Karstens unique station timeseries fix

build/lib/pyseidon_dvt/__init__.py

@@ -0,0 +1,38 @@
+#!/usr/bin/python2.7
+# encoding: utf-8
+
+from __future__ import division
+import os
+import sys
+
+local = os.path.dirname(__file__)
+sys.path.append(os.path.join(local,'fvcomClass'))
+sys.path.append(os.path.join(local,'adcpClass'))
+sys.path.append(os.path.join(local,'drifterClass'))
+sys.path.append(os.path.join(local,'stationClass'))
+sys.path.append(os.path.join(local,'tidegaugeClass'))
+sys.path.append(os.path.join(local,'validationClass'))
+sys.path.append(os.path.join(local,'utilities'))
+
+#Local import
+from utilities import *
+from adcpClass import *
+from drifterClass import *
+from tidegaugeClass import *
+from stationClass import *
+from fvcomClass import *
+from validationClass import *
+
+# Custom error
+from pyseidon_dvt.utilities.pyseidon_error import PyseidonError
+
+#Permission info for OpenDap server
+#print "OpenDap server connexion info:"
+
+__version__ = '2.0'
+__all__ = ["FVCOM", "ADCP", "Drifter", "TideGauge",\
+           "Validation", "Station", "utilities", "PyseidonError"]
+__authors__ = ['Wesley Bowman, Thomas Roc, Jonathan Smith']
+__licence__ = 'GNU Affero GPL v3.0'
+__copyright__ = 'Copyright (c) 2014 EcoEnergyII'
+

build/lib/pyseidon_dvt/adcpClass/__init__.py

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+#!/usr/bin/python2.7
+# encoding: utf-8
+
+#Local import
+from adcpClass import ADCP
+
+__authors__ = ['Wesley Bowman, Thomas Roc, Jonathan Smith']
+__licence__ = 'GNU Affero GPL v3.0'
+__copyright__ = 'Copyright (c) 2014 EcoEnergyII'
+

build/lib/pyseidon_dvt/adcpClass/adcpClass.py

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+#!/usr/bin/python2.7
+# encoding: utf-8
+from __future__ import division
+import numpy as np
+import scipy.io as sio
+import h5py
+
+#Local import
+from variablesAdcp import _load_adcp
+from functionsAdcp import *
+from plotsAdcp import *
+
+
+class ADCP:
+    """
+    **A class/structure for ADCP data**
+
+    Functionality structured as follows: ::
+
+                   _Data. = raw matlab file data
+                  |_Variables. = useable adcp variables and quantities
+                  |_History = Quality Control metadata
+        testAdcp._|_Utils. = set of useful functions
+                  |_Plots. = plotting functions
+                  |_method_1
+                  | ...      = methods and analysis techniques intrinsic to ADCPs
+                  |_method_n
+
+    Inputs:
+      - Only takes a file name as input, ex: testAdcp=ADCP('./path_to_matlab_file/filename')
+
+    *Notes*
+      Only handle fully processed ADCP matlab data previously quality-controlled as well
+      as formatted through "EnsembleData_FlowFile" matlab script at the mo.
+
+      Throughout the package, the following conventions apply:
+      - Coordinates = decimal degrees East and North
+      - Directions = in degrees, between -180 and 180 deg., i.e. 0=East, 90=North,
+                     +/-180=West, -90=South
+      - Depth = 0m is the free surface and depth is negative
+    """
+
+    def __init__(self, filename, debug=False):
+        """ Initialize ADCP class."""
+        self._debug = debug
+        self._origin_file = filename
+        if debug:
+            print '-Debug mode on-' 
+        #TR_comments: find a way to dissociate raw and processed data
+        self.History = ['Created from ' + filename]
+        #TR_comments: *_Raw and *_10minavg open with h5py whereas *_davgBS
+        try:
+            self.Data = sio.loadmat(filename, struct_as_record=False, squeeze_me=True)
+        except NotImplementedError:
+            self.Data = h5py.File(filename, 'r')
+        #TR_comments: Initialize class structure
+        self.Variables = _load_adcp(self, self.History, debug=self._debug)
+        self.Plots = PlotsAdcp(self.Variables, debug=self._debug)
+        self.Utils = FunctionsAdcp(self.Variables,
+                                   self.Plots,
+                                   self.History,
+                                   debug=self._debug) 
+
+        ##Re-assignement of utility functions as methods
+        self.dump_profile_data = self.Plots._dump_profile_data_as_csv
+
+        return