I have read the documentation but just not able to figure it out, how to do it ?
My csv is this format
I have downloaded telegrf for this purpose.
Related
I have a running Bitcoin node which downloads all block .dat files.
Now I would like to parse these files into a Python script and receive only the transaction data.
Afterwards, I am planning to push the data into Google BigQuery for analysis.
Does anyone have a good source for such a python script?
Many thanks in advance!
Basically, all you need is to read these .dat files with python and send the content to GBQ.
Here is a thread on how to process .dat files:
reading and doing calculation from .dat file in python
After converting .bat into pandas data frame, you can use pandas-gbq package to save it in Google BigQuery. Documentation: https://pandas-gbq.readthedocs.io/en/latest/
I have a DataFrame that I would like to store as a CSV file in a Sharepoint.
It seems that the only way is to first save CSV file locally and then, using Shareplum, upload file to Sharepoint.
Is there a way to directly save DataFrame into Sharepoint as CSV file, without creating a local file?
Thanks a lot for your help.
It should be possible to write the csv content to an in-memory text buffer (e.g. StringIO or ByteIO) rather than to a local file - here is an example (last section of the page).
After that, you could use a library for writing the content directly to a Sharepoint: This discussion shows several approaches how to do that, including the Office365-REST-Python-Client and also SharePlum, which you have already mentioned.
Here are two more sources (Microsoft technical doc) that you might find useful:
How can I upload a file to Sharepoint using Python?
How to get and upload files from sharepoint with python?
Good afternoon!
While using pandas to read csv data files > 500MB from my drive, instead of getting the csv file I receive the "can't scan large file for viruses" HTML page. I've tried a lot but can't find any workarounds. Can anyone tell me if it's possible to bypass that?
Sample file:- https://drive.google.com/file/d/1EQbD11iRnbXVJMZNTVExfrRP5WYIcAjk/view
Error Image
PS can someone also suggest a better (preferably free) service to upload multiple big csv files so that I can use pandas to get the data from it... i have >40gb of data to work with
Thanks :)
I found this and it's working for me as of 14/10/2020 though it was taken off of the documentation: http://web.archive.org/web/20190621105530/https://developers.google.com/drive/api/v3/manage-downloads
I have thousands of .wfs(windows script files) files and I am looking for a solution to help me convert this huge amount of .wfs files into .csv files using Python Anaconda or Spyder.
May I know any IO API similar to pandas where could read wfs files using similar functions like read.excel? or does python read script files?
Or could I convert these script files into Excel read quick (I know how to convert excel files into csv using Python)?
An example .wfs along with the converted csv is contained in the link below:
https://www.dropbox.com/sh/uwbajpubzuxn7g5/AABbD7W4pXFlxiIi1UAlHKTFa?dl=0
I must create a web app with django that reads an xlsx file, a csv file and after their "data analysis" create a third xlsx file that contains the results of the data analysis.
My question is that: which libraries may I use to do that?
I recommend you to use xlrd https://pypi.python.org/pypi/xlrd library.