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])
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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.
I have this live excel worksheet in share point. I want to update the contents of the file in that excel sheet using data scraped from a website. So I am done with the data scraping part.
Things I wanted to do:
Getting into sharepoint and opening the particular excel sheet link to update it
In excel worksheet. It has 8 columns. I wanted to update only 6 columns. Rest of the 2 columns should be untouched
I wanted to know how to make these above 2 things happen. A little guidance would be helpful
I have finished coding some pandas but I don't know what to do now. I want to export the pandas onto a google sheet or excel file so I can graph the data out using google data studio. Since I'm new to pandas, does anyone know how to move completed pandas onto an excel or google sheets file?
I tried searching for the answer using all the keywords and the entire question! The closest I got gave me the result that:
cp: cannot create regular file 'drive/My Drive/': No such file or directory
Finished_Data.to_csv('Completed_Data.csv')
!cp Completed_Data.csv drive/My\ Drive/
Most of the ways I tried didn't give me any results and just wasted my time.
if all you want to to is create an excel file you can use pandas.to_excel:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_excel.html
update
what’s the best way to save pd.dataframe object as a google sheet document
Google sheets provides an API. I'm not familiar with it but it seems well documented
https://developers.google.com/sheets/api/quickstart/python
Is there something wrong with my code?
export_excel = Finished.to_excel (r'C:\Users\Person\Desktop\Finished Pandas.xlsx', index = None, header=True)
to_excel does not return anything. You don't need to assign it to a variable.
index is a boolean parameter. Set it to either True if you want your index to be exported or False if not.
xlsx depends also on the libary openpyxl. What error message do you get?
I do a lot of data analysis in Excel and have been exploring Python and DataNitro to streamline my workflow. I specifically am trying to copy certain cells from one sheet in one Excel workbook, and paste them into certain cells in a certain sheet in another Excel workbook.
I have been storing ("copying") using CellRange (DataNitro), but am not sure how to copy the stored contents into a particular sheet, in another Excel workbook. Any clue how I may go about this? Also, is it possible to make the range defined for a CellRange conditional on certain cell properties?
I would really appreciate any help! Thank you, all.
Here's an example of copying:
data = CellRange("A1:A10").value
active_wkbk("Book2.xlsx")
CellRange("A1:A10").value = data
You can make the range conditional using regular Python logic (if statements, etc.).
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