2 python apache-spark apache-spark-sql
我有一个Spark Dataframe,其中每一行都有一个评论。
+--------------------+
| reviewText|
+--------------------+
|Spiritually and m...|
|This is one my mu...|
|This book provide...|
|I first read THE ...|
+--------------------+
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我试过了:
SplitSentences = df.withColumn("split_sent",sentencesplit_udf(col('reviewText')))
SplitSentences = SplitSentences.select(SplitSentences.split_sent)
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然后我创建了函数:
def word_count(text):
return len(text.split())
wordcount_udf = udf(lambda x: word_count(x))
df2 = SplitSentences.withColumn("word_count",
wordcount_udf(col('split_sent')).cast(IntegerType())
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我想计算每个评论(行)中每个句子的单词,但它不起作用。
您可以使用split 内置函数拆分句子,并使用size 内置函数将数组的长度计算为
df.withColumn("word_count", F.size(F.split(df['reviewText'], ' '))).show(truncate=False)
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这样,您就不需要昂贵的udf函数
例如,假设您有一个句子数据框
+-----------------------------+
|reviewText |
+-----------------------------+
|this is text testing spliting|
+-----------------------------+
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上述申请后size和split功能你应该得到
+-----------------------------+----------+
|reviewText |word_count|
+-----------------------------+----------+
|this is text testing spliting|5 |
+-----------------------------+----------+
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如果您在一行中有多个句子,如下所示
+----------------------------------------------------------------------------------+
|reviewText |
+----------------------------------------------------------------------------------+
|this is text testing spliting. this is second sentence. And this is the third one.|
+----------------------------------------------------------------------------------+
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然后,您将必须编写udf如下的函数
from pyspark.sql import functions as F
def countWordsInEachSentences(array):
return [len(x.split()) for x in array]
countWordsSentences = F.udf(lambda x: countWordsInEachSentences(x.split('. ')))
df.withColumn("word_count", countWordsSentences(df['reviewText'])).show(truncate=False)
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这应该给你
+----------------------------------------------------------------------------------+----------+
|reviewText |word_count|
+----------------------------------------------------------------------------------+----------+
|this is text testing spliting. this is second sentence. And this is the third one.|[5, 4, 6] |
+----------------------------------------------------------------------------------+----------+
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我希望答案是有帮助的
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