Python matplotlib.patches.Arrow() Examples
The following are 3
code examples of matplotlib.patches.Arrow().
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Example #1
Source File: mf.py From pyscf with Apache License 2.0 | 6 votes |
def plot_contour(self, w=0.0): """ Plot contour with poles of Green's function in the self-energy SelfEnergy(w) = G(w+w')W(w') with respect to w' = Re(w')+Im(w') Poles of G(w+w') are located: w+w'-(E_n-Fermi)+i*eps sign(E_n-Fermi)==0 ==> w'= (E_n-Fermi) - w -i eps sign(E_n-Fermi) """ try : import matplotlib.pyplot as plt from matplotlib.patches import Arc, Arrow except: print('no matplotlib?') return fig,ax = plt.subplots() fe = self.fermi_energy ee = self.mo_energy iee = 0.5-np.array(ee>fe) eew = ee-fe-w ax.plot(eew, iee, 'r.', ms=10.0) pp = list() pp.append(Arc((0,0),4,4,angle=0, linewidth=2, theta1=0, theta2=90, zorder=2, color='b')) pp.append(Arc((0,0),4,4,angle=0, linewidth=2, theta1=180, theta2=270, zorder=2, color='b')) pp.append(Arrow(0,2,0,-4,width=0.2, color='b', hatch='o')) pp.append(Arrow(-2,0,4,0,width=0.2, color='b', hatch='o')) for p in pp: ax.add_patch(p) ax.set_aspect('equal') ax.grid(True, which='both') ax.axhline(y=0, color='k') ax.axvline(x=0, color='k') plt.ylim(-3.0,3.0) plt.show()
Example #2
Source File: misc.py From mriqc with BSD 3-Clause "New" or "Revised" License | 5 votes |
def figure1_a( image_path, display_mode="y", vmax=300, cut_coords=None, figsize=(20, 20) ): import matplotlib.patches as patches if cut_coords is None: cut_coords = [15] disp, ax = plot_artifact( image_path, display_mode=display_mode, vmax=vmax, cut_coords=cut_coords, figsize=figsize, ) ax.add_patch( patches.Arrow( 0.2, # x 0.2, # y 0.1, # dx 0.6, # dy width=0.25, color="tomato", transform=ax.transAxes, ) ) ax.add_patch( patches.Arrow( 0.8, # x 0.2, # y -0.1, # dx 0.6, # dy width=0.25, color="tomato", transform=ax.transAxes, ) ) return disp
Example #3
Source File: velocities.py From tierpsy-tracker with MIT License | 4 votes |
def animate_velocity(skel_a, ini_arrow, arrow_size, speed_v, ang_v): x_range, y_range = _h_ax_range(skel_a) fig = plt.figure(figsize = (15, 8)) ax = plt.subplot(1,2,1) ax_speed = plt.subplot(2,2,2) ax_ang_speed = plt.subplot(2,2,4) ax.set_xlim(*x_range) ax.set_ylim(*y_range) line, = ax.plot([], [], lw=2) head_p, = ax.plot([], [], 'o') orient_arrow = patches.Arrow(*ini_arrow[0], *arrow_size[0], fc='k', ec='k') ax_speed.plot(speed_v) ax_ang_speed.plot(ang_v) speed_p, = ax_speed.plot([], 'o') ang_speed_p, = ax_ang_speed.plot([], 'o') # animation function. This is called sequentially def _animate(i): global orient_arrow x = skel_a[i, :, 0] y = skel_a[i, :, 1] line.set_data(x, y) head_p.set_data(x[0], y[0]) if ax.patches: ax.patches.remove(orient_arrow) orient_arrow = patches.Arrow(*ini_arrow[i], *arrow_size[i], width=50, fc='k', ec='k') ax.add_patch(orient_arrow) speed_p.set_data(i, speed_v[i]) ang_speed_p.set_data(i, ang_v[i]) return (line, head_p, orient_arrow, speed_p, ang_speed_p) # call the animator. blit=True means only re-draw the parts that have changed. anim = animation.FuncAnimation(fig, _animate, frames=skel_a.shape[0], interval=20, blit=True); return anim #%%