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@ -35,10 +35,30 @@ import requests
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import pandas as pd
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import pandas as pd
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from lxml import html
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from lxml import html
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# Set station as Fort Denison tide
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stn_id = 16
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output_dir = 'csv'
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output_dir = 'csv'
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stn_ids = [
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2, # Offshore (Directional) Wave
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3, # Bombora (Directional) Wave
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4, # Captain Cook Channel (SG) Wave
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5, # Kurnell (SG) Wave
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6, # Molineaux Point Wind
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7, # Sydney Airport (Main Runway BOM) Wind
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8, # Brotherson Emergency Response Jetty Tide
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9, # Caltex (Directional) Current
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12, # Western Wedding Cake Wind
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13, # Fort Denison (Sth end BOM) Wind
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14, # Overseas Passenger Terminal Wind
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15, # Glebe Island Wind
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16, # Fort Denison-Primary (Nth end) Tide
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17, # Fort Denison-Secondary (Vegapuls64) Tide
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18, # Circular Quay ADCP Current
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19, # Balls Head Current
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22, # Twofold Bay - Munganno Point Wave
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23, # Twofold Bay - Multipurpose Wharf Wind
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24, # Breakwater Wharf Wind
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27, # Middle Wall (Vegapulse WL61) Tide
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28, # Goodwood (Vegapulse WL61) Tide
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]
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def update_master(output_dir, csv_name, df):
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def update_master(output_dir, csv_name, df):
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@ -77,6 +97,7 @@ url = 'http://wavewindtide.portauthoritynsw.com.au/'
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page = requests.get(url)
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page = requests.get(url)
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tree = html.fromstring(page.content)
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tree = html.fromstring(page.content)
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for stn_id in stn_ids:
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# Get elements from selected station
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# Get elements from selected station
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t_raw = tree.get_element_by_id(f'MainContent_ctl{stn_id:02}_lblRecordDate')
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t_raw = tree.get_element_by_id(f'MainContent_ctl{stn_id:02}_lblRecordDate')
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meas = tree.get_element_by_id(f'MainContent_ctl{stn_id:02}_lblSummary')
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meas = tree.get_element_by_id(f'MainContent_ctl{stn_id:02}_lblSummary')
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