I currently have a python script which pulls in Analytics data and churns out a CSV. I want to be able to add in a column in after the CSV has been created. I know which column number it has to go in and I would also like to populate each cell in that column as far down as the CSV goes.
Is there any simple script, from Pandas, that would allow me to add on a column and populate the cells based on a loop I create?
If any further information is needed please let me know, i'm still very new to python :)
Cheers
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I tried using Pandas but am getting errors that I don't understand quite yet when trying to import the file. I am able, however, to import the file easily using openpyxl.
I have a very large sheet that has header data. It also contains a table that I'll need to transpose up towards the top and then the main table starts on a row (39). I am able to import the sheet and then run:
sheet_obj = wb_obj.active
sheet_obj.delete_rows(1,39)
I want to be able to write the new object to a new sheet (I called "test") in the same work book so that I can test what I'm deleting. (Eventually, I will be exporting this to MySQL, but wanting to see the contents of the table as sort of a debugging effort. I am unable to figure out how to write the sheet_obj to the other sheet. I'm sure this is simple....
Two questions:
How to write a sheet object to a NEW sheet
Is there a simple way to transpose the object? (I saw that pandas has a wb.T method - does openpyxl have something similar?
THANK YOU SO much! I'm very new to python and learning all of this on the fly.
Sincerely,
Rob
I plan to make an educational web game. I have thousands of trivia questions I need to write down in a way that can be easily transferred out and automatically organized based on their column, at a later date.
I was suggested to use google sheets so I can later export as a .csv, and that should be easy to work with for a developer. When i exported a .csv and opened it in Panda python the a column was cut off and 1 column was used as a 'header', not just a normal entry https://imgur.com/a/olcpVO8. This obviously wont work and seems to be an issue.
Should I just leave the first row and column empty and work around the issue? I don't want to write thousands of sets only to find out I did this the wrong way. Can anyone give any insight into whether this is my best option and how I should best format it?
I have to write Questions(1), Answers(4), Explanations(1) per entry
I hope this makes sense, thanks for your time.
I tried doing this and have no issue at all using the exported CSV from Google Sheets, using the same data as in your example.
In my opinion, whatever software you're using in your second screenshot is your issue, it seems like its removing numbers from the first row because that should be your header row. Check around in your software for options like, "First column contains headers" or "Use row 1 as Header" and make sure these aren't being used.
I am using Python and gspread to upload local .csv data to a google SpreadsheetA.
I have a separate google SpreadsheetB that uses =IMPORTRANGE to import the data from SpreadsheetA and create a pivot table and corresponding chart (both located on SpreadsheetB).
If I were to manually adjust any data in SpreadsheetA (e.g., alter value of any cell, add a value to an empty cell, etc), then the data in SpreadsheetB—with its corresponding pivot table and chart—update dynamically with the new data from SpreadsheetA.
However, when SpreadsheetA is updated with new data programmatically via Python, IMPORTRANGE in SpreadsheetB does not capture the new data.
Any ideas as to why this happens and how I might be able to fix?
Both Sheet A and B show the same number of rows. I am a bit confused with your IMPORTRANGE() formula though, why the ampersand?
=IMPORTRANGE("https://docs.google.com/spreadsheets/d/16DyWC8rsQB1ThpLiQh0p5xH9CYK2cPqbPH547ybw2Fo/edit#gid=1875728384",""&"TestgAPI!A:J")
I changed to this:
=IMPORTRANGE("https://docs.google.com/spreadsheets/d/16DyWC8rsQB1ThpLiQh0p5xH9CYK2cPqbPH547ybw2Fo/edit#gid=1875728384","TestgAPI!A:J")
Although probably not the ideal, my solution to this was to use gspread to add a new worksheet to spreadsheetA, which somehow manages to kickstart importrange() in SpreadsheetB.
I would still love to see a cleaner solution, if anyone knows of one—but this has continued to work since implementing a week ago.
Is it possible to write columns that users can not modify using XLSXwriter?
I need a column that users can look at as a reference, but not change.
I am struggling to find a function in IDL that will replicate something I have done in Python with Pandas. I am new to IDL and there is next to nothing resource wise that I can find.
In Python, I use the following:
pd.read_csv('<csv filepath>', usecols=[n])
The usecols part will only pull in the columns of a CSV I would like in my data frame. Is there a way to do this in IDL?
I hope this makes sense - my first post here!
Thanks.
There is a READ_CSV routine that can read CSV files, but it does not have a way to pull out specific columns. It will give you a structure with one field for each column of the CSV file — so you could just grab the column you need from the structure and throwing away the rest of the structure. Something like:
csv = read_csv('somefile.csv')
col_n = csv.(n)