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

Simple Answer:

Working as on 20th Sep 2020

Below are the steps to read a CSV file from Azure Blob into a Jupyter notebook dataframe (python).

STEP 1: First generate a SAS token & URL for the target CSV(blob) file on Azure-storage by right-clicking the blob/storage CSV file(blob file).

STEP 2: Copy the Blob SAS URL that appears below the button used for generating SAS token and URL.

STEP 3: Use the below line of code in your Jupyter notbook to import the desired CSV. Replace url value with your Blob SAS URL copied in the above step.

import pandas as pd 
url ='Your Blob SAS URL'
df = pd.read_csv(url)
df.head()