geonamescache | Python library for quick access | Dataset library

 by   yaph Python Version: 2.0.0 License: MIT

kandi X-RAY | geonamescache Summary

kandi X-RAY | geonamescache Summary

geonamescache is a Python library typically used in Artificial Intelligence, Dataset applications. geonamescache has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install geonamescache' or download it from GitHub, PyPI.

geonamescache - a Python library for quick access to a subset of GeoNames data.
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            kandi-support Support

              geonamescache has a low active ecosystem.
              It has 81 star(s) with 34 fork(s). There are 3 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 8 open issues and 17 have been closed. On average issues are closed in 230 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of geonamescache is 2.0.0

            kandi-Quality Quality

              geonamescache has 0 bugs and 9 code smells.

            kandi-Security Security

              geonamescache has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              geonamescache code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              geonamescache 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

              geonamescache releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              geonamescache saves you 180 person hours of effort in developing the same functionality from scratch.
              It has 445 lines of code, 26 functions and 15 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed geonamescache and discovered the below as its top functions. This is intended to give you an instant insight into geonamescache implemented functionality, and help decide if they suit your requirements.
            • Returns a dataset by name
            • Get a dataset by key
            • Returns a list of us_states
            • Returns the list of available countries
            • Load data
            • Check the status of an account
            Get all kandi verified functions for this library.

            geonamescache Key Features

            No Key Features are available at this moment for geonamescache.

            geonamescache Examples and Code Snippets

            No Code Snippets are available at this moment for geonamescache.

            Community Discussions

            Trending Discussions on geonamescache

            QUESTION

            Pandas loc error due to missing labels in csv file
            Asked 2020-May-03 at 09:11

            I'm looking at the Choropleth tutorial here.

            When I tried to run it I got the following error for line df = df.ix[iso3_codes].dropna():

            ...

            ANSWER

            Answered 2020-May-03 at 09:11

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

            Vulnerabilities

            No vulnerabilities reported

            Install geonamescache

            You can install using 'pip install geonamescache' or download it from GitHub, PyPI.
            You can use geonamescache 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 geonamescache

          • CLONE
          • HTTPS

            https://github.com/yaph/geonamescache.git

          • CLI

            gh repo clone yaph/geonamescache

          • sshUrl

            git@github.com:yaph/geonamescache.git

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