I'm reading a bunch of netcdf files using the pupynere interface (linux). The following code results in an mmap error:
import numpy as np
import os, glob
from pupynere import NetCDFFile as nc
alts = []
vals = []
path='coll_mip'
filter='*.nc'
for infile in glob.glob(os.path.join(path, filter)):
curData = nc(infile,'r')
vals.append(curData.variables['O3.MIXING.RATIO'][:])
alts.append(curData.variables['ALTITUDE'][:])
curData.close()
Error:
$ python2.7 /mnt/grid/src/profile/contra.py
Traceback (most recent call last):
File "/mnt/grid/src/profile/contra.py", line 15, in <module>
File "/usr/lib/python2.7/site-packages/pupynere-1.0.13-py2.7.egg/pupynere.py", line 159, in __init__
File "/usr/lib/python2.7/site-packages/pupynere-1.0.13-py2.7.egg/pupynere.py", line 386, in _read
File "/usr/lib/python2.7/site-packages/pupynere-1.0.13-py2.7.egg/pupynere.py", line 446, in _read_var_array
mmap.error: [Errno 24] Too many open files
Interestingly, if I comment one of the append
commands (either will do!) it works! What am I doing wrong? I'm closing the file, right? This is somehow related to the python list. I used a different, inefficient approach before (always copying each element) that worked.
PS: ulimit -n
yields 1024, program fails at file number 498.
maybe related to, but solution doesn't work for me: NumPy and memmap: [Errno 24] Too many open files