If True, plots the found peaks as well. """ if axes is None: fig, axes = plt.subplots() axes.imshow(self.image_array) axes.add_patch( mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius, fill=fill)) if plot_peaks: x_locs = [peak.x for peak in self.peaks] y_locs = [peak.y for peak in self.peaks] axes.autoscale(enable=False) axes.scatter(x_locs, y_locs, s=40, marker='x', c=edgecolor)
def to_mpl_patch(self): """ This function ... :return: """ return mpl_Circle((self.center.x, self.center.y), self.radius, edgecolor='green', facecolor='none', lw=3, alpha=0.7)
def plot2axes(self, axes=None, edgecolor='black', fill=False, plot_peaks=True): """Add 2 circles to the axes: one at the maximum and minimum radius of the ROI. See Also -------- :meth:`~pylinac.core.profile.CircleProfile.plot2axes` : Further parameter info. """ if axes is None: fig, axes = plt.subplots() axes.imshow(self.image_array) axes.add_patch(mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius*(1+self.width_ratio), fill=fill)) axes.add_patch(mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius*(1-self.width_ratio), fill=fill)) if plot_peaks: x_locs = [peak.x for peak in self.peaks] y_locs = [peak.y for peak in self.peaks] axes.autoscale(enable=False) axes.scatter(x_locs, y_locs, s=20, marker='x', c=edgecolor)
def add_to_axes(self, axes, edgecolor='black', fill=False): """Plot the Circle on the axes. Parameters ---------- axes : matplotlib.axes.Axes An MPL axes to plot to. edgecolor : str The color of the circle. fill : bool Whether to fill the circle with color or leave hollow. """ axes.add_patch(mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius, fill=fill))
def plot2axes(self, axes, edgecolor='black', fill=False): """Plot the Circle on the axes. Parameters ---------- axes : matplotlib.axes.Axes An MPL axes to plot to. edgecolor : str The color of the circle. fill : bool Whether to fill the circle with color or leave hollow. """ axes.add_patch(mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius, fill=fill))
def plot2axes(self, axes=None, edgecolor: str='black', fill: bool=False): """Plot the Circle on the axes. Parameters ---------- axes : matplotlib.axes.Axes An MPL axes to plot to. edgecolor : str The color of the circle. fill : bool Whether to fill the circle with color or leave hollow. """ if axes is None: fig, axes = plt.subplots() axes.imshow(self._array) axes.add_patch(mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius, fill=fill))
def plot2axes(self, axes=None, edgecolor='black', fill=False, plot_peaks=True): """Plot the circle to an axes. Parameters ---------- axes : matplotlib.Axes, None The axes to plot on. If None, will create a new figure of the image array. edgecolor : str Color of the Circle; must be a valid matplotlib color. fill : bool Whether to fill the circle. matplotlib keyword. plot_peaks : bool If True, plots the found peaks as well. """ if axes is None: fig, axes = plt.subplots() axes.imshow(self.image_array) axes.add_patch( mpl_Circle((self.center.x, self.center.y), edgecolor=edgecolor, radius=self.radius, fill=fill)) if plot_peaks: x_locs = [peak.x for peak in self.peaks] y_locs = [peak.y for peak in self.peaks] axes.autoscale(enable=False) axes.scatter(x_locs, y_locs, s=40, marker='x', c=edgecolor)