jpx | JPX - Java GPX library | Map library
kandi X-RAY | jpx Summary
kandi X-RAY | jpx Summary
JPX is a Java library for creating, reading and writing GPS data in GPX format. It is a full implementation of version 1.1 and version 1.0 of the GPX format. The data classes are completely immutable and allows a functional programming style. They are working also nicely with the Java 8 Stream API. It is also possible to convert the location information into strings which are compatible to the ISO 6709 standard. Beside the basic functionality of reading and writing GPX files, the library also allows to manipulate the read GPX object in a functional way.
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Top functions reviewed by kandi - BETA
- Calls the super method from the specified input stream
- Reads a long
- Decodes an inner long
- Reads an int
- Read an element
- Throws an unexpected element exception
- Returns true if there are more tokens to consume
- Calls the writes of this object to the specified stream
- Write this object to the specified output stream
- Parse a time string into an Instant object
- Performs a colorization process
- Processes HTML files
- Adds a point
- Sets whether or not the string should sign
- Read the contents of the given XML stream
- Parse the given XML
- Create optional field optional
- Generates an iterator that iterates over the data
- Checks that the given extensions are valid
- Parse string
- Parse a character sequence
- Parses a character sequence
- Reads an XML document and converts it to a Document
- Colorize a directory
- Remove namespace
- Converts a point to a bounding box
jpx Key Features
jpx Examples and Code Snippets
Community Discussions
Trending Discussions on jpx
QUESTION
I am working with .tif images. I try to read a .tif image in order to access it later on pixel level and read some values. The error that I get when using Pillow is this:
...ANSWER
Answered 2022-Mar-13 at 14:09Your image is 4-channels of 32-bits each. PIL doesn’t support such images - see Available Modes here.
I would suggest tifffile or OpenCV’s cv2.imread(…, cv2.IMREAD_UNCHANGED)
QUESTION
ANSWER
Answered 2021-Nov-24 at 16:25It seams PIL and crop has some problems with LZW compression. Removing the compression with Photoshop makes the script running like expected.
QUESTION
There is this URL https://www.jpx.co.jp/english/listing/stocks/new/index.html#3422
I wrote(copy&paste from internet!) the following code to save all the pdfs which are inside the table in a folder
...ANSWER
Answered 2021-Mar-18 at 16:51I would recommend installing our new package, pdftextract, that conserves the pdf layout as best as possible to extract text, then using some regex to extract the keywords.
Here's a working code snippet tested on 2 pdf files from your link:
QUESTION
The below script aims to plot the opening times of Asia, London and New York for Daily and Weekly.
It displays Market Regular Opening hours as per the below links (For daily and weekly):
Tokyo https://www.tradinghours.com/markets/jpx/hours
London https://www.tradinghours.com/markets/lse/hours
New York https://www.tradinghours.com/markets/nyse/hours
It displays perfectly on the 1 min timeframe but I cant see why it will not display on other timeframes.
I thought it was the below line of code so changed it but still no joy.
...ANSWER
Answered 2021-Feb-10 at 18:24In this form it works on all intraday timeframes.
QUESTION
I have this query, it works but I'm not sure if it's the best approach and I don't get what I want.
I need to select the query contained in the "IN" clause first, then union with others. Entire row returned must be 40.
...ANSWER
Answered 2020-Dec-30 at 21:21The next query should to return same data in simple way:
QUESTION
In Python, I want to scrape the table in a website(it's a Japanese option trading information), and store it as a pandas dataframe.
The website is here, and you need to click "Options Quotes" in order to access the page where I want to scrape the table. The final URL is https://svc.qri.jp/jpx/english/nkopm/ but you cannot directly access this page.
Here is my attempt:
...ANSWER
Answered 2020-Sep-18 at 17:26Reading the documentation of the pandas function read_html it says
Read HTML tables into a list of DataFrame objects.
So the function expects structured input in form of an html table. I actually can't access the website you're linking to but I'm guessing it will give you back an entire website.
You need to extract the data in a structured format in order for pandas to make sense of it. You need to scrape it. There's a bunch of tools for that, and one popular one is BeautifulSoup.
Tl;dr: So what you need to do is download the website with requests, pass it into BeautifulSoup and then use BeautifulSoup to extract the data in a structured format.
Updated answer:
Seems like the reason why the requests is returning a 400 is because the website is expecting some additional headers - I just dumped the request my browser does into requests and it works!
QUESTION
I'm seeing mixed information about GhostScript's handling of JPEG2000. Can GS generate PDFs with JP2 (JPX) compressed image content?
If so, what are the appropriate arguments?
...ANSWER
Answered 2020-Sep-14 at 19:05The simple answer here is 'no'.
QUESTION
Hello, I am currently making a Django Application that makes use of django allauth and Google Auth
Issue is that when I login using django allauth and try to access the route /profile/view/
It throws this huge error at me, below is just the minified version
For more help this is the code for the following files ...
models.py
ANSWER
Answered 2020-Aug-20 at 13:58Change this:
QUESTION
Using Pandas in Python, I want to download a csv file from this website but the download link contains some random characters so I want to know how to automate it.
It's a financial trading data which gets updated everyday. The csv file I want to download is the one in the red square in the top row. Everyday, a new row is added on the top and I want to automate a downloading of this csv.
My plan was to automatically import the csv to pandas in Python, by dynamically creating url string using the date of the day. The example of a url looks like this:
https://www.jpx.co.jp/markets/derivatives/participant-volume/nlsgeu000004vd5b-att/20200731_volume_by_participant_whole_day.csv
And here is my Python script.
...ANSWER
Answered 2020-Aug-04 at 16:34I would scrape the website as you suggested. It seems like it would be very easy to do this (as long as these elements are not dynamically generated using javascript) and would remove possible future issues you could get with regex if you assume the url pattern incorrectly:
- Use GET request to pull html from page (use
requests) - Use BeautifulSoup to extract the url you want
QUESTION
I want to download a .csv file from this website(to directly download the csv, here). The problem I'm facing is, the row where i want to start importing has fewer columns than than rows in the later part, and I just cannot figure out how to read into pandas.
Indeed, this csv file is quite not beautiful.
Here is how I want to import the csv in pandas:
Ignore the first row where there are "Trade Date"
Separate data frame between sections(using for loop, separate wherever there is a blank row)
Store JPX Code(such as 16509005) and Instrument(such as FUT_TOPIX_2009) in additional columns.
Set headers ['institutions_sell_code', 'institutions_sell', 'institutions_sell_eng', 'amount_sell', 'institutions_buy_code', 'institutions_buy', 'institutions_buy_eng', 'amount_buy', 'JPX_code', 'instrument']
So the expected outcome will be:
Here is my try. I first tried to read the whole data into pandas:
...ANSWER
Answered 2020-Aug-02 at 10:48Pandas does not really support multiple documents in one CSV file like you have. What I have done to solve this, which worked fine, takes two steps:
- Call
read_csv(use_cols=[0])once to read the leftmost column. Use this to determine where each table starts and ends. - Open the file using
open()just once, and for each table determined in step 1, callread_csv(skiprows=SKIP, nrows=ROWS)with appropriate values to read one table at a time. This is the key: by only letting Pandas read the properly rectangular rows, it will not become angry at the unhygienic nature of your CSV file.
Opening the file just once is an optimization, to avoid scanning it over and over every time you execute step 2. You can actually use the same opened file object for step 1 as well, if you seek(0) to return to the beginning before beginning step 2.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install jpx
You can use jpx like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the jpx component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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