openflights | storing flight information , rendering paths | Map library
kandi X-RAY | openflights Summary
kandi X-RAY | openflights Summary
Welcome to the code base for OpenFlights, a tool that lets you map your flights around the world, search and filter them in all sorts of interesting ways, calculate statistics automatically, and share your flights and trips with friends and the entire world (if you wish).
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Community Discussions
Trending Discussions on openflights
QUESTION
The question is: Write a Python function that accepts a NetworkX graph and a node name and returns the average degree of that node's neighbors. Use this function to compute this quan-tity for every node in the OpenFlights US network and take the average. Does the Friendship Paradox hold here (i.e. is the average degree of nearest neighbors greater than the average node degree)?
...ANSWER
Answered 2022-Feb-05 at 13:33The average degree of the node's neighbours is the sum of the degrees of each neighbour, divided by the number of neighbours. The number of neighbours of a node is exactly its degree.
The degree of a node u in a networkx Graph G is G.degree(u).
In python, the sum can easily be obtained with builtin function sum.
Relevant documentation:
QUESTION
How can I convert an API response from string to an array of objects?
I am making a GET call as follows and the result I get is returned as one very long string:
...ANSWER
Answered 2021-Sep-11 at 11:48if you are certain about the length of the object then you can try this
QUESTION
I am working on a R Shiny project to visualize all of the airports in the world. The code included below is a sample of my project. Functionally, the app works as expected - The data table and map update when you choose a different country. However, I'm having a bit of an issue with the points on the maps. Since I have the radius of the points dependent on the number of routes from an airport, in densely populated areas where there might be multiple large airports (eg: Chicago), some larger points overlap smaller ones. I used the FillOpacity argument in the AddCircles function to be more transparent so you could see potentially masked points. However, it seems that this argument is ignored when I use it in the code below:
...ANSWER
Answered 2020-Aug-10 at 10:40I think that fillOpacity = 0.4 is too high to get transparency for points near Chicago, for example. I got the transparency in the image below setting fillOpacity = 0.01. With a lower value of alpha it takes a higher number of points to make the point completely opaque. And I think that with 0.4 and more than 200 rows for airport ORD, for example, you reach this threshold.
You could try to solve this plotting only one point per airport (that is, only one row in your dataset).
For example with fillOpacity = 0.4 and adding this code before leaflet function
QUESTION
I am trying to create an interactive dashboard that allows a user to select an airport and then a map generates based on the selection to show all the destinations one could fly to from the selected airport with paths drawn over a map.
Here is my code so far:
...ANSWER
Answered 2020-Apr-27 at 23:45I figured it out: Some of the subsets of data in the "Destination Filtering" section were not fully observed.
I included the following lines in that section and my problem was solved:
QUESTION
I am a new R Shiny user and I'm trying to map out all the destinations one can fly to from an origin airport.
I've successfully created a map that displays all the airports of a country when I hard code the country into my code (I've used Italy as an example).
What I want to be able to do is have a "selectinput" that allows a user to select a country and all of the corresponding airports will show up on the map.
Here is my code:
...ANSWER
Answered 2020-Apr-19 at 18:04You have already done all the necessary work. Just replace all the hard coded Italy to data, which will have the subset of the airport data with the country that the user selects. I'd also consider moving the selectInput to the top of the dashboard as it's hard to scroll from the bottom and users might not see it. I've placed it top center to avoid the dropdown options being covered by the zoom in controls.
Updated code:
QUESTION
I'm experimenting with pig on the openflights datasets (https://openflights.org/data.html). I'm currently trying to map a query that contains all the unique possible flight routes, i.e. the table below
...ANSWER
Answered 2020-Mar-05 at 06:40route_data = JOIN c by (start_airport, end_airport), airports_all by ($0, $0);
This is similar to "and" conditions clause of a typical join query in sql world. Imagine below query. Will it yield your desired results. select * from c t1 join airports_all t2 on a.start_airport=b.first_field and a.end_airport=b.first_field; This will bring results only when both start_airport and end_airport are same.
What you desire can be achieved in below way:
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