# %%
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
