Hi All,
I am using winpy 6.3
I have this array:
code:
clt_subset = nc.variables['clt'][:,latli:latui , lonli:lonui]
print(clt_subset):
[[[ 96.07967377 32.5813179 30.86773872 ..., 99.99996185
99.99997711 99.99997711]
[ 93.75789642 86.78536987 46.51786423 ..., 99.99756622
99.99769592 99.99931335]
[ 99.19438171 99.71717834 97.34263611 ..., 99.99707794
99.99639893 99.93907928]
...,
[ 7.65702724 1.1814307 4.02125835 ..., 39.58660126
37.71473694 42.10451508]
[ 9.48283291 18.4249897 45.22411346 ..., 70.95629883
72.82741547 72.89440155]
[ 33.2973175 46.50339508 88.39287567 ..., 98.50241089
98.47457123 91.32685089]]
[[ 85.40306854 28.19069862 19.56433678 ..., 99.96898651
99.99860382 100. ]
[ 80.49911499 49.17562485 25.18140984 ..., 99.99198151
99.99337006 99.99979401]
[ 99.9821167 91.44667816 78.83125305 ..., 99.99027252
99.99280548 99.99995422]
...,
so on..............
print (clt_subset.shape)
(20075, 22, 25)
I am not able to save this array into csv file with time series using datetime
function. The code is here:
# 2. Specify the exact time period you want:
start = datetime.datetime(1950,1,1,0,0,0)
stop = datetime.datetime(2004,12,1,0,0,0)
istart = netCDF4.date2index(start,time_var,select='nearest')
istop = netCDF4.date2index(stop,time_var,select='nearest')
print (istart,istop)
hs = clt_subset[istart:istop,latli:latui , lonli:lonui]
tim = dtime[istart:istop]
ts = pd.Series(hs,index=tim,name=clt_subset)
ts.to_csv('time_series_from_netcdf.csv')
while executing this, saying:
Error-
File
"C:\python3\WinPython\python-3.6.5.amd64\lib\site-packages\pandas\core\series.py",
line 3275, in _sanitize_array
raise Exception('Data must be 1-dimensional')
Exception: Data must be 1-dimensional
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