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write a function for merging two different datasets together. Eg, if you have a folder obspydmt_data_1 and an other folder obspydmt_data_2 with overlapping events, then you can make a folder obspydmt_complete folder and everything is in the right shape
for various plotting function it would be great if it would be possible to choose between networks (e.g. YV, II, etc) stations and events (eg. timespan, depth, magnitude). Eg for kml plots it's not possible to get specific networks
when I'm updating my database and do an instrument correction, then it corrects all stations again, which can be time consuming. Maybe include a flag and an external checker file for that, which only corrects what is new
test obspyDMT for one or none retrieved stations ( I have the feeling some functions don't take this too well)
last point: add a flag to update the event and station info according to the archived data
The text was updated successfully, but these errors were encountered:
get rid of '--min_date' flag or document this feature better, because it's not clear that when I'm using '--local' it does not process through my whole local folder
if I run obspyDMT on an external server the backend of matplotlib is not compatible with my local machine, with the result that it crashes when I want to produce plots (might not be for everybody the case) -->> this problem is solved by adding at the very top of obspyDMT.py:
import matplotlib
matplotlib.use('Agg')
after obspyDMT is finished it takes ages until it gets back to the prompt
Another point for the naming of the continuous request, what about:
start record till end record
yyyy.jjj.ttttt_yyyy.jjj.ttttt
yyyy for year
jjj for julday
ttttt is for time in sec (max 86400 sec for one day)
and with that format you can easily differentiate between: flin.year.julday.letter because you don't have the underline in the name anymore.
The text was updated successfully, but these errors were encountered: