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kandi X-RAY | geopy Summary
kandi X-RAY | geopy Summary
geopy
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Top functions reviewed by kandi - BETA
- Compute the distance between two points
- Create a Point instance from a point
- Create an instance from a sequence
- Creates a Point instance from a string representation
- Parse an XML page
- Return the encoding of the page
- Encode a point
- Return the contents of the page
- Get the metadata for this node
- Parses the xml
- Format a decimal point
- Returns the result of the geocoder
- Returns the first location for a given location
- Generate geocode for a given string
- Find all locations in a document
- Return a list of Location objects
- Geocode a string
- Find latitude and longitude
- Compute the destination destination
- Parse pagination
- Parse the results
- Find the location of the given document
- Find the points in the given document
- Parse a Wikipedia page
- Calculate the distance between two points
- Calculate destination location
geopy Key Features
geopy Examples and Code Snippets
Community Discussions
Trending Discussions on geopy
QUESTION
I am a bit stuck. I have a CSV which includes:
Site Name Latitude Longitude.
This CSV has 100,000 locations. I need to generate a comma separated list for each location, showing the other locations within 5KM
I have tried the attached, which transposes the table & gives me 100,000 columns with 100,000 rows and the distance populated as the result. But I am not sure how to just make a new pandas column which has a list of all the sites within 5KM.
Can you help?
...ANSWER
Answered 2021-May-27 at 12:00Here is one way with NearestNeighbors.
QUESTION
This question appears to have been answered before, but none of the answers helped in my case. First I should say that I've followed the OSMnx Installation steps exactly. Then tried to run the following code in a Jupyter Notebook:
...ANSWER
Answered 2021-May-13 at 04:04You have installed an extremely old version of OSMnx. Your conda list
output shows you have version 0.7.3 installed, and that was released 3 or 4 years ago. It's so old that it's incompatible with the modern features of GeoPandas and pyproj, including the modern CRS object that's causing your error. I'm not clear how you did it! My best guess is you installed using one of the old tags on this page, which do point to version 0.7.3.
This should be fixed by removing the old environment and then following the installation instructions here, like:
QUESTION
I am currently working on a kaggle dataset House price prediction
It has errors in the latitude and latitude column, so I decided to use geopy to get right values for those two columns.
And it works fine if I use it on one single address but returns None if applied on entire column.
...ANSWER
Answered 2021-May-08 at 16:19The problem is in the address of the dataset. If you use the below try catch code, you can see there are many wrong address in the dataset.
QUESTION
I have to calculate the length of a car ride (not the distance as the crow flies) between two addresses (e.g. "Milano, Piazza Duomo" and "Roma, Piazza Navona") in Python. How can I do this?
I have read the documentation of geopy, but I have not solved anything.
...ANSWER
Answered 2021-May-07 at 14:50def get_distance(point1: dict, point2: dict) -> tuple:
"""Gets distance between two points en route using http://project-osrm.org/docs/v5.10.0/api/#nearest-service"""
url = f"""http://router.project-osrm.org/route/v1/driving/{point1["lon"]},{point1["lat"]};{point2["lon"]},{point2["lat"]}?overview=false&alternatives=false"""
r = requests.get(url)
# get the distance from the returned values
route = json.loads(r.content)["routes"][0]
return (route["distance"], route["duration"])
QUESTION
I am trying to get the address details from Latitude and Longitude using geopy.Nominatim module. Am getting "<'urlopen error [SSL: UNKNOWN_PROTOCOL] unknown protocol (_ssl.c:727)>" error.
...ANSWER
Answered 2021-May-03 at 08:03The error UNKNOWN PROTOCOL
is in all probability due to the fact that your request is going via a proxy.
I looked into your code mentioned in Workaround 2
. Please mention the proxy explicitly in your code. Try using below code lines:
QUESTION
ANSWER
Answered 2021-Apr-27 at 11:29openpyxl
can update xlsx files
QUESTION
I have this python script where I get a list of addresses from a SQL table and then pass them to googles api using Geopy to get them Geocoded then write the data back to a different SQL table.
I'm currently stuck trying to extract out the address parts from address_components.
I've tried quite a few things like converting location.raw
to Json, using other address parsers (but i'm not in the US) and my python is not strong. I also can't just reference the list part directly as different addresses will have different lengths so when I apply it to the dataframe later it fails as the lists arent all the same length. eg loc_raw0.append(location.raw['address_components'][0]['long_name'])
I'm currently trying to use a nested For loop just to get the street number out and then will replicate fo the other parts.
Whats happening is k
will equal 'address_components'
however v
will equal '{'long_name': '46', 'short_name': '46', 'types': ['street_number']}'
and not just 'street_number'
.
ANSWER
Answered 2021-Apr-21 at 01:48In your code, v
is a list of dictionaries and, as far as I understand, you want the long_name
of the dictionary that has a street_number
type. This example should help you:
QUESTION
I have two tables - Dealers and Customers. For each of the customer location from the customer table, I need to find the closest located dealer from the dealer table.
I have a code that works but takes a few hours to run. I need help in optimizing my solution.
The dealer table has 25k+ rows and customer table has 200k+ rows. Both tables have 3 main columns: (DealerID, Lat, Long) and (CustomerID, Lat, Long). My output looks something like this:
CustomerID Lat Long ClosestDealer Distance Customer1 61.61 -149.58 Dealer3 15.53 Customer2 42.37 -72.52 Dealer258 8.02 Customer3 42.42 -72.1 Dealer1076 32.92 Customer4 31.59 -89.87 Dealer32 3.85 Customer5 36.75 -94.84 Dealer726 7.90My current Solution: Iterating through all the rows of data to find the min. distance will take too long. To optimize this, I have grouped the data in both tables based on the rounded down version of lat and long points and then added them together to arrive at my final group (see 'LatLongGroup' column below).
CustomerID Lat Long LatGroup LongGroup LatLongGroup Customer1 61.61 -149.58 61 -149 -88 Customer2 42.37 -72.52 42 -72 -30 Customer3 42.42 -72.1 42 -72 -30 Customer4 31.59 -89.87 31 -89 -58 Customer5 36.75 -94.84 36 -94 -58Both these tables are sorted based on the 'LatLongGroup' column. And I have a separate table called group which provides the starting and ending row number of each group for the dealer table. I then match the records in the dealer table which have the same 'Latlonggroup' as that of the customerID. This helps me narrow down the search for the closest dealer.
But sometimes the closest dealer might not fall within the same group so to avoid any pitfalls, I search not only the group that matches but one above and below too. View Currently Used Code
Please let me know what would be the best way to optimize this or is there an easier way to find closest dealers for a large dataset like this. Any direction is greatly appreciated. Thank you!
...ANSWER
Answered 2021-Apr-17 at 03:45I encountered the same problem a few weeks ago, and I feel the best way would be to use the K-Nearest Neighbors algorithm.
QUESTION
I am using VS and I am trying to run geopy, I installed all the prerequisites and get this error "ModuleNotFoundError: No module named 'geopy.geocoders'; 'geopy' is not a package"
...ANSWER
Answered 2021-Apr-16 at 18:49I suspect the problem lies in you installing the geopy
package in wrong version of python (The one that comes pre-installed in \AppData\Local\Microsoft\WindowsApps\python.exe
is not full install). Grab a version of python (Either anaconda or vanilla python from python website). Let it install in default location, and then point VS code version of python that comes pre-installed with windows. Install geopy
package thorugh pip install geopy, either with VS, or through cmd with conda
or pip
. This should fix your problem.
QUESTION
I'm calculating with Python. Let's say i have this kind of DataFrame where it consists of long lat of some points
...ANSWER
Answered 2021-Apr-10 at 15:27Given a list or list-like object locations
, you can do
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Install geopy
You can use geopy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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