censusgeocode | Python wrapper for the US Census Geocoder | Wrapper library

 by   fitnr Python Version: 0.5.2 License: GPL-3.0

kandi X-RAY | censusgeocode Summary

kandi X-RAY | censusgeocode Summary

censusgeocode is a Python library typically used in Manufacturing, Utilities, Aerospace, Defense, Utilities, Wrapper applications. censusgeocode has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install censusgeocode' or download it from GitHub, PyPI.

Python wrapper for the US Census Geocoder
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            kandi-support Support

              censusgeocode has a low active ecosystem.
              It has 60 star(s) with 22 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 17 have been closed. On average issues are closed in 154 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of censusgeocode is 0.5.2

            kandi-Quality Quality

              censusgeocode has 0 bugs and 4 code smells.

            kandi-Security Security

              censusgeocode has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              censusgeocode code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              censusgeocode is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              censusgeocode releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              censusgeocode saves you 121 person hours of effort in developing the same functionality from scratch.
              It has 306 lines of code, 22 functions and 6 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed censusgeocode and discovered the below as its top functions. This is intended to give you an instant insight into censusgeocode implemented functionality, and help decide if they suit your requirements.
            • Assign data to a batch file
            • Post address batch
            • Parse the results of a batch query
            • Construct the URL for the given searchtype
            • Get oneline records for a given address
            • Fetch data from Census API
            Get all kandi verified functions for this library.

            censusgeocode Key Features

            No Key Features are available at this moment for censusgeocode.

            censusgeocode Examples and Code Snippets

            Census Geocode
            Pythondot img1Lines of Code : 76dot img1License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            import censusgeocode as cg
            
            cg.coordinates(x=-76, y=41)
            cg.onelineaddress('1600 Pennsylvania Avenue, Washington, DC')
            cg.address('1600 Pennsylvania Avenue', city='Washington', state='DC', zip='20006')
            cg.addressbatch('data/addresses.csv')
            
            cg.oneline  
            Command line tool
            Pythondot img2Lines of Code : 11dot img2License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            censusgeocode '100 Fifth Avenue, New York, NY'
            -73.992195,40.73797
            
            censusgeocode '1600 Pennsylvania Avenue, Washington DC'
            -77.03535,38.898754
            
            censusgeocode 'Hollywood & Vine, LA, CA'
            -118.32668,34.101624
            
            unique id, street address, state, city  
            Census Geocode,Advanced
            Pythondot img3Lines of Code : 3dot img3License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            from censusgeocode import CensusGeocode
            cg = CensusGeocode(benchmark='Public_AR_Current', vintage='Census2020_Current')
            cg.onelineaddress(foobar)
              

            Community Discussions

            QUESTION

            Alternatives to using an interator for variable names
            Asked 2021-Mar-10 at 14:48

            I am relatively new to Python, coming from a Stata background, and am still struggling with some core Python concepts. For example, i'm currently working on a small program that hits the US Census Bureau API to geocode some addresses and my instinct is to loop over my csv files, feed them into the API call, and then name the output(s) sequentially using the iterator. E.g.

            ...

            ANSWER

            Answered 2021-Mar-10 at 14:16

            Maybe you coud create one main DataFrame and add to it an extra field representing i, Then, while looping over your CSV files, you could load the data as a new DataFrame, add the i-field to every line and append the read data to your main DataFrame.

            p.s. in k = cg.addressbatch('dta/batchfiles/split_test ' + str(i) + '.csv') I would recommend the use os.path.join() for this purpose

            Source https://stackoverflow.com/questions/66566103

            QUESTION

            Referring to returned output from function that splits up a dataframe
            Asked 2021-Mar-10 at 12:50

            I'm trying to build a small program that uses the censusgeo package to interact with the US Census Bureau API address batch facility. The API has a limit of 10,000 addresses in any single call but my dataframe has approx. 3 million rows. As such I want to split the dataframe into N parts, each comprising roughly 10,000 rows, and then feed each one into the API call, extract the output and append it all together.

            I found this stackoverflow post which has been quite helpful in giving me a function to split my df. It doesn't return dataframes though (e.g. they don't show up if I run %who_ls DataFrame) and I don't know how to call the outputs individually in order to then feed them into an API call.

            This is the function i'm using to split the dataframe:

            ...

            ANSWER

            Answered 2021-Mar-10 at 12:50

            I think i've found a solution to my question. If I assign the function call to an object, I can then access the different chunks it creates using standard indexing notation. E.g.

            Source https://stackoverflow.com/questions/66564664

            QUESTION

            Census Goecoding Issue
            Asked 2021-Feb-24 at 02:01

            I am trying to do a simple geocode operation that I have been able to do many times in the past. This simple code no longer works, because it returns this output. {'States': [], 'Counties': [], '2020 Census Blocks': [], 'Census Tracts': []}. What could possibly explain this? I have run this code many times in the past and I have never seen this before.

            ...

            ANSWER

            Answered 2021-Feb-24 at 02:01

            x is the longitude and y is the latitude. You need to swap them, like this:

            Source https://stackoverflow.com/questions/66342110

            QUESTION

            Downloading blocks of data from census, how to wrtie to multiple csvs to not exceed memory
            Asked 2020-Jan-10 at 17:23

            Suppose I have a list of api keys I am downloading from the census data

            Example:

            ...

            ANSWER

            Answered 2020-Jan-10 at 17:23

            It looks like you're already chunking the variable_lists here:

            Source https://stackoverflow.com/questions/59671362

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

            Vulnerabilities

            No vulnerabilities reported

            Install censusgeocode

            You can install using 'pip install censusgeocode' or download it from GitHub, PyPI.
            You can use censusgeocode 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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            Install
          • PyPI

            pip install censusgeocode

          • CLONE
          • HTTPS

            https://github.com/fitnr/censusgeocode.git

          • CLI

            gh repo clone fitnr/censusgeocode

          • sshUrl

            git@github.com:fitnr/censusgeocode.git

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