I am very new to python and want to make a script for a spreadsheet I use at work. Basically, i need to associate an address with multiple 5 digit reference codes. There are multiple addresses with a corresponding group of reference codes.
i.e:
Address:
1234 E. 32nd Street,
New York, NY, 10001
Ref #'s
RL081
RL089
LA063
Address 2:
etc....
I need my script to look up a location by ref code. This information is then used to build a new spreadsheet (each row needs an address and the address is looked up using a ref code). What is the best way to use this info in python? Would it be a dictionary? Should I put the addresses / ref codes into an XML type file?
Thanks
Edit (clarification):
Basically, I have those addresses and corresponding ref codes (they could be in a plain text document, I could organize them in a spreadsheet, or whatever so python can use them). The script I'm building needs to use those ref codes to enter an address into a new spreadsheet. Basically, I input a half complete spreadsheet and the script fills in the addresses based on the ref code in each row.
Import into what?
If you have everything in a spreadsheet, Python has a very good CSV reader library. Once you've read it in, the challenge becomes what to do with it.
If you are looking at a medium term solution, I'd recommend looking at using SQLite to set up a simple spreadsheet that can manage the information in a more structured way. SQLite scales well in the beginning stages of a project and it becomes a trivial case to insert into a fully-fledged RDBMS like PostGreSQL or MySQL if it becomes neccessary.
From there it becomes a case of writing the libraries you need to manipulate your data, and present it. In the initial stages this can be done using the command line but by using an SQL database this can be exposed through a webpage for multiple people down the line without worrying about managing data integrity.
I prefer to use JSON over XML for storing data that will later be used in python. The json module is fairly robust and easy to use. Since you will be performing lookups I would definitely loading the information as a python dictionary. Since you'll be querying by ref codes you'll want to use those for keys and have the address as the value.
I need my script to look up a location by ref code
Since this is the only requirement you've stated, I would recommend using a dict where keys are ref codes and values are addresses.
I'm not sure why you are asking about "file types". It seems you already have all this information stored in a spreadsheet - no need to write a new file.
Related
I have an original text that I want to translate. I normally do it manually but I know I could save a lot of time translating automatically the most frequent words and expressions.
I will find out how to translate simple words, the problem is not here. I have read some books on python and I think using string manipulations can be done.
But I am lost about how to create the output file.
The output file will contain:
short empty forms ready to be filled wherever there is text that has not been translated
the translated words wherever they were in the original file
In the output file I will fill manually the empty forms, after pressing Tab the cursor should jump to the next exmpty form
I am lost here, I know how to do forms on html but the language I am used to is Python.
I would like to know what modules from Python I could use. I need some guidance on this.
Can you recommend me a book or a tool that explains how to do something similar to this?
This is what I want to do, assuming I have managed to create a simple database to translate colors from Spanish to English.
The first step contains the original file.
The second step contains the automatic translation.
In the third step I complete the manual translation.
After finishing everything is grouped into a normal txt file ready to be used.
I think it is quite clear. I don't expect people to tell me the code to do this, I just need to know what tools could be used to achieve my goal.
Thanks for editing.
To create an interface that works with a web browser, Flask for Python is a good method for creating webforms. There are tutorials available.
One method for storing data would be an SQLite file. That may be more than you need, so I'd recommend starting with a CSV file. Libraries exist in Python for both CSVs and SQLite.
I've been asked to create a Python script to automate a server deployment for 80 retail stores.
As part of this script, I have a secondary script that I call to change multiple values in 9 XML files, however, the values are unique for each store, so this script needs to be changed each time, but after I am gone, this is going to be done by semi / non-technical people, so we don't want them to change the Python scripts directly for fear of breaking them.
This in mind, I would like to have these people input the store details into an XLS sheet, and a python file read this sheet and put the data it finds into the existing python script with the data to be changed.
The file will be 2 columns, with the required data in the 2nd one.
I'm sorry if this is a long explanation, but that is the gist of it. I'm using python 2.6. Does anyone have a clue about how I can do this? Or which language might be better for this. I also know Bash and Javascript.
Thanks in advance
Depending on the complexity and the volume of your data
for small Openpyxl,
for large pandas
I'm gonna use data from a .csv to train a model to predict user activity on google ads (impressions, clicks) in relation to the weather for a given day. And I have a .csv that contains 6000+ recordings of this info and want to parse it into a database using Python.
I tried making a df in pandas but for some reason the whole table isn't shown. The middle columns (there's about 7 columns I think) and rows (numbered over 6000 as I mentioned) are replaced with '...' when I print the table so I'm not sure if the entirety of the information is being stored and if this will be usable.
My next attempt will possible be SQLite but since it's local memory, will this interfere with someone else making requests to my API endpoint if I don't have the db actively open at all times?
Thanks in advance.
If you used pd.read_csv() i can assure you all of the info is there, it's just not displaying it.
You can check by doing something like print(df['Column_name_you_are_interested_in'].tolist()) just to make sure though. You can also use the various count type methods in pandas to make sure all of your lines are there.
Panadas is pretty versatile so it shouldn't have trouble with 6000 lines
I have an excel spreadsheet which basically acts as an UI, it is used to let the user enter some parameters which are then passed to some python code on a server via a web service, as well as a whole tab full of data.
I am by far no VBA expert but managed to get my data and individual variables submitted. My question is what is the best suited VBA data structure to use, ideally I would like to have something like a dictionary where the keys would be my defined Names for the Excel cells, plus the data which might for some cases will be a single value or a Variant array.
I have to be able to distinguish between keys and their corresponding values in python eventually.
So far I was playing around with collections
Dim Main_tab_vars As Collection
Set Main_tab_vars = New Collection
Main_tab_vars.Add Range("Start_Date").Value, "Start_Date_var", "Start_Date_var"
Main_tab_vars.Add Range("Definitions").Value, "Definitions_var"
If I look at the collection in my watches window I can see the values correctly stored in item1 and item2. But it looks like my key information gets lost
I would recommend either JSON or Xml when sending data to a web service, these are the industry standards. If chooisng JSON then you'd use nested dictionaries and then build a string (plenty of code on internet) when ready . If using Xml then you could build up the Xml document as you go.
I do not know how well Python handles JSON so probably I'd opt for XML.
I wrote a program that lets end users add/edit data from an Excel spreadsheet. This spreadsheet is a company wide shared document, and therefore it requires users to check out the document before making any changes to it. Is there a way to programmatically check out the document using Python or any other ways that would integrate with Python well?
Thanks in advance!