DataFrame API in Snowpark in Snowflake - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a DataFrame in Snowpark?

A DataFrame in Snowpark is like a table in a database. It holds data in rows and columns and lets you work with that data using simple commands.

beginner

How do you create a DataFrame from a Snowflake table using Snowpark?

You use the session object and call table("table_name"). For example, df = session.table("my_table") creates a DataFrame from the table named 'my_table'.

beginner

What does the filter() method do in a Snowpark DataFrame?

The filter() method selects rows that meet a condition. It’s like picking only the data you want based on rules you set.

intermediate

Explain the difference between select() and filter() in Snowpark DataFrames.

select() chooses which columns to keep, while filter() chooses which rows to keep based on conditions.

beginner

How does Snowpark DataFrame help with processing data in Snowflake?

Snowpark DataFrame lets you write code that runs inside Snowflake, so data stays safe and processing is fast without moving data outside.

Which method creates a DataFrame from a Snowflake table in Snowpark?

A session.createDataFrame()

B session.loadTable()

C session.table("table_name")

D session.newDataFrame()

The correct method to create a DataFrame from an existing table is session.table("table_name").

What does the filter() method do in a Snowpark DataFrame?

A Selects rows based on a condition

B Selects columns

C Joins two DataFrames

D Sorts the DataFrame

filter() selects rows that meet a condition.

Which method would you use to choose specific columns in a Snowpark DataFrame?

A filter()

B select()

C groupBy()

D join()

select() is used to choose specific columns.

Why is processing data with Snowpark DataFrame efficient?

A Because it runs code inside Snowflake without moving data

B Because it uses external servers

C Because it moves data to your local machine

D Because it exports data to CSV first

Snowpark runs code inside Snowflake, keeping data secure and processing fast.

What is the main structure used to hold data in Snowpark?

A Array

B Dictionary

C List

D DataFrame

DataFrame is the main structure to hold and work with data in Snowpark.

Describe how you would create and filter a DataFrame in Snowpark.

Think about starting from a table and then picking rows you want.

Explain the difference between selecting columns and filtering rows in a Snowpark DataFrame.

One picks what data fields to keep, the other picks which records to keep.