How best to convert from azure blob csv format to pandas dataframe while running notebook in azure ml

Question

I have a number of large csv (tab delimited) data stored as azure blobs, and I want to create a pandas dataframe from these. I can do this locally as follows:

Answer 1

I think you want to use get_blob_to_bytes, or get_blob_to_text; these should output a string which you can use to create a dataframe as

from io import StringIO
blobstring = blob_service.get_blob_to_text(CONTAINERNAME,BLOBNAME)
df = pd.read_csv(StringIO(blobstring))