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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 exercício faz parte do curso

Introduction to Spark SQL in Python

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Instruções do exercício

  • Load sherlock_sentences.parquet.
  • Filter on "id > 70", and show the first 5 rows.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Load the dataframe
df = ____('sherlock_sentences.parquet')

# Filter and show the first 5 rows
df.where('id > 70').____(____, truncate=False)
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