In this example, we connect to a public HTTP server and download raw tomography images.
It is not necessary to use Python to do this---curl would work fine---but
the Tiled Python client is currently the most convenient way to do navigate the data.
pip install tiled[client]
In [1]: from tiled.client import from_uri
In [2]: client = from_uri("https://tiled-demo.blueskyproject.io")
In [3]: uids = list(client["fxi"]["raw"])
In [4]: client["fxi"]["raw"][uids[2]]["primary"]["data"]["Andor_image"]
Out[4]:
<xarray.DataArray 'Andor_image' (time: 91, dim_0: 1, dim_1: 2160, dim_2: 2560)>
array([[[[ 110, 98, 110, ..., 92, 100, 111],
[ 99, 106, 94, ..., 107, 111, 97],
[ 99, 102, 99, ..., 106, 112, 107],
...,
[ 95, 83, 109, ..., 93, 86, 107],
[ 119, 96, 121, ..., 82, 111, 91],
[ 115, 115, 90, ..., 103, 87, 91]]],
[[[ 103, 99, 100, ..., 104, 100, 101],
[ 111, 105, 105, ..., 109, 113, 103],
[ 95, 101, 105, ..., 101, 115, 101],
...,
[ 104, 111, 82, ..., 88, 96, 87],
[ 122, 104, 97, ..., 107, 117, 102],
[ 111, 108, 108, ..., 95, 97, 95]]],
[[[ 133, 97, 109, ..., 93, 107, 110],
[ 90, 100, 97, ..., 93, 96, 90],
...
<snipped>
xref https://github.com/OpenChemistry/tomviz/blob/master/tomviz/python/tomviz/io/_databroker.py