Pyspark dense

import pyspark.sql.functions as F
import pyspark.sql.types as T

#or: to_array = F.udf(lambda v: list([float(x) for x in v]), T.ArrayType(T.FloatType()))
to_array = F.udf(lambda v: v.toArray().tolist(), T.ArrayType(T.FloatType()))
df = df.withColumn('features', to_array('features'))

Source: stackoverflow.com

Similar codes

1 vote519 views1 answer
Matlab modulo
Matlab
0 vote395 views1 answer
How to read dat file in matlab
Matlab
0 vote405 views1 answer
Geom_density_2d
Matlab
0 vote385 views1 answer
Streamline matlab
Matlab
1 vote571 views2 answers
Exponential matlab
Matlab
0 vote418 views1 answer
Matlab app designer axes buttondownfcn
Matlab
0 vote422 views1 answer
Matlab if
Matlab
2 votes509 views1 answer
Matlab how to set figure size so you can see plot
Matlab
0 vote409 views2 answers
Octave plot legend
Matlab
0 vote381 views1 answer
Matlab inverse z transform
Matlab