[英]How can I filter netCDF variables with specific conditions in Python?
[英]How can I extract netCDF to csv for a specific location?
我想从NetCDF到特定位置的csv提取时间序列。 我用代码得到了这么多,但它给出了TypeError:需要一个类似字节的对象,而不是'str'
我怎样才能克服这个问题? 此外,这个开发的代码是否具有输出:特定位置的时间/ mwp?
import netCDF4
import pandas as pd
import matplotlib.pyplot as plt
import csv
import numpy as np
from netCDF4 import Dataset, num2date
from pylab import *
import xarray
f = netCDF4.Dataset('Wave_period_global.nc')
f.variables.keys()
print (f)
lat = f.variables['latitude'][:]
lon = f.variables['longitude'][:]
time_var = f.variables['time']
dtime = netCDF4.num2date(time_var[:],time_var.units)
mwp = f.variables['mwp'][:]
print(lon.min(), lon.max())
print(lat.min(), lat.max())
longitude = 172
latitude = 50
def near(array,value):
idx=(abs(array-value)).argmin()
return idx
ix = near(lat, latitude)
iy = near(lon, longitude)
print ('Latitude =',ix)
print ('Longitude =',iy)
with open ('Wave_period_global.csv', 'wb') as csvfile:
filewriter = csv.writer(csvfile, delimiter=',',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
for ln in range(len(lon)):
for lt in range(len(lat)):
value=f.variables['mwp'][0][lt][ln]
dtime = netCDF4.num2date(time_var[0],time_var.units)
print(dtime,lat[lt],lon[ln,],value)
filewriter.writerow([dtime,lat[lt],lon[ln,],value])
请参阅上面的评论。 我将输出作为csv离开我的答案,专注于你真正的问题。
from netCDF4 import Dataset, num2date
f = netCDF4.Dataset('Wave_period_global.nc')
lat = f.variables['latitude'][:]
lon = f.variables['longitude'][:]
time_var = f.variables['time']
# These are all datetime object.
dtime = netCDF4.num2date(time_var[:],time_var.units)
mwp = f.variables['mwp'][:]
print(lon.min(), lon.max())
print(lat.min(), lat.max())
longitude = 172
latitude = 50
def near(array,value):
idx=(abs(array-value)).argmin()
return idx
ix = near(lat, latitude)
iy = near(lon, longitude)
print ('Latitude =',ix)
print ('lat[] =', lat[ix])
print ('Longitude =',iy)
print ('lon[] =', lon[iy])
for i in range(len(dtime)):
value=f.variables['mwp'][i][ix][iy]
print(dtime[i],lat[ix],lon[iy,],value)
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