geopy | Fork of http : //code.google.com/p/geopy/

 by   ulope Python Version: Current License: MIT

kandi X-RAY | geopy Summary

kandi X-RAY | geopy Summary

geopy is a Python library. geopy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

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            kandi-support Support

              geopy has a low active ecosystem.
              It has 7 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              geopy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of geopy is current.

            kandi-Quality Quality

              geopy has no bugs reported.

            kandi-Security Security

              geopy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              geopy is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              geopy releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed geopy and discovered the below as its top functions. This is intended to give you an instant insight into geopy implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            geopy Key Features

            No Key Features are available at this moment for geopy.

            geopy Examples and Code Snippets

            No Code Snippets are available at this moment for geopy.

            Community Discussions

            QUESTION

            Finding the distance between latlong
            Asked 2021-May-27 at 20:39

            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 12:00

            QUESTION

            Getting TypeError: argument of type 'CRS' is not iterable with OSMnx Package
            Asked 2021-May-13 at 04:04

            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 04:04

            You 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:

            Source https://stackoverflow.com/questions/67510332

            QUESTION

            How to get latitude and latitude for an address column in a dataframe using geopy?
            Asked 2021-May-08 at 16:19

            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 16:19

            The 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.

            Source https://stackoverflow.com/questions/67448887

            QUESTION

            how can i calculate the length of a car ride?
            Asked 2021-May-07 at 14:50

            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 14:50
            def 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"])
            

            Source https://stackoverflow.com/questions/67437057

            QUESTION

            Reverse gecoding - geopy.Nominatim module throws urlopen error [SSL: UNKNOWN PROTOCOL]
            Asked 2021-May-03 at 08:03

            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 08:03

            The 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:

            Source https://stackoverflow.com/questions/66979039

            QUESTION

            How to write multiple rows in column excel python?
            Asked 2021-Apr-27 at 11:29

            I have 'column A' contains Hotel Name, i want to write 'loc.address' for each hotel at 'column B' in excel

            ex:

            i use this code:

            ...

            ANSWER

            Answered 2021-Apr-27 at 11:29

            openpyxl can update xlsx files

            Source https://stackoverflow.com/questions/67279986

            QUESTION

            Geopy Google v3 - Extracting address components from location.raw
            Asked 2021-Apr-21 at 01:48

            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 01:48

            In 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:

            Source https://stackoverflow.com/questions/67187163

            QUESTION

            Find the dealer nearest to the given customer location when the dealer data set has 25k+ records and customer has 200k+ records using Python
            Asked 2021-Apr-17 at 05:24

            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 7.90

            My 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 -58

            Both 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 03:45

            I encountered the same problem a few weeks ago, and I feel the best way would be to use the K-Nearest Neighbors algorithm.

            Source https://stackoverflow.com/questions/67133408

            QUESTION

            ModuleNotFoundError: No module named 'geopy.geocoders'; 'geopy' is not a package
            Asked 2021-Apr-16 at 18:49

            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 18:49

            I 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 geopypackage thorugh pip install geopy, either with VS, or through cmd with conda or pip. This should fix your problem.

            Source https://stackoverflow.com/questions/67130266

            QUESTION

            How to create distance table using geodesic
            Asked 2021-Apr-10 at 15:27

            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 15:27

            Given a list or list-like object locations, you can do

            Source https://stackoverflow.com/questions/67030182

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install geopy

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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