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/petsc/src/binding/petsc4py/demo/regressor/
H A Dtest_regressor_synthetic.py10 import matplotlib.pyplot as plt namespace
36 color_map = plt.cm.get_cmap('RdYlBu')
93 fig,ax = plt.subplots(nrows=2, ncols=3,figsize=(16,7))
99 plt.subplot(plt_ind)
100 my_scatter_plot = plt.scatter(xte[:,0],
108 plt.title('noise: '+str(noise))
109 plt.colorbar(my_scatter_plot)
112 plt.suptitle('PETSc regression tests with different noise levels',fontsize=20)
113 plt.show(block=True)
/petsc/src/benchmarks/
H A DbenchmarkExample.py345 import matplotlib.pyplot as plt namespace
354 SizeError = plt.loglog(*data)
355 plt.title(library+' ex'+str(num)+' Mesh Convergence')
356 plt.xlabel('Size')
357 plt.ylabel(r'Error $\|x - x^*\|_2$')
358 plt.legend(legends)
359 plt.show()
364 import matplotlib.pyplot as plt namespace
371 TimeError = plt.loglog(*data)
372 plt.title(library+' ex'+str(num)+' Work Precision')
[all …]
/petsc/src/benchmarks/streams/
H A Dprocess.py43 import matplotlib.pyplot as plt namespace
49 fig, ax1 = plt.subplots(layout='constrained')
50 plt.title(streamstype+' Perfect and Streams Speedup')
80 plt.show()
81 if fileoutput: plt.savefig(streamstype+'scaling.png')
/petsc/share/petsc/bin/
H A Ddmnetwork_view.py43 self.colormap = plt.get_cmap('brg')
268 fig = plt.figure("Rank " + str(self.id) if self.id >= 0 else "Global")
348 plt.xlim(viewport[0], viewport[1])
349 plt.ylim(viewport[2], viewport[3])
368 cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=colors.colormap), ax=axis)
371 cbar = plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm, cmap=colors.colormap), ax=axis)
456 plt.show(block=False)
457 plt.pause(float(args.display_time))
460 window = plt.get_current_fig_manager().window
466 plt.show()
[all …]
/petsc/lib/petsc/bin/
H A Dpetsc_tas_analysis.py19 import matplotlib.pyplot as plt namespace
771 plt.style.use(os.path.join(styleDir, 'petsc_tas_style.mplstyle'))
775 meshConvFig = plt.figure()
781 statScaleFig = plt.figure()
786 statScaleFig = plt.figure()
791 efficFig = plt.figure()