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kandi X-RAY | data.gov Summary
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QUESTION
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 13:29QUESTION
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 10:49For splitting up the data you can use a streaming parser such as ijson e.g.
QUESTION
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 15:42As 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:
QUESTION
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 18:59I've managed to find button with find_elements_by_css_selector
QUESTION
ANSWER
Answered 2021-Dec-26 at 09:12The 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.
QUESTION
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 01:30In 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.
QUESTION
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 12:02Since 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 `'.
QUESTION
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 07:09Results 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:
QUESTION
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 15:26Try pd.json_normalize
:
QUESTION
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 23:31I 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:
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