wavelet.load_txt(file,var,dt,date1)
Open and read an archive .txt with data only (without date)
Parameters:
- file: vector
Vector archive to be open.
- var: string
variable from archive.nc
- dt: number
Time-sample of the vector. Example: Hourly, daily, monthly, etc...
- date1: number
The initial time of the data. Example: 1985.
Returns:
- data: array_like
Raw of data
- time: array_like
Raw of time sampling.
See also
wavelet.load_txt
Example:
# Creating a netcdf file
# download the pupynere package
# more info : https://bitbucket.org/robertodealmeida/pupynere/
>> import pupynere as pp
>> f = pp.netcdf_file('simple.nc', 'w')
>> f.history = 'Created for a test'
>> f.createDimension('time', 10)
>> time = f.createVariable('time', 'i', ('time',))
>> time[:] = range(10)
>> time.units = 'days since 2008-01-01'
>> f.close()
# load netcdf
>> dt = 1
>> data, time = waipy.load_nc('simple.nc','time',dt,2000)