OWSLib | Python package for client programming | Dataset library

 by   geopython Python Version: 0.29.2 License: BSD-3-Clause

kandi X-RAY | OWSLib Summary

kandi X-RAY | OWSLib Summary

OWSLib is a Python library typically used in Artificial Intelligence, Dataset applications. OWSLib 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.

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
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              OWSLib has a low active ecosystem.
              It has 339 star(s) with 266 fork(s). There are 31 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 116 open issues and 248 have been closed. On average issues are closed in 234 days. There are 17 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of OWSLib is 0.29.2

            kandi-Quality Quality

              OWSLib has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              OWSLib is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              OWSLib releases are available to install and integrate.
              Build file is available. You can build the component from source.
              OWSLib saves you 152061 person hours of effort in developing the same functionality from scratch.
              It has 158601 lines of code, 1311 functions and 247 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OWSLib and discovered the below as its top functions. This is intended to give you an instant insight into OWSLib implemented functionality, and help decide if they suit your requirements.
            • Get a single feature
            • Format bbox parameter
            • Get code URN
            • Get the authority code
            • Retrieve records from the server
            • Return an operation by its name
            • Add new namespaces to the root element
            • Invoke the request
            • Gets the WCS coverage for a given bounding box
            • Retrieve feature information from the server
            • Get an observation
            • Generate the GML XML element
            • Parse an XML variable
            • Build the Metadata object
            • Calls GetCoverage API
            • Builds the Metadata object
            • Request an observation
            • Get feature information
            • Construct a Csw30 transaction
            • Get a feature
            • Parse complex data element
            • Performs a getmap operation
            • Wrapper around getCoverage
            • Wrapper for getCoverage
            • Get a list of stored queries
            • Performs a getMap operation
            Get all kandi verified functions for this library.

            OWSLib Key Features

            No Key Features are available at this moment for OWSLib.

            OWSLib Examples and Code Snippets

            No Code Snippets are available at this moment for OWSLib.

            Community Discussions

            QUESTION

            Download GIS data using owslib
            Asked 2020-Aug-14 at 11:26

            I want to create a geopandas dataframe from a url using owslib:

            ...

            ANSWER

            Answered 2020-Aug-14 at 11:26

            The "solution" was to uninstall Anaconda and install an older version (Anaconda3-2019.03)

            then install packages:

            • geopandas
            • owslib

            And update pyproj package

            Source https://stackoverflow.com/questions/63391844

            QUESTION

            Installing cartopy from pip exits with various errors on Linux Ubuntu 18.04
            Asked 2020-Aug-04 at 08:40

            The shell command pip install cartopy led to several errors.

            At first, the following error occurred:

            ...

            ANSWER

            Answered 2020-Aug-04 at 08:40

            After searching solutions to the main error message c++: error: unrecognized command line option '-R', I finally found it in this discussion.

            What I did was searching for the relevant files using the mighty find method:

            Source https://stackoverflow.com/questions/63236626

            QUESTION

            How can I improve the performance of my script?
            Asked 2020-Feb-27 at 18:33

            I have a "seed" GeoDataFrame (GDF)(RED) which contains a 0.5 arc minutes global grid ((180*2)*(360*2) = 259200). Each cell contains an absolute population estimate. In addition, I have a "leech" GDF (GREEN) with roughly 8250 adjoining non-regular shapes of various sizes (watersheds).

            I wrote a script to allocate the population estimates to the geometries in the leech GDF based on the overlapping area between grid cells (seed GDF) and the geometries in the leech GDF. The script works perfectly fine for my sample data (see below). However, once I run it on my actual data, it is very slow. I ran it overnight and the next morning only 27% of the calculations had been performed. I will have to run this script many times and waiting for two days each time, is simply not an option.

            After doing a bit of literature research, I already replaced (?) for loops with for index i in df.iterrows() (or is this the same as "conventional" python for loops) but it didn't bring about the performance imporvement I had hoped for.

            Any suggestion son how I can speed up my code? In twelve hours, my script only processed only ~30000 rows out of ~200000.

            My expected output is the column leech_df['leeched_values'].

            ...

            ANSWER

            Answered 2020-Feb-27 at 18:33
            Introduction

            It might be worthy to profile your code in details to get precise insights of what is your bottleneck.

            Bellow some advises to already improve your script performance:

            Eg. this line:

            Source https://stackoverflow.com/questions/60338228

            QUESTION

            Why does geopandas throw an assertion error, when the conditions seems to be met?
            Asked 2020-Jan-22 at 15:14

            I am trying to make a WFS request and create a GeoDataFrame (from the geopandas library) with this data. However, when I run my code, an assert raises an error:

            ...

            ANSWER

            Answered 2020-Jan-22 at 15:14

            You don't have a list with four elements, you have a string.

            To solve this, split your string to create a list before the assert, like bb = bb.split(',').

            Source https://stackoverflow.com/questions/59860075

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

            Vulnerabilities

            No vulnerabilities reported

            Install OWSLib

            You can download it from GitHub.
            You can use OWSLib 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/geopython/OWSLib.git

          • CLI

            gh repo clone geopython/OWSLib

          • sshUrl

            git@github.com:geopython/OWSLib.git

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