class UnitTests(unittest.TestCase):
def setUp(self):
from jarkus.transects import Transects
self.tr = Transects()
def test_initurl(self):
from jarkus.transects import Transects
url = 'http://opendap.deltares.nl/thredds/dodsC/opendap/rijkswaterstaat/jarkus/profiles/transect.nc'
self.assertEqual(Transects(url=url).url, url)
def test_set_filter_bool(self):
shape = self.tr.ds.variables['id'].shape
B = np.ones(shape) == 0 # all false
idx = -1
B[-1] = True
self.tr.set_filter(alongshore=B)
self.assertEqual(self.tr.get_data('id'), self.tr.ds.variables['id'][idx])
def test_set_filter_id(self):
id = 7e6
self.tr.set_filter(id=id)
self.assertEqual(self.tr.get_data('id'), id)
def test_set_filter_idx(self):
idx = -10
self.tr.set_filter(alongshore=idx)
self.assertEqual(self.tr.get_data('id'), self.tr.ds.variables['id'][idx])
def test_set_filter_year(self):
self.tr.set_filter(year=2006)
def test_get_jrk(self):
idx = 100
self.tr.reset_filter()
self.tr.set_filter(time=-1)
ids = self.tr.get_data('id')
idx = np.nonzero(ids==8006000)[0]
self.tr.set_filter(alongshore=idx[0])
self.tr.get_jrk()
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 6 19:53:24 2013
@author: heijer
"""
from jarkus.transects import Transects
import numpy as np
Jk = Transects(url='http://dtvirt5.deltares.nl:8080/thredds/dodsC/opendap/rijkswaterstaat/jarkus/profiles/transect_r2013_filled.nc')
ids = Jk.get_data('id')
idxs = np.floor(ids/1e6) == 8
for idx in np.nonzero(idxs)[0]:
Jk.set_filter(alongshore=idx)
with open('transect_%i.jrk'%ids[idx], 'w') as f:
f.write(Jk.get_jrk())
) as file:
settings = json.load(file)
Dir_per_transect = settings['Dir_C3']
Dir_per_variable = settings['Dir_D1']
Dir_variable_plots = settings['Dir_D4']
years_requested = list(range(1965, 2020))
labels_y = [str(yr) for yr in years_requested][0::5]
##################################
#### INITIALISATION ####
##################################
# Collect the JARKUS data from the server
Jk = Transects(url=settings['url'])
ids = Jk.get_data('id') # ids of all available transects
remove1 = list(range(2000303, 2000304))
remove2 = list(range(2000720, 2000721))
remove3 = list(range(2002019, 2002020))
remove4 = list(range(4002001, 4005917, 1))
remove5 = list(range(5003300, 5004000, 1))
remove6 = list(range(6000416, 6000900, 1))
remove7 = list(range(6003070, 6003453, 1))
remove8 = list(range(8000000, 8005626, 1))
remove9 = list(range(9010193, 9010194, 1))
remove10 = list(range(10000000, 10001411, 1))
remove11 = list(range(11000660, 11000661, 1))
remove12 = list(range(11000680, 11000681, 1))
remove13 = list(range(11000700, 11000841, 1))
remove14 = list(range(14000000, 14000700, 1))
from IPython import get_ipython
import matplotlib.pyplot as plt
import pickle
get_ipython().run_line_magic('matplotlib', 'auto')
##################################
#### RETRIEVE DATA ####
##################################
# load basic settings from .txt file
with open("C:/Users/cijzendoornvan/Documents/GitHub/jarkus/jarkus/Settings.txt"
) as file:
settings = json.load(file)
# Collect the JARKUS data from the server/local file
Jk = Transects(url=settings['url'])
ids = Jk.get_data('id')
##################################
#### USER-DEFINED REQUEST ####
##################################
# Set whether all transect should be analysed or define a retrieval request
execute_all_transects = False
# Set which years should be analysed
years_requested = list(range(2012, 2020))
if execute_all_transects == False:
# Set the transect and years for retrieval request
transect_name = "08_Meijendel"
#transect_req = np.arange(8009325, 8009750, 1)
transect_req = [8006050]