camelot | A Python library to extract tabular data from PDFs | Document Editor library
kandi X-RAY | camelot Summary
kandi X-RAY | camelot Summary
Camelot is a Python library that can help you extract tables from PDFs!.
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Top functions reviewed by kandi - BETA
- Set the edges of the grid .
- Split textline by given direction .
- Read a PDF file .
- Get the index of a table .
- Finds lines of a given threshold .
- Given a list of textlines and a list of text lines return a dict containing the area of the table .
- Generate columns and rows
- Get page layout .
- Generate a table .
- Scale image .
camelot Key Features
camelot Examples and Code Snippets
$camelot->extract(); // uses temporary files and automatically grabs the table contents for you from each
$camelot->save('/path/to/my-file.csv'); // mirrors the behaviour of Camelot and saves files in the format /path/to/my-file-page-*-table-*.
extract();
$csv = Reader::createFromString($tables[0]);
$allRecords = $csv->getRecords();
puzzle = Puzzle.new( [OrangePiece.new], [PurplePiece.new, BluePiece.new, BluePiece.new] )
puzzle.valid_solutions.each do |valid_solution|
rendered_starting_position = RenderedBoard.new( valid_solution.board, [PurplePiece.new, BluePiece.new, B
Community Discussions
Trending Discussions on camelot
QUESTION
I'm using Camelot Python Library to read all tables in a page of pdf document
I'm tring to read all tables at page 10 in this pdf
I tried to debug plotting the page and I noticed something if I change the flavor:
This is with flavor lattice
This is with flavor stream
The problem is if I use lattice flavor it will not read properly the tables an example here
If I use flavor='stream', It will read data properly but just of one table: The output is somenthing like this.
I tried to use table_area/table_regions for detect the two tables with flavor='stream', but it didn't work. I paste the code down here.
Code with lattice:
...ANSWER
Answered 2022-Apr-01 at 08:14The problem is that you are using table_area instead of the correct parameter table_areas
(read the docs).
The following command works perfectly:
tables = camelot.read_pdf(file,pages='10', flavor='stream', edge_tool=1500, table_areas=['10,450,550,50','10,750,550,450'])
Difference between table_areas and table_regions
table_areas
should be used when you know the exact position of the table. Conversely, table_regions
makes the detection engine look for tables only in those generic page regions.
QUESTION
I got a legacy application using data structures like those in the following toy snippet and I can't easily change these data structures.
I use a Java 8 (only) stream to do some stats and I failed to get the wished type using Collectors.
...ANSWER
Answered 2022-Jan-26 at 11:22You can use Collectors.collectingAndThen
to convert the reduced double
value to a corresponding String
:
QUESTION
ANSWER
Answered 2021-Dec-25 at 11:17To programmatically extract internal tables only, you can try passing table_regions
parameter, specifying a fixed limited part of the page.
When table_regions is specified, Camelot will only analyze the specified regions to look for tables.
QUESTION
I got stuck trying to clean a dataframe similar to this one:
code course name EOS Mid test AA101 Course 1 350 420 NaN AA102 Course 2 400 470 NaN AB101 Course 3 #560 570 NaN AB102 Course 4 410 465 NaN AC101 Course 5 # 522 NaNI need to keep only numerical values in the column EOS
and move #
characters that appear in it to the column test
, to indicate that an additional test is required for that course. This is because some of the values have a #
before the actual number, such as Course 3
, and some have only the #
as the value, such as Course 5
.
The dataframe was created using Camelot to extract those values from a PDF table.
What I need is to take this #
out of this column and add it to the test
column instead.
Is there an easy way to do that?
...ANSWER
Answered 2021-Dec-18 at 16:07There is no builtin function to do just this, but it can be done using two lines:
QUESTION
Is there a way to extract data from every arrays in a pdf using python?
I've tested tabula, camelot, pdfplumber but none can extract everything or correctly.
An example:
I would like to work on these using matrix, dataframe, ...
Should I opt for OCR for better recognition ?
EDIT :
I am trying to retrieve this table from a pdf using tabula-py.
My script :
...ANSWER
Answered 2021-Nov-18 at 14:01In my opinion, Camelot gets a good result using stream flavor.
QUESTION
I'm trying to make a large DataFrame from a bunch of smaller DF. so I've look at multiple sites a nd they all mention to use the pd.concat()
method and create an empty DataFrame. I did, however when I print inside my for loop I still get data as if it was still sectioned by individual DataFrame, and when i print my (now supposedly filled DataFrame ) I get an empty DF.
Note: All tables have the same structure
...ANSWER
Answered 2021-Nov-09 at 21:38Try:
QUESTION
Good morning,
I'm in the process of getting Camelot approved for use in my office to help with some projects but need a complete list of dependencies to provide before install.
Camelot only lists Tkinter and Ghostscript as dependencies, but mentions the use of pandas data frames, which to my understanding is a separate module that would also be required.
Could someone help me understand how pandas fits into Camelot-py?
Is it built into Camelot? Or would I be required to request pandas to be installed as well?
Thank you for your help.
...ANSWER
Answered 2021-Nov-09 at 14:24pandas
is installed separately when Camelot-py
is installed using pip
. Here is full list of modules pip
installed when running pip install "camelot-py[base]"
on Python 3.8 in a 64-bit Windows machine.
QUESTION
I'm trying to create a simple way to get data from pdf into a pandas data frame. Something like that:
...ANSWER
Answered 2021-Sep-30 at 10:50To correctly extract tables from the second file, it is necessary to process background lines, using the appropriate parameter (process_background) for lattice method, as you can see in the following code:
QUESTION
I have two pdf documents, both in same layout with different information. The problem is: I can read one perfectly but the other one the data is unrecognizable.
This is an example which I can read perfectly, download here:
...ANSWER
Answered 2021-Sep-10 at 08:44Simply, the problem is that your second PDF is malformed / corrupted. It doesn't contain correct font information, so it is impossible to extract text from your PDF as is. It is a known and difficult problem (see this question).
You can check this by trying to open the PDF with Google Docs.
Google Docs tries to extract the text and this is the result:.
Possible solutionsIf you want to extract the text, you can print the document to an image-based PDF and perform an OCR text extraction. However, Camelot does not currently support image-based PDFs, so it is not possible to extract the table.
If you have no way to recover a well-formed PDF, you could try this strategy:
- print PDF to an image-based PDF
- add a good text layer to your image-based PDF (using OCRmyPDF)
- try using Camelot to extract tables
QUESTION
Background. I'd like to use camelot.read_pdf(file)
which uses ghostscript.
- The project has
ghostscript
package. - Windows 10 got installed Ghostscript 9.54.0 for Windows (64 bit).
2.1.
c:\Program Files\gs\gs9.54.0\bin
has been added to systemPATH
env variable. - Python 3.9 64 bit.
The required library path is c:\Program Files\gs\gs9.54.0\bin\gsdll64.dll
.
But python does not “see” it. As it's, probably, not loaded in the system.
ANSWER
Answered 2021-Sep-05 at 16:19Solved.
First, Python can find DLL by paths from environment PATH variable. So, the path c:\Program Files\gs\gs9.54.0\bin
has to be presented there.
PyCharm (or another IDE) has to be reloaded (that's my main mistake).
Thanks @Petesh to the comment.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install camelot
You can use camelot 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.
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