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November 10, 2019 01:11
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| #!/usr/bin/python3 | |
| import csv | |
| import json | |
| import time | |
| import requests | |
| import plotly.graph_objects as go | |
| # all departure flights | |
| def arrivals(airport): | |
| # these variables will hold the departure and arrivals | |
| estDept = '' | |
| estArrival = '' | |
| # hese variables will hold the latitude and longitude cordinates | |
| depart_lat = '' | |
| depart_lon = '' | |
| arrival_lat = '' | |
| arrival_lon = '' | |
| try: | |
| url = f'https://opensky-network.org/api/flights/arrival?airport={airport}&begin=1517227200&end=1517230800' | |
| response = requests.get(url) | |
| res = response.json()[0] # pass data as json | |
| # save the reterived data | |
| estDept = res['estDepartureAirport'] | |
| estArrival = res['estArrivalAirport'] | |
| # check if the estimated arrival retrived was empty | |
| if estDept == None: | |
| print('--------------------------------------------------') | |
| print('{} airport doesn\'t have an estimated departure\ | |
| so the marker will just be at the arrival airport'.format(estArrival)) | |
| print('Departure AirPort: {} - Arrival Airport: {}'.format(estDept,estArrival)) | |
| print('--------------------------------------------------') | |
| # read from the csv file | |
| with open('./airports.csv', mode='r') as csvfile: | |
| # reading the csv file | |
| content = csv.reader(csvfile) | |
| # loop through the csvfile | |
| for con in content: | |
| # check if departure airport exists in csv | |
| if con[5] == estDept: | |
| print('dept found: '+ str(con[5])) | |
| depart_lat = con[6] | |
| depart_lon = con[7] | |
| print('dept lat: ' + depart_lat) | |
| print('dept lon: ' + depart_lon) | |
| # check if arrival airport exist in csv | |
| if con[5] == estArrival: | |
| print('est found: '+ str(con[5])) | |
| arrival_lat = con[6] | |
| arrival_lon = con[7] | |
| print('arri lat: ' + arrival_lat) | |
| print('arri lon: ' + arrival_lon) | |
| # generating a Scattermapbox | |
| fig = go.Figure(go.Scattermapbox( | |
| mode = "markers+lines", | |
| lat = [arrival_lat,depart_lat], | |
| lon = [arrival_lon,depart_lon], | |
| # set the marker size | |
| marker = {'size': 10} | |
| )) | |
| # update the layout | |
| fig.update_layout( | |
| margin ={'l':0,'t':0,'b':0,'r':0}, | |
| mapbox = { | |
| 'center': {'lon': 10, 'lat': 10}, | |
| 'style': "stamen-terrain", | |
| 'center': {'lon': -20, 'lat': -20}, | |
| 'zoom': 1}) | |
| # draw the map | |
| fig.show() | |
| except IndexError: | |
| print('--------------------------------------------------') | |
| print('{} is not part of opensky\'s api'.format(airport)) | |
| arrivals("EDDH") | |
| # EDDK | |
| # LSGG -> LHBP (found) | |
| # EGLL -> KLAS (found) |
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| #!/usr/bin/python3 | |
| import csv | |
| import json | |
| import time | |
| import requests | |
| import plotly.graph_objects as go | |
| # all departure flights | |
| def departures(airport): | |
| # these variables will hold the departure and arrivals | |
| estDept = '' | |
| estArrival = '' | |
| # hese variables will hold the latitude and longitude cordinates | |
| depart_lat = '' | |
| depart_lon = '' | |
| arrival_lat = '' | |
| arrival_lon = '' | |
| try: | |
| url = f'https://opensky-network.org/api/flights/departure?airport={airport}&begin=1517227200&end=1517230800' | |
| response = requests.get(url) | |
| res = response.json()[0] # pass data as json | |
| # save the reterived data | |
| estDept = res['estDepartureAirport'] | |
| estArrival = res['estArrivalAirport'] | |
| # check if the estimated arrival retrived was empty | |
| if estArrival == None: | |
| print('--------------------------------------------------') | |
| print('{} airport doesn\'t have an estimated arrival\ | |
| so the marker will just be at the departure airport'.format(estDept)) | |
| print('Departure AirPort: {} - Arrival Airport: {}'.format(estDept,estArrival)) | |
| print('--------------------------------------------------') | |
| # read from the csv file | |
| with open('./airports.csv', mode='r') as csvfile: | |
| # reading the csv file | |
| content = csv.reader(csvfile) | |
| # loop through the csvfile | |
| for con in content: | |
| # check if departure airport exists in csv | |
| if con[5] == estDept: | |
| print('dept found: '+ str(con[5])) | |
| depart_lat = con[6] | |
| depart_lon = con[7] | |
| print('dept lat: ' + depart_lat) | |
| print('dept lon: ' + depart_lon) | |
| # check if arrival airport exist in csv | |
| if con[5] == estArrival: | |
| print('est found: '+ str(con[5])) | |
| arrival_lat = con[6] | |
| arrival_lon = con[7] | |
| print('arri lat: ' + arrival_lat) | |
| print('arri lon: ' + arrival_lon) | |
| # generating a Scattermapbox | |
| fig = go.Figure(go.Scattermapbox( | |
| mode = "markers+lines", | |
| lat = [depart_lat,arrival_lat], | |
| lon = [depart_lon, arrival_lon], | |
| # set the marker size | |
| marker = {'size': 10} | |
| )) | |
| # update the layout | |
| fig.update_layout( | |
| margin ={'l':0,'t':0,'b':0,'r':0}, | |
| mapbox = { | |
| 'center': {'lon': 10, 'lat': 10}, | |
| 'style': "stamen-terrain", | |
| 'center': {'lon': -20, 'lat': -20}, | |
| 'zoom': 1}) | |
| # draw the map | |
| fig.show() | |
| except IndexError: | |
| print('--------------------------------------------------') | |
| print('{} is not part of opensky\'s api'.format(airport)) | |
| departures("EGLL") | |
| # EDDK | |
| # LSGG -> LHBP (found) | |
| # EGLL -> KLAS (found) |
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