geojs | Geo-location lookup API | REST library
kandi X-RAY | geojs Summary
kandi X-RAY | geojs Summary
GeoJS is a geo-location lookup API supporting plain text, JSON and JSONP endpoints. It also has ChatOps integration and a PTR endpoint. With full CORS support GeoJS can be integrated into any frontend or backend app easily.
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MIT License
Copyright (c) 2017-2021 James Loh
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including
$ curl -s https://get.geojs.io/v1/ip
8.8.8.8
$ curl -s https://get.geojs.io/v1/dns/ptr
google-public-dns-a.google.com
$ curl -s https://get.geojs.io/v1/ip/country/8.8.4.4
US
Community Discussions
Trending Discussions on geojs
QUESTION
I am trying to make a voice assistant with Python in PyCharm. Here is the complete code:
...ANSWER
Answered 2021-Nov-21 at 13:20else
ends the if
construct. If you want to add another elif
-- you should do it before the else
rather than after it:
Rather than
QUESTION
I have try this but I wasn't able to add a cookie or locale storage condition so it won't reload infinitely.
...ANSWER
Answered 2021-Jul-07 at 14:13It seems you want to change the query params based on the users country. We don't need to change window.location.host
. You can change query params using window.location.search
.
However, you only want to change window.location.search
if it does not match your desired value (to avoid reloading infinitely). The solution below assumes currency is the only query param in your URL.
QUESTION
I have a long list of multi polygons in GeoPandas dataframe (Sample below) covering a large area
As you can see each Polygon has a value assigned to it
...ANSWER
Answered 2021-Jun-15 at 12:23- your sample data is not really usable for doing what you describe. Have used Northern Ireland geometry, population and COVID cases to demonstrate
- used
dissolve()
as you describe, have not bothered with fact some of the attributes cannot be summed (long and lat) - simpler to see through visualisation, so have provided plots as each stage
- updated to use pandas
cumsum()
functionality to sub-divide regions for each time population exceeds 300K - this dissolves C into 3 areas and E into 2 areas
QUESTION
I have a code that running in every 2 seconds. This code prints the coordinate information every two seconds. I want to collect these coordinates in a list but I cannot. How can I do that ?
Code:
...ANSWER
Answered 2021-Jan-19 at 07:52You're resetting the list every time the loop runs by including co=[]
in your function as it calls the function every time.
Move your co=[]
above and outside of the function.
QUESTION
Using fetch API and async/await, is it possible to continue polling indefinitely, regardless of availability of a URL? I anticipate that a URL might become available eventually, so I want to keep trying until a condition is met. Tried to come up with a minimum viable code sample and I'm not sure I pulled it off:
...ANSWER
Answered 2020-Sep-30 at 03:45You can try…catch
it to prevent breaking out of loop.
QUESTION
I'm trying to do a chloropeth map following this guide: https://www.r-graph-gallery.com/327-chloropleth-map-from-geojson-with-ggplot2.html
I mixed a bit of the tutorial with this answer(Chloropleth map with geojson and ggplot2), since I wasn't getting the result I expected. The cities were being filled with the same color, and it seemed as R wasn't understanding the data as numeric, and filled every city that had at least 1 user with the default color. (tried using as.numeric, didnt work either)
I downloaded "users by city" data from my website from Google Analytics using
...ANSWER
Answered 2020-Jan-28 at 22:09It looks like you have a couple relatively large values, while most are small. This causes 'skewing' of your color scale in a way that looks less interesting. Instead of graphing number of users, consider mapping based on a quantile .
Here is an implementation of grouping into quantiles using cut2()
from Hmisc
. In this case, values are cut into 5 groups.
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