Mixing
How to get keys from pyspark SparseVector
I conducted a tf-idf transform and now I want to get the keys and values from the result.
I am using the following udf code to get values:
def extract_values_from_vector(vector):
return vector.values.tolist()
extract_values_from_vector_udf = udf(lambda vector:extract_values_from_vector(vector), ArrayType(DoubleType()))
extract = rescaledData.withColumn("extracted_keys", extract_keys_from_vector_udf("features"))
So if the sparsevector looks like:
features=SparseVector(123241, {20672: 4.4233, 37393: 0.0, 109847: 3.7096, 118474: 5.4042}))
extracted_keys in my extract will look like:
[4.4233, 0.0, 3.7096, 5.4042]
My question is, how can I get the keys in the SparseVector dictionary? Such as keys = [20672, 37393, 109847, 118474] ?
I am trying the following code but it won't work
def extract_keys_from_vector(vector):
return vector.indices.tolist()
extract_keys_from_vector_udf = spf.udf(lambda vector:extract_keys_from_vector(vector), ArrayType(DoubleType()))
The result it gave me is: [null,null,null,null]
Can someone help?
Many thanks in advance!
pyspark tf-idf
asked Jan 1 at 16:34
A story-tellerA story-teller
347
add a comment |
I conducted a tf-idf transform and now I want to get the keys and values from the result.
I am using the following udf code to get values:
def extract_values_from_vector(vector):
return vector.values.tolist()
extract_values_from_vector_udf = udf(lambda vector:extract_values_from_vector(vector), ArrayType(DoubleType()))
extract = rescaledData.withColumn("extracted_keys", extract_keys_from_vector_udf("features"))
So if the sparsevector looks like:
features=SparseVector(123241, {20672: 4.4233, 37393: 0.0, 109847: 3.7096, 118474: 5.4042}))
extracted_keys in my extract will look like:
[4.4233, 0.0, 3.7096, 5.4042]
My question is, how can I get the keys in the SparseVector dictionary? Such as keys = [20672, 37393, 109847, 118474] ?
I am trying the following code but it won't work
def extract_keys_from_vector(vector):
return vector.indices.tolist()
extract_keys_from_vector_udf = spf.udf(lambda vector:extract_keys_from_vector(vector), ArrayType(DoubleType()))
The result it gave me is: [null,null,null,null]
Can someone help?
Many thanks in advance!
pyspark tf-idf
asked Jan 1 at 16:34
A story-tellerA story-teller
347
I don't think so, that's RDD
– A story-teller
Jan 2 at 4:11
2
@Astory-teller indices are integer values but your UDF returns an array of doubles. I guess you just want it to be ofIntegerType()
– Sergey Khudyakov
Jan 2 at 14:39
@Sergey Khudyakov I think you are right! Do you want to answer the question and I can mark accept?
– A story-teller
Jan 3 at 20:13
add a comment |
I conducted a tf-idf transform and now I want to get the keys and values from the result.
I am using the following udf code to get values:
def extract_values_from_vector(vector):
return vector.values.tolist()
extract_values_from_vector_udf = udf(lambda vector:extract_values_from_vector(vector), ArrayType(DoubleType()))
extract = rescaledData.withColumn("extracted_keys", extract_keys_from_vector_udf("features"))
So if the sparsevector looks like:
features=SparseVector(123241, {20672: 4.4233, 37393: 0.0, 109847: 3.7096, 118474: 5.4042}))
extracted_keys in my extract will look like:
[4.4233, 0.0, 3.7096, 5.4042]
My question is, how can I get the keys in the SparseVector dictionary? Such as keys = [20672, 37393, 109847, 118474] ?
I am trying the following code but it won't work
def extract_keys_from_vector(vector):
return vector.indices.tolist()
extract_keys_from_vector_udf = spf.udf(lambda vector:extract_keys_from_vector(vector), ArrayType(DoubleType()))
The result it gave me is: [null,null,null,null]
Can someone help?
Many thanks in advance!
pyspark tf-idf
asked Jan 1 at 16:34
A story-tellerA story-teller
347
I conducted a tf-idf transform and now I want to get the keys and values from the result.
I am using the following udf code to get values:
def extract_values_from_vector(vector):
return vector.values.tolist()
extract_values_from_vector_udf = udf(lambda vector:extract_values_from_vector(vector), ArrayType(DoubleType()))
extract = rescaledData.withColumn("extracted_keys", extract_keys_from_vector_udf("features"))
So if the sparsevector looks like:
features=SparseVector(123241, {20672: 4.4233, 37393: 0.0, 109847: 3.7096, 118474: 5.4042}))
extracted_keys in my extract will look like:
[4.4233, 0.0, 3.7096, 5.4042]
My question is, how can I get the keys in the SparseVector dictionary? Such as keys = [20672, 37393, 109847, 118474] ?
I am trying the following code but it won't work
def extract_keys_from_vector(vector):
return vector.indices.tolist()
extract_keys_from_vector_udf = spf.udf(lambda vector:extract_keys_from_vector(vector), ArrayType(DoubleType()))
The result it gave me is: [null,null,null,null]
Can someone help?
Many thanks in advance!
pyspark tf-idf
pyspark tf-idf
asked Jan 1 at 16:34
A story-tellerA story-teller
347
asked Jan 1 at 16:34
A story-tellerA story-teller
347
edited Jan 1 at 16:44
A story-teller
asked Jan 1 at 16:34
A story-tellerA story-teller
347
asked Jan 1 at 16:34
A story-tellerA story-teller
347
asked Jan 1 at 16:34
A story-tellerA story-teller
347
347
I don't think so, that's RDD
– A story-teller
Jan 2 at 4:11
2
@Astory-teller indices are integer values but your UDF returns an array of doubles. I guess you just want it to be ofIntegerType()
– Sergey Khudyakov
Jan 2 at 14:39
@Sergey Khudyakov I think you are right! Do you want to answer the question and I can mark accept?
– A story-teller
Jan 3 at 20:13
add a comment |
I don't think so, that's RDD
– A story-teller
Jan 2 at 4:11
2
@Astory-teller indices are integer values but your UDF returns an array of doubles. I guess you just want it to be ofIntegerType()
– Sergey Khudyakov
Jan 2 at 14:39
@Sergey Khudyakov I think you are right! Do you want to answer the question and I can mark accept?
– A story-teller
Jan 3 at 20:13
I don't think so, that's RDD
– A story-teller
Jan 2 at 4:11
I don't think so, that's RDD
– A story-teller
Jan 2 at 4:11
2
2
@Astory-teller indices are integer values but your UDF returns an array of doubles. I guess you just want it to be of
IntegerType()– Sergey Khudyakov
Jan 2 at 14:39
@Astory-teller indices are integer values but your UDF returns an array of doubles. I guess you just want it to be of
IntegerType()– Sergey Khudyakov
Jan 2 at 14:39
@Sergey Khudyakov I think you are right! Do you want to answer the question and I can mark accept?
– A story-teller
Jan 3 at 20:13
@Sergey Khudyakov I think you are right! Do you want to answer the question and I can mark accept?
– A story-teller
Jan 3 at 20:13
add a comment |
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I don't think so, that's RDD
– A story-teller
Jan 2 at 4:11
2
@Astory-teller indices are integer values but your UDF returns an array of doubles. I guess you just want it to be of
IntegerType()– Sergey Khudyakov
Jan 2 at 14:39
@Sergey Khudyakov I think you are right! Do you want to answer the question and I can mark accept?
– A story-teller
Jan 3 at 20:13