Are you trying to upload your CSV to analyze in the research environment or to code your algo in the IDE?

If you're analyzing data in the research environment:

• upload the CSV to your data folder
  
• use local_csv to access your file. If you add the "?" operator, you can see the docstring for the function
  
• max file size is 34MB. If your file is larger, you'll need to break into smaller chunks

If you're coding an algo the IDE:

• host your CSV on a publicly accessible server (Dropbox, Google Drive, your own)
  
• use fetch_csv to access the file. The IDE has 6 minutes to ingest the data, otherwise will timeout

If you're moving between the research and the IDE, here's a cheat sheet to help out.

I understand now. I didnt understand how the research env worked.

I was hoping I could upload a file to research and use in algo. Seems like a waste of bandwith to download data for every backtest.

HI,
I looked in the API documentation but could not find any example of local_cvs import code in research environment(and how the cvs should be formatted, columns header etc ). I am having problems with the date format of the imported data. How can the date be properly imported if it is in d/m/y format?
I noticed there is such an argument for the IDE fetcher, but not for local_cvs research.(why such a different implementation of the some function between IDE and research??)

I am also having a hard time to understand the description of the arguments :

Parameters:
path (str) – Path of file to load, relative to /data.
symbol_column (string, optional) – Column containing strings to convert to Asset objects.
date_column (str, optional) – Column to parse as Datetime. Ignored if parse_dates is passed as an additional keyword argument.
use_date_column_as_index (bool, optional) – If True and date_column is supplied, set it as the frame index.
timezone (str or pytz.timezone object, optional) – Interpret date_column as this timezone.
symbol_reference_date (str or pd.Timestamp, optional) – String or Timestamp representing a date used to resolve symbols that have been held by multiple companies. Defaults to the current time.
read_csv_kwargs (optional) – Extra parameters to forward to pandas.read_csv.

Can you give some more clear explanation and some example?

Thanks