I'm using pdfminer for extract table data from PDF data output in vertical(column wise) format instead horizontal (row wise) and returning (cid:int) format.
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I am trying to output the df for the dataset. However, I can see the title of the table but not the actual data. It seems that it all aligned the right and hid. Is there any way to get it to show
I want to extract the table data from pdf to excel/csv. How can I do this using Automation Anywhere?
Please find below the sample table from pdf document.
There are multiple ways to extract data from PDFs.
You can extract raw data, formatted data, or create form fields if the layout is consistent.
If the layout is more random, you might want to take a look at IQ Bot, where there are predefined classifications for things like Orders etc.
I would err on using form fields if you have unusual fonts like " for inches character if you have a standard format, since the encoding doesn't map well with the raw/formatted option.
The raw format has some quirks where you don't always get all the characters you expect, such as missing first letter of a data item for raw.
The formatted option is good at capturing tabular columns as they go across the line.
I have one htmltext which contains text with html table and I want to convert this to plain text but table data should show in tabular format in proper alignment.
If first row first column is bigger length and 2nd row column is smaller then it should replace with space to make proper alignment
<html>test<br />test1<br /><table class="table table-bordered"><tbody><tr><td>Lin1-Test123</td><td>Line1-Col2</td><td>Line1-Col3</td></tr><tr><td>Line2</td><td>Line2</td><td>Line2-Col3</td></tr></tbody></table></html>
after convert the table data should show in a tabular format below
Test</br>test1</br>Lin1-Test123</br>Line1-Col2 </br>Line1-Col3
</br>Line2 </br>Line2 </br>Line2-Col3</br>
basically i need to replace additional space for less length value to make alignment proper
I have a need to print a large table across multiple pages which contains both header rows and a “header”column. Representative of what I would like to achieve is:
https://github.com/EricG-Personal/table_print/blob/master/table.png
I do not want the contents of any cell to be clipped, split between pages, or auto-scaled to be smaller. Each page should have the appropriate header rows and each page should have the appropriate header column (the ID column).
The only aspect not depicted is that some of the cells would contain image data.
Can I achieve this with pandas?
What possible solutions do I have when attempting to print a large dataframe?
Pandas has no such capabilities, it wasn't designed for that in the first place.
I'd suggest converting your DataFrame to excel sheet and print that using MS Excel. It has -to the best of my knowledge- all what you need.
I just got a vegetation raster. Its pixels have several fields (i.e. basal area oaks, density of oaks, volume of oaks, pixel value, etc). How do I extract only selected field values to a set of XY points?
The primary tool that you'll be working with is Raster to Point (Conversion toolbox). It includes a parameter to pick which field to pull data from:
The Field parameter allows you to choose which attribute field of the input raster dataset will become an attribute in the output feature class. If a field is not specified, the cell values of the input raster (the VALUE field) will become a column with the heading Grid_code in the attribute table of the output feature class.
If you want to exclude certain values or subset the data, that can be done either before converting (using Con or similar) or after (select by attribute and export or delete). Doing it afterwards gives you a bit more flexibility, but leads to larger point datasets.