Python NetCDF文件中的写入时间

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

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 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