load.rst

Loading data in memory is performed as follows:

Option 1:

import toolbox_scs as tb

# optional, check available mnemonics
# print(tb.mnemonics)
# fields is a list of available mnemonics, representing the data
# to be loaded

fields = ["FastADC4raw", "scannerX"]
proposalNr = 2565
runNr = 19

run, data = tb.load(proposalNr, runNr, fields)

run is an extra_data dataCollection and data is an xarray Dataset containing all variables listed in fields. For convinience, data also contains the variable bunchPatternTable, which is used by other functions of the ToolBox. All variables are aligned by train Id.

Option 2:

import toolbox_scs as tb

# get entry for single data source defined in mnemonics
mnemonic = tb.mnemonics["scannerX"]
proposalNr = 2565
runNr = 19

run, _ = tb.load(proposalNr, runNr)
data = run.get_array(*mnemonic.values())

run is an extra_data dataCollection and data an xarray dataArray for a single data source.