# %% dz = NDDataset.zeros((5, 3), coordset=cs, units="meters", title="Datasets with only zeros") # %% do = NDDataset.ones((5, 3), coordset=cs, units="kilograms", title="Datasets with only ones") # %% df = NDDataset.full((5, 3), fill_value=1.25, coordset=cs, units="radians", title="with only float=1.25") df # %% [markdown] # As with numpy, it is also possible to take another dataset as a template: # %% df = NDDataset.full_like(d3D, dtype="int", fill_value=2) df # %% nd = NDDataset.diag((3, 3, 2.5)) nd
It's a 2-D dataset""" ds.author = 'Blake & Mortimer' ds # %% [markdown] # ## Using numpy-like constructors of NDDatasets # %% dz = NDDataset.zeros((5, 3), coordset=cs, units='meters', title='Datasets with only zeros') # %% do = NDDataset.ones((5, 3), coordset=cs, units='kilograms', title='Datasets with only ones') # %% df = NDDataset.full((5, 3), fill_value=1.25, coordset=cs, units='radians', title='with only float=1.25') df # %% [markdown] # As with numpy, it is also possible to take another dataset as a template: # %% df = NDDataset.full_like(d3D, dtype='int', fill_value=2) df # %% nd = NDDataset.diag((3, 3, 2.5)) nd # %% [markdown] # ## Copying existing NDDataset