data.gov | Main repository for the data.gov service

 by   GSA Shell Version: Current License: Non-SPDX

kandi X-RAY | data.gov Summary

kandi X-RAY | data.gov Summary

data.gov is a Shell library typically used in Telecommunications, Media, Media, Entertainment, Devops applications. data.gov has no bugs, it has no vulnerabilities and it has low support. However data.gov has a Non-SPDX License. You can download it from GitHub.

Contribution or Collaboration on any code repository is encouraged; while we prefer technical questions be reserved to Github (preferably to the repositories above). We are equally as happy to take any feedback through Github as Github Issues or Pull Requests on any repository. We are always looking for feedback, feature requests, or technical inquiries on this repository or by email at datagov**@**gsa.gov. If you are a human that considers themselves or aspires to be a developer, security engineer, designer, editor/writer, or general innovator; we encourage you to take initiative and participate. Data.gov is an open data website created by the U.S. General Services Administration that is based on two robust open source projects: CKAN and WordPress. The data catalog at catalog.data.gov is powered by CKAN, while the content seen at Data.gov is powered by WordPress.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              data.gov has a low active ecosystem.
              It has 319 star(s) with 89 fork(s). There are 41 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 403 open issues and 2399 have been closed. On average issues are closed in 120 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of data.gov is current.

            kandi-Quality Quality

              data.gov has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              data.gov has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              data.gov releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of data.gov
            Get all kandi verified functions for this library.

            data.gov Key Features

            No Key Features are available at this moment for data.gov.

            data.gov Examples and Code Snippets

            No Code Snippets are available at this moment for data.gov.

            Community Discussions

            QUESTION

            How to split a font file to multiple parts?
            Asked 2022-Mar-27 at 13:29

            How to split a font file to multiple parts automatically?

            Why do I need this? Because as up to Chrome 99, it limits maximum uncompressed file size of a font to 30 MB. See https://chromium.googlesource.com/external/ots/+/v6.1.1/src/ots.cc

            Additionally, Chinese fonts often excceed 30 MB per file. For example, CNS11643 fonts: https://data.gov.tw/dataset/5961

            Thus, I need an automation tool to split a font file.

            ...

            ANSWER

            Answered 2022-Mar-27 at 13:29

            FontForge app supports Python scripting, which can be used to achieve automatic font splitting.

            This is an example script 2.

            Source https://stackoverflow.com/questions/71636758

            QUESTION

            Opening a large JSON file and converting it to CSV
            Asked 2022-Feb-18 at 10:49

            I'm trying to convert a large JSON file (4.35 GB) to CSV.

            My initial approach was importing it, converting it to a data frame (I only need what's in features), doing some data manipulation, and exporting it to CSV.

            ...

            ANSWER

            Answered 2022-Feb-18 at 10:49

            For splitting up the data you can use a streaming parser such as ijson e.g.

            Source https://stackoverflow.com/questions/71144743

            QUESTION

            avioid repetition converting multiple strings to floats
            Asked 2022-Jan-20 at 16:12

            I am running a flask app that effectively scrapes data from https://coronavirus.data.gov.uk/ api and I have a question about formatting (trying not to be repetitive)

            So the code in question takes in arguments and parameters for the data and is as follows:

            ...

            ANSWER

            Answered 2022-Jan-20 at 15:42

            As a note, I am not entirely certain (since I like to try out code, but can't execute yours, and I am not sure if I understood your question correctly), but you might try this:

            Source https://stackoverflow.com/questions/70788970

            QUESTION

            Trying to get Selenium to scrape table and click button
            Asked 2021-Dec-29 at 18:59

            I hacked together the code below to try to scrape data from an HTML table, to a data frame, and then click a button to move to the next page, but it's giving me an error tat says 'invalid selector'.

            ...

            ANSWER

            Answered 2021-Dec-29 at 18:59

            I've managed to find button with find_elements_by_css_selector

            Source https://stackoverflow.com/questions/70523622

            QUESTION

            .Between function not working as expected
            Asked 2021-Dec-26 at 20:16

            I am encountering some issues when using the .between method in Python.

            I have a simple dataset consisting of ~59000 records

            The date format is in DD/MM/YYYY and I would like to filter the days in the month of April in the year 2014.

            ...

            ANSWER

            Answered 2021-Dec-26 at 09:12

            The first problem is your date column isn't a date but an object column.

            Ensure you column is really a date by using the pandas to_datetime function.

            Source https://stackoverflow.com/questions/70485122

            QUESTION

            Import large table from website and always grab first row
            Asked 2021-Dec-24 at 01:30

            I need to import the first row of the table in this website: http://www.ipeadata.gov.br/ExibeSerie.aspx?serid=40940&module=M

            Tried IMPORTDATA and IMPORTHTML (and after would find a way to get the first row) but it exceeds maximum size.

            Any idea how this could be done?

            ...

            ANSWER

            Answered 2021-Dec-24 at 01:30

            In your situation, how about using a custom function created by Google Apps Script? When Google Apps Script is used, the current URL Fetch response size is 50 MB. Ref By this, I thought that your goal might be able to be achieved.

            Sample script:

            Please copy and paste the following script to the script editor of Google Spreadsheet. And please put a custom function of =SAMPLE("http://www.ipeadata.gov.br/ExibeSerie.aspx?serid=40940&module=M") to a cell. By this, the script is run.

            Source https://stackoverflow.com/questions/70468500

            QUESTION

            Converting XML to dataframe
            Asked 2021-Dec-17 at 12:02

            I want to convert a XML to a dataframe. I'm aware of XML::xmlToDataFrame, but it gives an error in my case. The XML can be found here: https://api.data.gov.hk/v1/historical-archive/get-file?url=https%3A%2F%2Fresource.data.one.gov.hk%2Ftd%2Ftraffic-detectors%2FrawSpeedVol-all.xml&time=20211216-0513

            Thanks for all answers!

            ...

            ANSWER

            Answered 2021-Dec-17 at 12:02

            Since your XML file contains multiple nested children, XML::xmlToDataFrame was giving out error.

            I've approached the problem using the naive method but it works! Here's what I've done:

            The following code creates a dataframe with the tags inside `'.

            Source https://stackoverflow.com/questions/70391509

            QUESTION

            How do I convert a rdflib.term.URIRef back into a string that includes a namespace prefix?
            Asked 2021-Dec-17 at 07:09

            I am working with rdflib. I am parsing Turtle files that include namespace prefixes. When I get my triples back from the SPARQL query, they contain rdflib.term.URIRef elements, which print as things like this:

            ...

            ANSWER

            Answered 2021-Dec-17 at 07:09

            Results from SPARQL queries are not themselves RDF but SPARQL Results formats (see https://www.w3.org/TR/2013/REC-sparql11-results-json-20130321/).

            This means results like http://resources.data.gov/resources/dcat-us/#public are strings in JSON or XML and not RDFlib's URIRef objects which can easily be prefixed.

            To compress those URIs down with the given prefixes, don't SPARQL query but loop through the graph and use the Namespace Manager's qname() function like this:

            Source https://stackoverflow.com/questions/69887338

            QUESTION

            Extract data from API and store the records in a Pandas dataframe
            Asked 2021-Dec-16 at 15:26

            I am looking at the following website: https://data.gov.sg/dataset/bunker-sales-monthly?resource_id=44da3191-6c57-4d4a-8268-8e2c418d4b43 and they have the following example for extracting data using their API:

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:26

            Try pd.json_normalize:

            Source https://stackoverflow.com/questions/70381327

            QUESTION

            Issues Parsing JSON "None" with jsonlite
            Asked 2021-Dec-03 at 23:31

            I am trying to read in some data from the UK covid dashboard on vaccination data that encodes some of the data as JSON within a csv file. (Download link is here) from the Vaccination uptake, by vaccination date age demographics on the page (https://coronavirus.data.gov.uk/details/vaccinations?areaType=nation&areaName=England). The issue raised is that my code no longer successfully expands the JSON data into a data.frame. This seems to be a parsing issue when the data runs into a None object.

            My code reads in the data as follows (this code was successful on the data downloaded on 2021-11-25, but failed with the 2021-12-02 data). The code below fails on the fromJSON command which now errors when it reaches a "Arg": None claiming a lexical error. The error message is shown below the code.

            ...

            ANSWER

            Answered 2021-Dec-03 at 23:31

            I have managed to solve this issue as the possible json mappings are discussed in the jsonlite docs here: https://cran.r-project.org/web/packages/jsonlite/vignettes/json-mapping.pdf

            With foreknowledge that the data is intended to be numeric type and that None is not contained in any of the indicator names we can replace the None string with an "NA" using the following code:

            Source https://stackoverflow.com/questions/70212171

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

            Vulnerabilities

            No vulnerabilities reported

            Install data.gov

            You can download it from GitHub.

            Support

            We're so glad you're thinking about contributing to Data.gov!. Before contributing to Data.gov we encourage you to read our CONTRIBUTING guide, our LICENSE, and our README (you are here), all of which should be in this repository. If you have any questions, you can email the Data.gov team at datagov@gsa.gov.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/GSA/data.gov.git

          • CLI

            gh repo clone GSA/data.gov

          • sshUrl

            git@github.com:GSA/data.gov.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Shell Libraries

            awesome

            by sindresorhus

            ohmyzsh

            by ohmyzsh

            realworld

            by gothinkster

            nvm

            by nvm-sh

            papers-we-love

            by papers-we-love

            Try Top Libraries by GSA

            data

            by GSAHTML

            datagov-wptheme

            by GSAJavaScript

            code-gov-web

            by GSATypeScript

            https

            by GSAPython

            fedramp-automation

            by GSATypeScript