Added python sample

python_samples/FetchWeatherHistory.py

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+import csv
+import codecs
+import urllib.request
+import sys
+
+# This is the core of our weather query URL
+BaseURL = 'http://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/weatherdata/'
+
+if len(sys.argv) < 4:
+    print('')
+    print('Usage: FetchWeather Location Date API_KEY')
+    print()
+    print('  Location: Please provide a location for the weatch search.')
+    print('    (Make sure to use quotes if the name contains spaces.)')
+    print('  Date: Please specify a date in the format YYYY-MM-DD to look up weather for a specific date.')
+    print('    Or use the FORECAST to look up the current weather forcast.')
+    print('  API_KEY: Please specify your Visual Crossing Weather API Key')
+    print('    If you don\'t already have an API Key, get one at www.visualcrossing.com/weather-api.')
+    print()
+    print('Example: FetchWeather \"Herndon, VA\" 2006-04-12 KEY_123')
+    print('Example: FetchWeather \"Beverly Hills, CA\" FORECAST KEY_123')
+    print()
+    sys.exit()
+
+print('')
+print(' - Requesting weather for: ', sys.argv[1])
+
+DateParam = sys.argv[2].upper()
+
+# Set up the location parameter for our query
+QueryLocation = '&location=' + urllib.parse.quote(sys.argv[1])
+
+# Set up the key parameter for our query
+QueryKey = '&key=' + sys.argv[3]
+
+# Set up the specific parameters based on the type of query
+if DateParam == 'FORECAST':
+    print(' - Fetching forecast data')
+    QueryTypeParams = 'forecast?&aggregateHours=24&unitGroup=us&shortColumnNames=false'
+else:
+    print(' - Fetching history for date: ', DateParam)
+
+    # History requests require a date.  We use the same date for start and end since we only want to query a single date in this example
+    QueryDate = '&startDateTime=' + DateParam + 'T00:00:00&endDateTime=' + sys.argv[2] + 'T00:00:00'
+    QueryTypeParams = 'history?&aggregateHours=24&unitGroup=us&dayStartTime=0:0:00&dayEndTime=0:0:00' + QueryDate
+
+
+# Build the entire query
+URL = BaseURL + QueryTypeParams + QueryLocation + QueryKey
+
+print(' - Running query URL: ', URL)
+print()
+
+# Parse the results as CSV
+CSVBytes = urllib.request.urlopen(URL)
+CSVText = csv.reader(codecs.iterdecode(CSVBytes, 'utf-8'))
+
+RowIndex = 0
+
+# The first row contain the headers and the additional rows each contain the weather metrics for a single day
+# To simply our code, we use the knowledge that column 0 contains the location and column 1 contains the date.  The data starts at column 4
+for Row in CSVText:
+    if RowIndex == 0:
+        FirstRow = Row
+    else:
+        print('Weather in ', Row[0], ' on ', Row[1])
+
+        ColIndex = 0
+        for Col in Row:
+            if ColIndex >= 4:
+                print('   ', FirstRow[ColIndex], ' = ', Row[ColIndex])
+            ColIndex += 1
+    RowIndex += 1
+
+# If there are no CSV rows then something fundamental went wrong
+if RowIndex == 0:
+    print('Sorry, but it appears that there was an error connecting to the weather server.')
+    print('Please check your network connection and try again..')
+
+# If there is only one CSV  row then we likely got an error from the server
+if RowIndex == 1:
+    print('Sorry, but it appears that there was an error retrieving the weather data.')
+    print('Error: ', FirstRow)
+
+print()
+