def load_graph(self):
path = self.path
# path = os.path.join(self.root, self.filename)
from pychron.lasers.power.power_map_processor import PowerMapProcessor
pmp = PowerMapProcessor()
if path.endswith('.h5') or path.endswith('.hdf5'):
reader = H5DataManager()
# reader = self._data_manager_factory()
reader.open_data(path)
else:
with open(path, 'r') as f:
reader = csv.reader(f)
# trim off header
reader.next()
#
self.graph = pmp.load_graph(reader)
self.graph.width = 625
self.graph.height = 500
reader.open_data(path)
z, _ = pmp._extract_h5(reader)
if self.surf:
self.graph3D.plot_data(z, func='surf',
representation=self.representation,
warp_scale=self.vertical_ex ,
outline=self.surf_outline
)
if self.contour:
self.graph3D.plot_data(z, func='contour_surf',
contours=self.levels,
warp_scale=self.vertical_ex,
outline=self.contour_outline
)
def load(self, path):
pmp = PowerMapProcessor()
reader = H5DataManager()
reader.open_data(path)
cg = pmp.load_graph(reader)
self.beam_diameter, self.power = pmp.extract_attrs(['beam_diameter', 'power'])
self.component = cg.plotcontainer
self.was_executed = True
self.processor = pmp
def load(self, path):
pmp = PowerMapProcessor()
reader = H5DataManager()
reader.open_data(path)
cg = pmp.load_graph(reader)
self.beam_diameter, self.power = pmp.extract_attrs(['beam_diameter', 'power'])
self.component = cg.plotcontainer
self.was_executed = True
self.processor = pmp
