Working on creating wind vel vector

downloadData/functions/update_wind_velocity.py

@@ -0,0 +1,23 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jun 15 14:52:14 2018
+
+@author: Taeke
+"""
+import numpy as np
+
+def update_wind_velocity(data, filterKeys, generalMissingValue,missingValueList):
+
+    # The rate of horizontal travel of air past a fixed point in meters per second
+    windSpeed = np.array(data['wind_speed'])
+
+    # The angle, measured in a clockwise direction, between true north and 
+    # the direction from which the wind is blowing.
+    # MIN: 001 MAX: 360 UNITS: Angular Degrees
+    windDir = np.radians(np.array(data['wind_direction']))
+
+
+    data['wind_north'] = (-np.cos(windDir) * windSpeed).tolist()
+    data['wind_east'] = (-np.sin(windDir) * windSpeed).tolist()
+
+    return data

downloadData/pre_processing.py

@@ -18,7 +18,7 @@ def pre_processing(startYear, endYear, RADIUS, cut_off_percentage, maxDiff, gene
     from match_dates import match_dates
     from desired_date_list import desired_date_list
     from replace_missing_values import replace_missing_values
-
+    from update_wind_velocity import update_wind_velocity
 
     #map location unprocessed data
     deepLearningPath, _  = os.path.split(os.getcwd())
@@ -61,6 +61,10 @@ def pre_processing(startYear, endYear, RADIUS, cut_off_percentage, maxDiff, gene
 
             data_processed[ID]= match_dates(dateList, data_year, currentKeys, ID, maxDiff, missingValueList)
             data_processed[ID] = replace_missing_values(data_processed[ID],filterKeys, generalMissingValue,missingValueList)
+            data_processed[ID] = update_wind_velocity(data_processed[ID], filterKeys, generalMissingValue,missingValueList)
+
+
+
             #have to assign dummy value otherwise deleted key gets printed
         #SAVE DICTIONARIES
         if not os.path.exists(processedFilesLocation):