How do I connect to DashDB from a Jupyter Notebook within Watson Studio?

Question

I'm trying to pull some data in from a DashDB database and analyze it within a Jupyter Notebook, all within the Watson Studio. Ideally we would create a Pandas Dataframe for analysis.

Answer 1

Here's how I was able to do it:

# First import the relevant libraries
import jaydebeapi
from ibmdbpy import IdaDataBase
from ibmdbpy import IdaDataFrame

Create a hash with credentials:

credentials_dashdb = {
 'host':'bluemix05.bluforcloud.com',
 'port':'50000',
 'user':'dash123456',
 'password':"""mypassword""",
 'database':'BLUDB'
}

Build the connection:

dsn="DASHDB;Database=BLUDB;Hostname=" + credentials_dashdb["host"] + ";Port=50000;PROTOCOL=TCPIP;UID=" + credentials_dashdb["user"] + ";PWD=" + credentials_dashdb["password"]  
idadb=IdaDataBase(dsn)

Import the data:

# See all the table names in the database
df=idadb.show_tables(show_all = True)

# Show the table names
df.head(100)

# create a pandas dataframe from the table, show the first few rows
pandas_df = IdaDataFrame(idadb, 'MY_TABLE')
pandas_df.head()

Hope that helps someone. Big credit to Sven Hafeneger and this notebook for this solution!