Closed chaetognatha closed 2 months ago
Well, you can use the new "[simpified python interface](http://illumina.github.io/interop/namespacecore.html)" to read the imaging table ..
import interop as iop run_metrics = iop.read(run_folder) def read_imaging_table(run_metrics): ar = iop.imaging(run_metrics) df = pd.DataFrame(ar) # some values should be integers change_data_type = { 'Lane' : int, 'Tile' : int, 'Tile Number' : int, 'Read' : int, 'Cycle' : int, 'Cycle Within Read': int, 'Swath' : int, 'Surface' : int } return df.astype(change_data_type)
and then plot the data accordingly. See http://illumina.github.io/interop/namespacecore.html#ab181cd004c7d8d415c5fb0b5a50f3dac
Originally posted by @sklages in https://github.com/Illumina/interop/issues/265#issuecomment-818893094
Based on current documentation it was very hard to to simply load and access the data from python, I think it may be a good idea to update the description of the python binding / simple interface and just show this quote.
and then plot the data accordingly. See http://illumina.github.io/interop/namespacecore.html#ab181cd004c7d8d415c5fb0b5a50f3dac
Originally posted by @sklages in https://github.com/Illumina/interop/issues/265#issuecomment-818893094
Based on current documentation it was very hard to to simply load and access the data from python, I think it may be a good idea to update the description of the python binding / simple interface and just show this quote.