#######
# This script will make regular API calls to http://data-live.flightradar24.com
# to obtain updated total worldwide flights data.
# **This version only loads the site. No callbacks.**
######
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import requests
url = "https://data-live.flightradar24.com/zones/fcgi/feed.js?faa=1&mlat=1&flarm=1&adsb=1&gnd=1&air=1&vehicles=1&estimated=1&stats=1"
res = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'}) # A fake header is necessary to access the site
data = res.json()
counter = 0
for element in data["stats"]["total"]:
counter += data["stats"]["total"][element]
app = dash.Dash()
app.layout = html.Div([
html.Div([
html.Iframe(src = 'https://www.flightradar24.com', height = 500, width = 1200)
]),
html.Div([
html.Pre('Active flights worldwide: {}'.format(counter))
])
])
if __name__ == '__main__':
app.run_server()
- liveupdating3.py
#######
# This script will make regular API calls to http://data-live.flightradar24.com
# to obtain updated total worldwide flights data.
# ** This version continuously updates the number of flights worldwide,
# AND GRAPHS THOSE RESULTS OVER TIME! **
######
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import requests
app = dash.Dash()
app.layout = html.Div([
html.Div([
html.Iframe(src = 'https://www.flightradar24.com', height = 500, width = 1200)
]),
html.Div([
html.Pre(
id='counter_text',
children='Active flights worldwide:'
),
dcc.Graph(id='live-update-graph',style={'width':1200}),
dcc.Interval(
id='interval-component',
interval=6000, # 6000 milliseconds = 6 seconds
n_intervals=0
)])
])
counter_list = []
@app.callback(Output('counter_text', 'children'),
[Input('interval-component', 'n_intervals')])
def update_layout(n):
url = "https://data-live.flightradar24.com/zones/fcgi/feed.js?faa=1&mlat=1&flarm=1&adsb=1&gnd=1&air=1&vehicles=1&estimated=1&stats=1"
# A fake header is necessary to access the site:
res = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
data = res.json()
counter = 0
for element in data["stats"]["total"]:
counter += data["stats"]["total"][element]
counter_list.append(counter)
return 'Active flights worldwide: {}'.format(counter)
@app.callback(Output('live-update-graph','figure'),
[Input('interval-component', 'n_intervals')])
def update_graph(n):
fig = go.Figure(
data = [go.Scatter(
x = list(range(len(counter_list))),
y = counter_list,
mode='lines+markers'
)])
return fig
if __name__ == '__main__':
app.run_server()
lambda function
: 1회용의 간단한 함수를 만드는 것
재사용성
익명 함수 (Anonymous Function)
def add(x, y):
return x+y
lambda x, y : x + y
filter
age = [1,2,3,4,5]
for a in filter(lambda x: x>3, age):
print(a, end=" ")
list, tuple, dictionary, set
list / tuple : 둘다 인덱스로 접근 but, tuple은 변경 불가능
dictionary : index 대신 key로 접근
set : 중복 불가
reduce
from functools import reduce
a = [1,2,3,4]
n = reduce(lambda x,y: x+y, a)
print(n)
