amdaterun Namespace Reference

Variables
	args = f.readlines()
	conf_file = sys.argv[1]
	Reading the configuration file.
	d
	data = netCDFutils.data(datafiles[i])
list	data_loc_time = datas[0].dataset.sel(time=dates, longitude=lon, latitude=lat, method='nearest')
	datafiles = datafiles.split(',')
list	datas = []
	Initializing the realizations.
str	date = str(y)+'_'+str(m)+'_'+str(d)+'_'+str(h)
list	dates = []
	dates_df = pd.read_csv(dates_file, names=['Year','Month','Day','Hour'])
	dates_file
	desc
	DIR = file.readline().strip('\n')
	file = open(DIR+'/am/config/'+filename+'.txt', 'w')
	Saving all the configuration files.
	filename
	final_dates = np.array(final_dates)
	freq_interval
	freq_start
	freq_stop
	h
	lat
	lon
	m
	N = int(N)
	names = data.variables()
	P
	P0
	paramsfile
	PWV
	pwv
	realizations = pd.DataFrame(variables)
	starting_dates = np.array(starting_dates)
	T
	T0
	var = var.split(',')
dict	variables
	y
list	ymdh = [dates_df['Year'][i], dates_df['Month'][i], dates_df['Day'][i], dates_df['Hour'][i]]
	Z

Variable Documentation

args

list args = f.readlines()

conf_file

conf_file = sys.argv[1]

Reading the configuration file.

d

d

data

data = netCDFutils.data(datafiles[i])

data_loc_time

list data_loc_time = datas[0].dataset.sel(time=dates, longitude=lon, latitude=lat, method='nearest')

datafiles

datafiles = datafiles.split(',')

datas

list datas = []

Initializing the realizations.

date

str date = str(y)+'_'+str(m)+'_'+str(d)+'_'+str(h)

dates

dates = []

dates_df

dates_df = pd.read_csv(dates_file, names=['Year','Month','Day','Hour'])

dates_file

dates_file

desc

desc

DIR

DIR = file.readline().strip('\n')

file

file = open(DIR+'/am/config/'+filename+'.txt', 'w')

Saving all the configuration files.

filename

filename

final_dates

final_dates = np.array(final_dates)

freq_interval

freq_interval

freq_start

freq_start

freq_stop

freq_stop

h

h

lat

lat

lon

lon

m

m

N

N = int(N)

names

names = data.variables()

P

P

P0

P0

paramsfile

paramsfile

PWV

PWV

pwv

pwv

realizations

realizations = pd.DataFrame(variables)

starting_dates

starting_dates = np.array(starting_dates)

T

T

T0

T0

var

var = var.split(',')

variables

dict variables

Initial value:

=  {'year': pd.to_datetime(data_loc_time['time'].values).year,
    'month': pd.to_datetime(data_loc_time['time'].values).month,
    'day': pd.to_datetime(data_loc_time['time'].values).day,
    'hour': pd.to_datetime(data_loc_time['time'].values).hour
    }

y

y

ymdh

list ymdh = [dates_df['Year'][i], dates_df['Month'][i], dates_df['Day'][i], dates_df['Hour'][i]]

Z

Z