在使用pyspark.ml.feature.Tokenizer时,可以通过以下步骤打印令牌:
from pyspark.sql import SparkSession
from pyspark.ml.feature import Tokenizer
spark = SparkSession.builder.appName("TokenizerExample").getOrCreate()
data = [(0, "This is an example sentence"),
(1, "Another example sentence")]
df = spark.createDataFrame(data, ["id", "sentence"])
tokenizer = Tokenizer(inputCol="sentence", outputCol="words")
tokenized = tokenizer.transform(df)
tokenized.select("words").show(truncate=False)
完整的代码示例如下:
from pyspark.sql import SparkSession
from pyspark.ml.feature import Tokenizer
spark = SparkSession.builder.appName("TokenizerExample").getOrCreate()
data = [(0, "This is an example sentence"),
(1, "Another example sentence")]
df = spark.createDataFrame(data, ["id", "sentence"])
tokenizer = Tokenizer(inputCol="sentence", outputCol="words")
tokenized = tokenizer.transform(df)
tokenized.select("words").show(truncate=False)
这段代码将会将句子分割成单词,并打印出分割后的结果。在这个例子中,输入列是"sentence",输出列是"words"。输出结果将会显示每个句子被分割成的单词列表。
推荐的腾讯云相关产品是腾讯云的Apache Spark for Tencent Cloud(https://cloud.tencent.com/product/spark),它是一种大数据处理框架,可以用于分布式数据处理和分析。
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