I tried to do google trends api in python. In result i see date and keyword columns. When I tried to write this data to Google sheets, my first column (which is date) is skipped. How can I fix that?
I am new in python, ı am open all suggestions :)
I've used pandas and made a data frame which includes my google trends data. But it skipped my first column. I was expecting write all the data to google sheets.
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I have been researching this for a while but am coming up with nothing. I have a process take data from a dataframe and add it to a Google Sheet starting on a specific cell (ex B3). The sheet is templated with columns that have formulas in the middle of the output and I have blank columns in the dataframe to match their position. I want to paste the values as "paste as formulas" Google Sheet paste option to not overwrite any data.
After doing a lot of research I think my two options are break the dataframe into two separate dfs to not override the formulas and add them into on each side of the columns that have formulas.
The second is to create a tab, add the data to this tab, then copy and paste as values using the sheets api.
Not sure if there is a way to do this all at once. Just wondering if this is possible and I am missing arguments in some functions somewhere that allow this.
I am trying to parse through an Excel sheet that has columns for the website name (column A), the number of visitors (F), a contact at that website's first name (B), one for last name (C), for email (E), and date it was last modified (L).
I want to write a python script that goes through the sheet and looks at sites that have been modified in the last 3 months and prints out the name of the website and an email.
It is pretty straightforward to do this. I think a little bit of googling can help you a lot. But in short, you need to use a library called Pandas which is a really powerful tool for handling spreadsheets, datasets, and table-based files.
Pandas documentation is very well written. You can use the tutorials provided within the documentation to work your way through the problem easily. However, I'll give you a brief overview of what you should do.
First open the spreadsheet (excel file) inside python using Pandas and load it into a data frame (read the docs and you'll understand).
Second Using one of the methods provided by pandas called where (actually there are a couple of methods) you can easily set a condition (like if date is older than some data) and get the masked data frame (which represents your spreadsheet) back from the method.
I want to append the data frame of every month data into google sheet by python. I have tried lots of code but it's not working. Is there any way I can append data of every month to google sheet by python? please share the full python code to append the data frame into a google sheet.
you can use loop to find existing data and achieve this. but there is a simpler approach, using append_table in pygsheets.
wks.append_table(values=['12/23/2020', 'john', 3])
I'm using a SpreadsheetsListFeed to read data from a Google Spreadsheet.
The sheet contains a table of customer data, including firstname, lastname, email, phone, etc. The column headers are in the top row of the sheet, and the data is in the subsequent rows. I figured a SpreadsheetsListFeed would be the best option since the data is in a tabular format.
However, now I need to use the python app to generate a customerid for each customer, and write it to the spreadsheet (only if it doesn't already exist in the sheet). I'm wondering if there is a way to do this through the SpreadsheetsListFeed or if I need to use a SpreadsheetCellsFeed and calculate the row/column values based on the existing SpreadsheetsListFeed.
The documentation for the python gdata library is a little sparse, so any help would be appreciated. Thanks!
That's the reason why I wrote a small wrapper lib for the spreadsheet API. It lets you work with a spreadsheet like you would with a dict.
Sorry if the title is confusing. Basically what I am trying to do is create an excel sheet with data that is in a url that I have.
The url is a search API for twitter that retrieves the past 100 tweets with a given keyword of my choice. I am trying to to create an excel sheet that stores each tweet in it's own row. Essentially it will only be 1 column but will be 100 rows.
I have looked online but haven't really seen a way to do exactly what I need so if anyone knows a tutorial i should look at or could show me how to get started that would be great.
Thanks!
There will probably not be a tutorial on exactly how to do this. you need to put a couple different concepts together
Get the data from the url. This can be as simple as urllib.urlopen
Turn that data (string) into a usable format. Twitter will probably return json. Turn that into a python dict
Open a file for writing
Loop through twitter data and write to ouput file
You only need to create a .csv file. It will work great with excel. For one column file you just need to write the header then write each line of data. Python provides everything you need to create well formed csv files in the csv module in the standard library