Navigating the Zeppelin: A Guide to Understanding DataFrames via SQL

I am new to using Python with Zeppelin and I am trying to import a dataframe into Zeppelin through SQL. However, I have only found materials about PySpark in Zeppelin so far.

%python    
import pandas as pd #To work with dataset
import numpy as np #Math library     
#Importing the data
df_credit = pd.read_csv("../data.csv",index_col=0)

When I try the following code:

%python
from sqlalchemy import create_engine
engine = create_engine('sqlite://')
df_credit.to_sql('mydatasql',con=engine)

and then attempt to access it with SQL:

%sql select Age, count(1) from mydatasql where Age < 30 group by Age order by Age

I receive an error message stating "Table or view not found."

I suspect that %sql cannot read variables created with %python, but I am uncertain about this assumption.

Answer №1

Experiment with the %python.sql interpreter for an enhanced experience. Ensure that you have the pandasql package installed to make use of this feature effectively. For detailed information and guidance, refer to the following resource.

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