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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.

Bu egzersiz

Introduction to Spark SQL in Python

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

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

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

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

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