Protochips logfile#
RosettaSciIO can read heater, biasing and gas cell logfiles for Protochips holder.
The format stores all the captured data together with a small header in a .csv
file. The reader extracts the measured quantity (e. g. temperature, pressure,
current, voltage) along the time axis, as well as the notes saved during the
experiment. The reader returns a list of signal with each signal corresponding
to a quantity. Since there is a small fluctuation in the step of the time axis,
the reader assumes that the step is constant and takes its mean, which is a
good approximation. Further releases of RosettaSciIO will read the time axis more
precisely by supporting non-uniform axis (to be implemented!).
Note
To read Protochips logfiles in HyperSpy, use the
reader argument to define the correct file plugin as the .csv
extension is not unique to this reader:
>>> import hyperspy.api as hs
>>> hs.load("filename.csv", reader="protochips")
API functions#
- rsciio.protochips.file_reader(filename, lazy=False)#
Read a Protochips
.csvlogfile containing data for heater, biasing or gas cell experiments using an in-situ holder.- Parameters:
- filename
str,pathlib.Path Filename of the file to read or corresponding pathlib.Path.
- lazybool, default=False
Lazy loading is not supported.
- filename
- Returns:
listofdictList of dictionaries containing the following fields:
‘data’ – multidimensional
numpy.ndarrayordask.array.Array‘axes’ – list of dictionaries describing the axes containing the fields ‘name’, ‘units’, ‘index_in_array’, and either ‘size’, ‘offset’, and ‘scale’ or a numpy array ‘axis’ containing the full axes vector
‘metadata’ – dictionary containing the parsed metadata
‘original_metadata’ – dictionary containing the full metadata tree from the input file
When the file contains several datasets, each dataset will be loaded as separate dictionary.