scala: How to remove a String from mulitple DataFrame Columns whose values are Array[String]
I have a DataFrame where multiple columns contain values of type Array[String] (up to X Columns).
| col1 | col2 | col3 |
| ----------------------------------------------|
| Array[String] | Array[String] | Array[String] |
| ... |
I have another list of strings (not within the DataFrame) which are words that I absolutely hate and don't want in my DataFrame.
val bad_words = Array("doctor","saint")
I want to search through every Column with Array[String] as its type, and remove the individual strings within the array whose contents match one of the words in the bad_words list, i.e.
Before:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone","doctor"] | ["I don't like the doctor","Bob Swagga"] |
| ["Dorothy M. is a saint","I'm a banana"] | ["eenie","meenie","miney","Moe"] |
After:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone"] | ["Bob Swagga"] |
| ["I'm a banana"] | ["eenie","meenie","miney","Moe"] |
As illustrated, I also want to check whether the bad_words are a substring of any strings in the Array.
scala apache-spark dataframe
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
add a comment |
I have a DataFrame where multiple columns contain values of type Array[String] (up to X Columns).
| col1 | col2 | col3 |
| ----------------------------------------------|
| Array[String] | Array[String] | Array[String] |
| ... |
I have another list of strings (not within the DataFrame) which are words that I absolutely hate and don't want in my DataFrame.
val bad_words = Array("doctor","saint")
I want to search through every Column with Array[String] as its type, and remove the individual strings within the array whose contents match one of the words in the bad_words list, i.e.
Before:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone","doctor"] | ["I don't like the doctor","Bob Swagga"] |
| ["Dorothy M. is a saint","I'm a banana"] | ["eenie","meenie","miney","Moe"] |
After:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone"] | ["Bob Swagga"] |
| ["I'm a banana"] | ["eenie","meenie","miney","Moe"] |
As illustrated, I also want to check whether the bad_words are a substring of any strings in the Array.
scala apache-spark dataframe
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
add a comment |
I have a DataFrame where multiple columns contain values of type Array[String] (up to X Columns).
| col1 | col2 | col3 |
| ----------------------------------------------|
| Array[String] | Array[String] | Array[String] |
| ... |
I have another list of strings (not within the DataFrame) which are words that I absolutely hate and don't want in my DataFrame.
val bad_words = Array("doctor","saint")
I want to search through every Column with Array[String] as its type, and remove the individual strings within the array whose contents match one of the words in the bad_words list, i.e.
Before:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone","doctor"] | ["I don't like the doctor","Bob Swagga"] |
| ["Dorothy M. is a saint","I'm a banana"] | ["eenie","meenie","miney","Moe"] |
After:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone"] | ["Bob Swagga"] |
| ["I'm a banana"] | ["eenie","meenie","miney","Moe"] |
As illustrated, I also want to check whether the bad_words are a substring of any strings in the Array.
scala apache-spark dataframe
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
I have a DataFrame where multiple columns contain values of type Array[String] (up to X Columns).
| col1 | col2 | col3 |
| ----------------------------------------------|
| Array[String] | Array[String] | Array[String] |
| ... |
I have another list of strings (not within the DataFrame) which are words that I absolutely hate and don't want in my DataFrame.
val bad_words = Array("doctor","saint")
I want to search through every Column with Array[String] as its type, and remove the individual strings within the array whose contents match one of the words in the bad_words list, i.e.
Before:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone","doctor"] | ["I don't like the doctor","Bob Swagga"] |
| ["Dorothy M. is a saint","I'm a banana"] | ["eenie","meenie","miney","Moe"] |
After:
| col1: Array[String] | col2: Array[String] |
| -----------------------------------------|--------------------------------------------|
| ["donut","Frisbee","phone"] | ["Bob Swagga"] |
| ["I'm a banana"] | ["eenie","meenie","miney","Moe"] |
As illustrated, I also want to check whether the bad_words are a substring of any strings in the Array.
scala apache-spark dataframe
scala apache-spark dataframe
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
asked Nov 15 '18 at 20:39
TheRumplerTheRumpler
277
277
add a comment |
add a comment |
1 Answer
1
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One way of doing this is to define a UDF.
def removeBadWords(input: Seq[String]): Seq[String] = {
val badWords: Seq[String] = ???
input.filter{ // Logic to filter strings containing bad words}
}
val badWordsUdf = udf(removeBadWords(_: Seq[String]))
def.select(badWordsUdf($"col1"), badWordsUdf($"col2"))
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
One way of doing this is to define a UDF.
def removeBadWords(input: Seq[String]): Seq[String] = {
val badWords: Seq[String] = ???
input.filter{ // Logic to filter strings containing bad words}
}
val badWordsUdf = udf(removeBadWords(_: Seq[String]))
def.select(badWordsUdf($"col1"), badWordsUdf($"col2"))
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
add a comment |
One way of doing this is to define a UDF.
def removeBadWords(input: Seq[String]): Seq[String] = {
val badWords: Seq[String] = ???
input.filter{ // Logic to filter strings containing bad words}
}
val badWordsUdf = udf(removeBadWords(_: Seq[String]))
def.select(badWordsUdf($"col1"), badWordsUdf($"col2"))
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
add a comment |
One way of doing this is to define a UDF.
def removeBadWords(input: Seq[String]): Seq[String] = {
val badWords: Seq[String] = ???
input.filter{ // Logic to filter strings containing bad words}
}
val badWordsUdf = udf(removeBadWords(_: Seq[String]))
def.select(badWordsUdf($"col1"), badWordsUdf($"col2"))
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
One way of doing this is to define a UDF.
def removeBadWords(input: Seq[String]): Seq[String] = {
val badWords: Seq[String] = ???
input.filter{ // Logic to filter strings containing bad words}
}
val badWordsUdf = udf(removeBadWords(_: Seq[String]))
def.select(badWordsUdf($"col1"), badWordsUdf($"col2"))
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
answered Nov 16 '18 at 9:40
Terry DactylTerry Dactyl
1,119412
1,119412
add a comment |
add a comment |
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