Databases Reference
In-Depth Information
840000., 850000., 860000., 870000., 880000., 890000.,
900000., 910000., 920000., 930000., 940000., 950000.,
960000., 970000., 980000., 990000.])
We could also use dictionary-style access using the name we supplied when creating the
scale:
>>>
dset
.
dims
[
0
][
"Simulation X (North) axis"
]
<HDF5 dataset "scale_x": shape (100,), type "<f8">
There are a couple of other dictionary-like methods too, including
items
,
keys
, and
values
.
Finally, you can label each axis of the dataset. This is the correct place to record which
axis is
x
,
y
,
z
, etc.:
>>>
dset
.
dims
[
0
]
.
label
=
"x"
>>>
dset
.
dims
[
1
]
.
label
=
"y"
>>>
dset
.
dims
[
2
]
.
label
=
"z"
Now that we've covered all the basic constructs, it's time to talk about one of the thorniest
issues when programming with HDF5: concurrency.
