Parse simple table

Error processing SSI file

Answers

  1. Theo

    • 2017/8/18
     perl -nE 'say m/(locus_tag=\S*)/ ? $1 : q/-/'
    
  2. Huxley

    • 2021/10/24

    Hands down the easiest way to parse a HTML table is to use pandas. read_html() - it accepts both URLs and HTML. Only downside is that read_html() doesn't preserve hyperlinks. If the HTML is not XML you can't do it with etree.

  3. Salvador

    • 2019/2/26

    5.We will now use BeautifulSoup to parse through the HTML. # Parse the HTML pages from bs4 import BeautifulSoup tutorialpoints_page = BeautifulSoup(response.text, 'html.parser') print(f"*** The title of the page is - {tutorialpoints_page.title}") # You can extract the page title as string as well print(f"*** The title of the page is

  4. Ferri

    • 2018/1/19

    Beautiful Soup is a Python package for parsing HTML and XML documents. It creates a parse tree for parsed pages that can be used to extract 

  5. Hassan

    • 2019/4/8
    $ awk '{print (match($0,/locus_tag=[^[:space:]]*/) ? substr($0,RSTART,RLENGTH) : "-")}' file
    locus_tag=HAPS_0907
    locus_tag=HAPS_2029
    -
    
  6. Parker

    • 2020/11/10

    I need a bash script that takes the output of a shell command and parses that output to pull out the id, and website url for each line in the table that can then be used to execute additional bash commands. Here's an example of the command output.

  7. Sincere

    • 2021/1/16

    files.

  8. Dariel

    • 2020/4/28

    After obtaining it as a DataFrame, it is of course possible to do Web Scraping with Pandas and Beautifulsoup Web scraping. Pandas has a neat concept known as a DataFrame. A DataFrame can hold data and be easily manipulated.

  9. Chandler

    • 2019/5/16

    You were pretty close:

    $ awk -F'\t' '{ for(i=1; i<=NF; i++) if($i ~/locus_tag=/) {print $i; next} {print "-"}}' a
    GeneID_2=7277058    location=890211..892127 locus_tag=HAPS_0907 orientation=+
    GeneID_2=7278144    gene=rlmL   location=complement(1992599..1994776)   locus_tag=HAPS_2029
    -
    

    What you had:

    { for(i=1; i<=NF; i++) if($i ~/locus_tag=/) {print $i}; {for(i=1; i<=NF; i++) if($i !=/locus_tag=/) {print "-"}} }'
    

    What I wrote:

    { for(i=1; i<=NF; i++) if($i ~/locus_tag=/) {print $i; next} {print "-"}}
                                                           ^^^^  ^^^^^^^^^^^
                            if found, print and go to next line        |
        if you arrive here, it is because you did not find the pattern, so print dash
    
  10. Reid

    • 2018/2/17

    Python code example 'Parse an HTML table and write to a CSV' for the package beautifulsoup, powered by Kite.

  11. Crosby

    • 2018/10/3

    A parsing rule is basically a set of instructions that tell our algorithm what kind of data you want to extract from your documents. Typically you will have one parsing rule for each data field inside your document.

  12. Marvin

    • 2017/5/24

    A parser to parse table style output from shell. Contribute to neekey/table-parser development by creating an account on GitHub.

  13. Levi

    • 2018/1/20

    With awk:

    awk '/locus_tag/{for(x=1;x<=NF;x++) if($x~/^locus_tag=/) print $x;next}{print "-"}' file
    
  14. Hezekiah

    • 2015/2/16

    To parse the table, we are going to use the Python library BeautifulSoup. It constructs a tree from the HTML and gives you an API to access different elements of the webpage. Let’s say we already have our table object returned from BeautifulSoup.

  15. Rocco

    • 2019/7/4

    Try this l = [] for tr in table_rows: td = tr.find_all('td') row = [tr.text for tr in td] l.​append(row) pd.DataFrame(l, columns=["A", "B", ]).

  16. Perez

    • 2018/8/14

    To scrape a website using Python, you need to perform these four basic steps: Sending an HTTP GET request to the URL of the webpage that you want to scrape, which will respond with HTML content. Fetching and parsing the data using Beautifulsoup and maintain the data in some data structure such as Dict or List.

  17. Robinson

    • 2020/3/10
    perl -lpe '($_)= (/(locus_tag=\S+)/, "-")' file
    

    output

    locus_tag=HAPS_0907
    locus_tag=HAPS_2029
    -
    
  18. Longo

    • 2019/5/26

    How to parse text and metadata from files online Click inside the file drop area to upload a file or drag & drop a file. Click "Get Text and Metadata" button to extract a text and metadata from your document. Click "Get Images" button to extract images from your document.

  19. Kobe

    • 2015/12/4

    What is a document parser?

  20. Adrian

    • 2015/12/11

    Perquisites: Web scrapping using Beautiful soup, XML Parsing Scraping is a very essential skill that everybody should learn, It helps us to scrap data from a website or a file that can be used in another beautiful manner by the programmer. In this article, we will learn how to Extract a Table from a website and XML from a file.

  21. Korbin

    • 2017/1/3

    You can play with the FS, to make it easier:

    awk -F'locus_tag=' 'NF>1{sub(/\s.*/,"",$2);print FS $2;next}$0="-"' f  
    locus_tag=HAPS_0907
    locus_tag=HAPS_2029
    -
    
  22. Langston

    • 2016/6/29

    What is a document parser?

  23. Dilan

    • 2019/6/8

    2. index_col : The column to use to create the index 3. skiprows : Number of rows to skip after parsing column integer 4. You can also target a specific table in another way pandas.read_html(URL,attrs = {'html_tag' : 'value'}) we can directly target an HTML tag corresponding to the required table by inspecting the table. how can I inspect a table?

  24. Bentlee

    • 2017/3/29

    Parser free online app! Fast and easy DOC document parser; Parse DOC documents from anywhere. It works from all platforms including Windows, Mac, Android 

  25. Anthony

    • 2021/5/16

    With perl:

    perl -ne 'print /(locus_tag=.*?)\s/?"$1\n":"-\n"' file
    locus_tag=HAPS_0907
    locus_tag=HAPS_2029
    -
    
  26. Nicholas

    • 2021/1/11

    Parse-O-Matic is a tool for programmers who want to make complex changes to a file and want to learn a new scripting language to do so. Luckily, the language itself is straightforward and supports

  27. Everett

    • 2018/3/22

    Tools are encouraged to be small, use plain text files for input and output, and operate in a For instance, it is excellent at parsing and manipulating tabular data. User UID GID Home Shell -------------- root 0 0 /root /bin/bash daemon 1 1​ 

  28. Greyson

    • 2020/7/9

    The table format prints output as an ASCII table, making it easy to read and scan. Nested objects aren't included in table output, but can still be filtered as part of a query. Some fields aren't included in the table, so this format is best when you want a quick, human-searchable overview of data.

  29. Chris

    • 2016/10/18

    reports using OCR and extract tables to excel sheets or to database software.

  30. Giovanni

    • 2018/3/23

    Pandas has a neat concept known as a DataFrame. A DataFrame can hold data and be easily manipulated. We can combine Pandas with Beautifulsoup to quickly get data from a webpage. If you find a table on the web like this:

  31. Bode

    • 2015/3/11

    .

  32. Brady

    • 2019/5/7

    BeautifulSoup is among the widely used frameworks based on Python that makes scraping using this language such an easy route to take. These highly evolved web scraping libraries make Python the

  33. Colin

    • 2017/1/4

    As HTML tables are well defined, I did some quick googling to see if there was some recipe or lib to parse them and I found a link to pandas.

  34. Gallo

    • 2018/1/31

    Parsing HTML Tables in Python with pandas. Benjamin Bertrand 2018-03-27 22:31. Comments. Source. Not long ago, I needed to parse some HTML tables from our confluence

  35. Victor

    • 2018/10/17

    As HTML tables are well defined, I did some quick googling to see if there was some recipe or lib to parse them and I found a link to pandas.

  36. Harlem

    • 2016/5/1

    To parse the table, we are going to use the Python library BeautifulSoup. It constructs a tree from the HTML and gives you an API to access different elements of the webpage. Let's say we already have our table object returned from BeautifulSoup.

  37. Jay

    • 2018/5/6

    This article describes how to read HTML tables from Wikipedia or other For the first example, we will try to parse this table from the Politics 

  38. Mariani

    • 2015/1/31

    Here we will use the package BeautifulSoup4 for parsing HTML in Python. What is BeautifulSoup4? It is a package provided by python library. It is used for extracting data from HTML files.

  39. Cody

    • 2016/3/26

    What does code parsing mean?

  40. Xavier

    • 2016/9/9

    To parse the table, we’d like to grab a row, take the data from its columns, and then move on to the next row ad nauseam. In the next bit of code, we define a website that is simply the HTML for a table. We load it into BeautifulSoup and parse it, returning a pandas data frame of the contents.

  41. Kane

    • 2017/9/10

    Here you go: data = [] table = soup.find('table', attrs={'class':'lineItemsTable'}) table_body = table.find('tbody') rows = table_body.find_all('tr') for 

  42. Gerald

    • 2019/8/23

    To parse the table, we’d like to grab a row, take the data from its columns, and then move on to the next row ad nauseam. In the next bit of code, we define a website that is simply the HTML for a table. We load it into BeautifulSoup and parse it, returning a pandas data frame of the contents.

  43. Anderson

    • 2019/6/9

    The pandas. read_html() function uses some scraping libraries such as BeautifulSoup and Urllib to return a list containing all the tables in a page as DataFrames. You just need to pass the URL of the page.

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