Loading a dataframe from a parquet file
A dataframe file called sherlock_sentences.parquet is available in your workspace. Each row of this dataframe contains a single clause. Each clause is a sequence of words that is separated from other clauses by punctuation, such as periods, quotes, and other natural language delimiters that signify a sentence or sentence fragment. Your mission, if you choose to accept it, is to load this file.
Este ejercicio forma parte del curso
Introduction to Spark SQL in Python
Instrucciones del ejercicio
- Load
sherlock_sentences.parquet. - Filter on "id > 70", and show the first 5 rows.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Load the dataframe
df = ____('sherlock_sentences.parquet')
# Filter and show the first 5 rows
df.where('id > 70').____(____, truncate=False)