hdf-compass
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View int8 and uin8 Data as binary string or encoded string
In python strings may be stored as encoded bytearray which in contrast to \0
terminated byte stringscan be compressed. The resulting 8 bit integer dataset is displayed as such by hdf-compas. Which makes inspections of such datasets a bit difficult. Therefore i do suggests to enhace dataset view for 8bit integer type datasets by providing alternative views like the following crude examples:
binary ....... view as plain binary bytes eg. print(bytearray(eight_bit_int_dataset[()]))
hex .......... view as hexstring instead eg. print("{:x}".format(eight_bit_int_dataset[()]))
<encoding> ... view as decoded bytarray content eg.
selected_encoding="utf8"
print(bytearray(eight_bit_int_dataset[()]).decode(selected_encoding))
That would allow to inspect hdf5 which encodes strings in eight bit int datasets instead of \0
terminated c-style string datasets.
NOTE as python2 is out of support this feature request shall only affect python3 branch #186