A PoleFigure object is then created using this microstructure and the pole figures
    (both direct and inverse) are drawn by calling the plot_pole_figures() method.
    '''
    micro = Microstructure(name='Au_6grains', overwrite_hdf5=True)
    micro.autodelete = True
    gid_list = [1158, 1349, 1585, 1805, 1833, 2268]
    euler_list = [(344.776, 52.2589, 53.9933), 
                  (344.899, 125.961, 217.330),
                  (228.039, 57.4791, 143.171),
                  (186.741, 60.333, 43.311),
                  (151.709, 55.0406, 44.1051),
                  (237.262, 125.149, 225.615),
                  ]
    micro.add_grains(euler_list, grain_ids=gid_list)

    # create pole figure (both direct and inverse)
    pf = PoleFigure(hkl='111', axis='Z', proj='stereo', microstructure=micro)
    pf.mksize = 100
    pf.set_map_field('grain_id')
    pf.pflegend = True  # this works well for a few grains
    pf.plot_pole_figures(plot_sst=True, display=False, save_as='png')
    del pf
    del micro

    image_name = os.path.splitext(__file__)[0] + '.png'
    print('writing %s' % image_name)

    from matplotlib import image

    image.thumbnail(image_name, 'thumb_' + image_name, 0.2)
示例#2
0
from pymicro.crystal.microstructure import Microstructure, Grain, Orientation
from pymicro.crystal.texture import PoleFigure
from matplotlib import pyplot as plt, colors, cm

if __name__ == '__main__':
    '''
    111 Pole figure of a copper sample containing 10000 grains with a fibre
    texture.
    '''
    eulers = Orientation.read_euler_txt('../data/Cu_111.dat')
    micro = Microstructure(name='Cu_111')
    for index in eulers:
        micro.grains.append(Grain(index, eulers[index]))

    # create pole figure (both direct and inverse)
    pf = PoleFigure(hkl='111',
                    proj='stereo',
                    microstructure=micro,
                    verbose=False)
    pf.color_by_grain_id = False
    pf.mksize = 5
    pf.pflegend = False
    pf.plot_pole_figures(plot_sst=True, display=False, save_as='png')

    image_name = os.path.splitext(__file__)[0] + '.png'
    print('writting %s' % image_name)

    from matplotlib import image

    image.thumbnail(image_name, 'thumb_' + image_name, 0.2)