Coming from a 2.2.1 openpyxl and upgrading to a 2.5.8 (tested as well with latest 2.6.2), I noticed a big performance drop in just importing openpyxl (without doing anything at all)
t0=time.time() import openpyxl t1=time.time()
print 'LOAD in %s' % (t1-t0)
The older version gives: LOAD in 0.121558904648
The newer versions give: LOAD in 0.623511075974
Seems related to numpy imports, maybe other thing
Anyway to improve this ?
In some scripts the import of openpyxl is now the
#1 time consumer...