Python NetCDF文件中的写入时间
在netCDF文件中使用NETCDF4包写入时间Python NetCDF文件中的写入时间,python,netcdf,Python,Netcdf,在netCDF文件中使用NETCDF4包写入时间 dates = [] for iday in range(84): dates.append(datetime.datetime(2016, 10, 1) + atetime.timedelta(hours = iday)) times[:] = date2num(dates, units=times.units, calendar = imes.calendar) # print times[:] for ii, i in enumer
dates = []
for iday in range(84):
dates.append(datetime.datetime(2016, 10, 1) + atetime.timedelta(hours = iday))
times[:] = date2num(dates, units=times.units, calendar = imes.calendar)
# print times[:]
for ii, i in enumerate(times[:]):
print i, num2date(i, units=times.units), dates[ii]
时机已经成熟:
17669815.0 2016-10-04 07:00:00 2016-10-04 07:00:00
17669816.0 2016-10-04 08:00:00.000006 2016-10-04 08:00:00
17669817.0 2016-10-04 09:00:00 2016-10-04 09:00:00
17669818.0 2016-10-04 10:00:00 2016-10-04 10:00:00
17669819.0 2016-10-04 11:00:00.000006 2016-10-04 11:00:00
但在读取netcdf文件时:
input_file = '/home/lovechang/test.nc'
data = Dataset(input_file)
times = data.variables['time']
# print times[:]
# print num2date(times[:], units=times.units)
for i in times[:]:
print i, num2date(i, units=times.units)
结果:
17669813.0 2016-10-04 05:00:00.000006
17669814.0 2016-10-04 06:00:00
17669815.0 2016-10-04 07:00:00
17669816.0 2016-10-04 08:00:00.000006
17669817.0 2016-10-04 09:00:00
17669818.0 2016-10-04 10:00:00
17669819.0 2016-10-04 11:00:00.000006
Ncview显示时间不是准时的小时
那么《泰晤士报》发生了什么?
如何在netcdf文件中准时写入小时数?根据您选择的时间单位和数据类型,您可能会遇到浮点精度问题。例如,如果指定自1970-01-01 00:00起的时间(以天为单位),则32位浮点值不够,应改用64位浮点值:
import datetime
import netCDF4
times = [datetime.datetime(2016, 10, 1) + datetime.timedelta(hours=hour)
for hour in range(84)]
# Create netCDF file
calendar = 'standard'
units = 'days since 1970-01-01 00:00'
ds = netCDF4.Dataset('test.nc', 'w')
timedim = ds.createDimension(dimname='time', size=len(times))
# Write timestamps to netCDF file using 32bit float
timevar32 = ds.createVariable(varname='time32', dimensions=('time',),
datatype='float32')
timevar32[:] = netCDF4.date2num(times, units=units, calendar=calendar)
# Write timestamps to netCDF file using 64bit float
timevar64 = ds.createVariable(varname='time64', dimensions=('time',),
datatype='float64')
timevar64[:] = netCDF4.date2num(times, units=units, calendar=calendar)
# Read timestamps from netCDF file
times32 = netCDF4.num2date(timevar32[:], units=units, calendar=calendar)
times64 = netCDF4.num2date(timevar64[:], units=units, calendar=calendar)
for time, time32, time64 in zip(times, times32, times64):
print "original ", time
print " 32 bit ", time32
print " 64 bit ", time64
print
如果从2016-10-01 00:00起以小时为单位指定时间,则在本例中,即使是整数也足够了