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Copy path4_do_vvd_check_latlon.py
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4_do_vvd_check_latlon.py
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# Run the lat/lon check
# Make sure values within lat and lon study area
# The limits are hard-coded into the vvd_subset_latlon function
# lat_min = 30.
# lat_max = 60.
# lon_min = -160.
# lon_max = -115.
from vvd_check_latlon import vvd_subset_latlon
import glob
from os.path import basename
variable_name = 'Temp' # Sal Oxy
# indir = 'C:\\Users\\HourstonH\\Documents\\NEP_climatology\\data\\' \
# 'value_vs_depth\\11_stats_check\\'
indir = 'C:\\Users\\HourstonH\\Documents\\NEP_climatology\\data\\' \
'value_vs_depth\\3_filtered_for_duplicates\\'
# Remove PFL file
# infiles.remove(indir + 'WOD_PFL_Oxy_1991_2020_value_vs_depth_dup_rm.csv')
# fname = 'ALL_Oxy_1991_2020_value_vs_depth_grad_check_done.csv'
# Check WOD argo data
# fname = 'WOD_PFL_Oxy_1991_2020_value_vs_depth_grad_check_done.csv'
# fpath = indir + fname
outdir = 'C:\\Users\\HourstonH\\Documents\\NEP_climatology\\data\\' \
'value_vs_depth\\4_latlon_check\\'
for var in ['Temp', 'Sal']:
infiles = glob.glob(indir + '*{}*value_vs_depth*.csv'.format(var))
# Saves updated df to a new file
for f in infiles:
print(basename(f))
vvd_subset_latlon(f, outdir)