I have many graphs in Excel that I would like to convert to Python but am struggling with how to do so using Matplotlib. Is there a package or method that would essentially convert/translate all the formatting and data series selection into python?
Once I could see a few examples of the correct code I think I could start doing this directly in python but I do not have much experience manually creating graph code (I use Excel insert graphs mostly) so am looking for a bridge.
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Is it possible to convert excel formulas to python code? For example:
"=TEXT(SORT(PROPER(UNIQUE(FILTER("
"ws_1!A:A,ws_2!B:B=ws_3!C3"
')))), "")'
Or it is not possible. I was looking into Pycel, xlcalculator, formulas module. But unfortunately i cannot find more complicated example than sum(A,B).
Probably i could do it with pandas, but it won't work constantly in spreadsheet. Or can i save some python script instead formula to cell?
if you have any idea how to translate easier formulas eg. or any library that can do it, I would be grateful for the tips :
'=IFERROR(VLOOKUP(C2,ws!A2:B3,2,0), "Invalid")'
My motivation is to avoid a long excel formula in python code. And make it testable
I'm currently trying to do some large scale analysis (10,000 rows) which relies upon a 'calculator' someone has built within my organisation within excel. The hitch is that the underlying calculations within the calculator are hidden, and are not available to me so I can't just reproduce these steps to create a column with the calculator output.
It seems that the only way for me to populate this column would be to manually complete the calculator for each entry and type it across which is unfeasible for this much data. I'm therefore wondering whether there exists a tool or a way of automating this process (perhaps a macro) so that my analysis file will just plug in the calculator inputs for each data point and return the output to a fresh column?
I have some limited experience with macros and python - so would appreciate answers focussed around using one of these if possible
I have some pretty strange data i'm working with, as can be seen in the image. Now I can't seem to find any source data for the numbers these graphs are presenting.
Furthermore if I search for the source it only points to an empty cell for each graph.
Ideally I want to be able to retrieve the highlighted labels in each case using python, and it seems finding the source is the only way to do this, so if you know of a python module that can do that i'd be happy to use it. Otherwise if you can help me find the source data that would be even perfecter :P
So far i've tried the XLDR module for python as well as manually showing all hidden cells, but neither work.
Here's a link to the file: Here
EDIT I ended up just converting the xlsx to a pdf using cloudconvert.com API
Then using pdftotext to convert the data to a .txt which just analyses everything including the numbers on the edge of the chart which can then be searched using an algorithm.
If a hopeless internet wanderer comes upon this thread with the same problem, you can PM me for more details :P
I'm processing some data for a research project, and I'm writing all my scripts in python. I've been using matplotlib to create graphs to present to my supervisor. However, he is a die-hard MATLAB user and he wants me to send him MATLAB .fig files rather than SVG images.
I've looked all over but can't find anything to do the job. Is there any way to either export .fig files from matplotlib, convert .svg files to .fig, or import .svg files into MATLAB?
Without access to (or experience with matlab) this is going to be a bit tricky. As Amro stated, .fig files store the underlying data, and not just an image, and you're going to have a hard time saving .fig files from python. There are however a couple of things which might work in your favour, these are:
numpy/scipy can read and write matlab .mat files
the matplotlib plotting commands are very similar to/ based on the matlab ones, so the code to generate plots from the data is going to be nearly identical (modulo round/square brackets and 0/1 based indexing).
My approach would be to write your data out as .mat files, and then just put your plotting commands in a script and give that to your supervisor - with any luck it shouldn't be too hard for him to recreate the plots based on that information.
If you had access to Matlab to test/debug, I'm sure it would be possible to create some code which automagically created .mat files and a matlab .m file which would recreate the figures.
There's a neat list of matlab/scipy equivalent commands on the scipy web site.
good luck!
After running a bunch of simulations I'm going to be outputting the results into a table created using SQLAlchemy. I plan to use this data to generate statistics - mean and variance being key. These, in turn, will be used to generate some graphs - histograms/line graphs, pie-charts and box-and-whisker plots specifically.
I'm aware of the Python graphing libraries like matplotlib. The thing is, I'm not sure how to have this integrate with the information contained within the database tables.
Any suggestions on how to make these two play with each other?
The main problem is that I'm not sure how to supply the information as "data sets" to the graphing library.
It looks like matplotlib takes simple python data types -- lists of numbers, etc, so you'll be need to write custom code to massage what you pull out of mysql/sqlalchemy for input into the graphing functions...