logo
down
shadow

Pyspark Split Columns


Pyspark Split Columns

By : Alex Logatski
Date : November 18 2020, 03:01 PM
will be helpful for those in need The pattern is a regular expression, see split; and ^ is an anchor that matches the beginning of string in regex, to match literally, you need to escape it:
code :
cols = F.split(tdf['Combined'], r'\^')
tdf = tdf.withColumn('column1', cols.getItem(0))
tdf = tdf.withColumn('column2', cols.getItem(1))
tdf.show(truncate = False)

+----+----+------------+---+-------------+-------+-------+
|UK_1|UK_2|Date        |Cat|Combined     |column1|column2|
+----+----+------------+---+-------------+-------+-------+
|1   |1   |12/10/2016  |A  |Water^World  |Water  |World  |
|1   |2   |null        |A  |Sea^Born     |Sea    |Born   |
|2   |1   |14/10/2016  |B  |Germ^Any     |Germ   |Any    |
|3   |3   |!~2016/2/276|B  |Fin^Land     |Fin    |Land   |
|null|1   |26/09/2016  |A  |South^Korea  |South  |Korea  |
|1   |1   |12/10/2016  |A  |North^America|North  |America|
|1   |2   |null        |A  |South^America|South  |America|
|2   |1   |14/10/2016  |B  |New^Zealand  |New    |Zealand|
|null|null|!~2016/2/276|B  |South^Africa |South  |Africa |
|null|1   |26/09/2016  |A  |Saudi^Arabia |Saudi  |Arabia |
+----+----+------------+---+-------------+-------+-------+


Share : facebook icon twitter icon
How to split Vector into columns - using PySpark

How to split Vector into columns - using PySpark


By : Muhammad Maaz Sheikh
Date : March 29 2020, 07:55 AM
it fixes the issue Spark >= 3.0.0
Since Spark 3.0.0 this can be done without using UDF.
code :
from pyspark.ml.functions import vector_to_array

(df
    .withColumn("xs", vector_to_array("vector")))
    .select(["word"] + [col("xs")[i] for i in range(3)]))

## +-------+-----+-----+-----+
## |   word|xs[0]|xs[1]|xs[2]|
## +-------+-----+-----+-----+
## | assert|  1.0|  2.0|  3.0|
## |require|  0.0|  2.0|  0.0|
## +-------+-----+-----+-----+
from pyspark.ml.linalg import Vectors

df = sc.parallelize([
    ("assert", Vectors.dense([1, 2, 3])),
    ("require", Vectors.sparse(3, {1: 2}))
]).toDF(["word", "vector"])

def extract(row):
    return (row.word, ) + tuple(row.vector.toArray().tolist())

df.rdd.map(extract).toDF(["word"])  # Vector values will be named _2, _3, ...

## +-------+---+---+---+
## |   word| _2| _3| _4|
## +-------+---+---+---+
## | assert|1.0|2.0|3.0|
## |require|0.0|2.0|0.0|
## +-------+---+---+---+
from pyspark.sql.functions import udf, col
from pyspark.sql.types import ArrayType, DoubleType

def to_array(col):
    def to_array_(v):
        return v.toArray().tolist()
    # Important: asNondeterministic requires Spark 2.3 or later
    # It can be safely removed i.e.
    # return udf(to_array_, ArrayType(DoubleType()))(col)
    # but at the cost of decreased performance
    return udf(to_array_, ArrayType(DoubleType())).asNondeterministic()(col)

(df
    .withColumn("xs", to_array(col("vector")))
    .select(["word"] + [col("xs")[i] for i in range(3)]))

## +-------+-----+-----+-----+
## |   word|xs[0]|xs[1]|xs[2]|
## +-------+-----+-----+-----+
## | assert|  1.0|  2.0|  3.0|
## |require|  0.0|  2.0|  0.0|
## +-------+-----+-----+-----+
How to split a list to multiple columns in Pyspark?

How to split a list to multiple columns in Pyspark?


By : Thea Rith
Date : March 29 2020, 07:55 AM
like below fixes the issue I have: , It depends on the type of your "list":
code :
df = hc.createDataFrame(sc.parallelize([['a', [1,2,3]], ['b', [2,3,4]]]), ["key", "value"])
df.printSchema()
df.show()
root
 |-- key: string (nullable = true)
 |-- value: array (nullable = true)
 |    |-- element: long (containsNull = true)
df.select("key", df.value[0], df.value[1], df.value[2]).show()
+---+--------+--------+--------+
|key|value[0]|value[1]|value[2]|
+---+--------+--------+--------+
|  a|       1|       2|       3|
|  b|       2|       3|       4|
+---+--------+--------+--------+

+---+-------+
|key|  value|
+---+-------+
|  a|[1,2,3]|
|  b|[2,3,4]|
+---+-------+
df2 = df.select("key", psf.struct(
        df.value[0].alias("value1"), 
        df.value[1].alias("value2"), 
        df.value[2].alias("value3")
    ).alias("value"))
df2.printSchema()
df2.show()
root
 |-- key: string (nullable = true)
 |-- value: struct (nullable = false)
 |    |-- value1: long (nullable = true)
 |    |-- value2: long (nullable = true)
 |    |-- value3: long (nullable = true)

+---+-------+
|key|  value|
+---+-------+
|  a|[1,2,3]|
|  b|[2,3,4]|
+---+-------+
df2.select('key', 'value.*').show()
+---+------+------+------+
|key|value1|value2|value3|
+---+------+------+------+
|  a|     1|     2|     3|
|  b|     2|     3|     4|
+---+------+------+------+
split a array columns into rows pyspark

split a array columns into rows pyspark


By : rfahrney7
Date : March 29 2020, 07:55 AM
Does that help I have a DataFrame similar to following: , You can convert items to map:
code :
from pyspark.sql.functions import *
from operator import itemgetter

@udf("map<string, string>")
def as_map(vks):
    return {k: v for v, k in vks}

remapped = new_df.select("frequency", as_map("items").alias("items"))
keys = remapped.select("items").rdd \
   .flatMap(lambda x: x[0].keys()).distinct().collect()
remapped.select([col("items")[key] for key in keys] + ["frequency"]) 

+------------+------------------+---------+
|items[color]|items[productcode]|frequency|
+------------+------------------+---------+
|         red|             hello|        7|
|        blue|                hi|        8|
|       black|               hoi|        7|
+------------+------------------+---------+
Split large array columns into multiple columns - Pyspark

Split large array columns into multiple columns - Pyspark


By : user1571140
Date : March 29 2020, 07:55 AM
I hope this helps you . This solution will work for your problem, no matter the number of initial columns and the size of your arrays. Moreover, if a column has different array sizes (eg [1,2], [3,4,5]), it will result in the maximum number of columns with null values filling the gap.
code :
from pyspark.sql import functions as F

df = spark.createDataFrame(sc.parallelize([['a', [1,2,3], [1,2,3]], ['b', [2,3,4], [2,3,4]]]), ["id", "var1", "var2"])

columns = df.drop('id').columns
df_sizes = df.select(*[F.size(col).alias(col) for col in columns])
df_max = df_sizes.agg(*[F.max(col).alias(col) for col in columns])
max_dict = df_max.collect()[0].asDict()

df_result = df.select('id', *[df[col][i] for col in columns for i in range(max_dict[col])])
df_result.show()
>>>
+---+-------+-------+-------+-------+-------+-------+
| id|var1[0]|var1[1]|var1[2]|var2[0]|var2[1]|var2[2]|
+---+-------+-------+-------+-------+-------+-------+
|  a|      1|      2|      3|      1|      2|      3|
|  b|      2|      3|      4|      2|      3|      4|
+---+-------+-------+-------+-------+-------+-------+
How to split columns into label and features in pyspark?

How to split columns into label and features in pyspark?


By : Scott Doherty
Date : March 29 2020, 07:55 AM
Hope that helps VectorAssembler can be used to transform a given list of columns to a single vector column.
Example usage:
code :
assembler = VectorAssembler(
    inputCols=["c1", "c2", "c3", "c4"],
    outputCol="features")

output = assembler.transform(df)
Related Posts Related Posts :
  • Is it possible to animate a ViewCell when it appears or disappears?
  • How to install cocoa pods
  • rxjs created observable timeout always errors
  • adding lines without overwriting existing
  • How to setup Microsoft LUIS to detect composed names (dash separated)
  • In Ektron, Load Last Active Location
  • In Cypress how to count a selection of items and get the length?
  • Openlayers rotation broken when using precompose to clip a layer
  • Using SendGrid package with C# "Web" as shown in examples, is undefined
  • Service Worker: files are updated on the server but old version showing in browser
  • Ignore empty form values on update using laravl5
  • Expect: How to get the exit code from spawned process
  • Using In clause in apache Camel
  • Pass qualifier to provider method
  • Disable retained MQTT messages in Rabbit MQ
  • How to escape mask rules in kendo maskedtextbox for angular2?
  • How to delete blank rows in spss modeler
  • modify content of http response via haproxy
  • PUT multiple related records in Data API request
  • Getting data (text, ...) what user says
  • Transforming a list of structs with parent IDs into a list of trees
  • Eloquent relationship returns null, but a similar one is fine
  • how can i find the exact tick in netlogo in which agents take an action?
  • await - catch error - UnhandledPromiseRejectionWarning
  • Understanding Fabric Daily Summary Email
  • How to pass string and file as input for form parameters in a POST method using Karate
  • Windows app: fatal error C1083: Cannot open include file: 'gdiplus.h': No such file or directory
  • I have a list and I want to print a range of it's content with range and for loop
  • Integration Testing with Kitchen CI
  • Can't seem to get the from <asp:Literal </asp:Literal> property in Web forms
  • Can't access faraday params on views
  • RQM testNG integration
  • How can I enable unit templates?
  • Displaying multiple colors on a single data bar
  • Loading aggregates on reacting to domain events
  • Integrating Azure Cognitive services with Robotic Process Automation
  • Autodesk Forge Design Automation quota
  • Why can i not login to the wso2 api store using the email address of a secondary user store account
  • order not working with sortWhitelist
  • config.site for vendor libs on Fedora x86_64
  • Getting a limit response from Loopback, when no authentication is provided
  • What is the effect of FeedOptions.EnableLowPrecisionOrderBy Property
  • Recordset Null Value not being detected in null check
  • How to connect to an arbitary database using FaaS?
  • SourceTree not working after Windows 10 Fall Creators Update
  • How to get all registered user from Openfire through http
  • Error "invalid parameter" when launching a converted app
  • Using react-sortable-hoc with react-virtualized Grid
  • Xamarin.Forms: How to set values in Style only on specific platform
  • ZSH avoid adding empty commands to history?
  • Grep regular expression - Pattern issue
  • Unable to connect via Java to a DSE graph
  • Check if attachment is up to date with current document revision in couchdb
  • Can I bind an argument value ahead of time when using redux-actions?
  • How to change a member field with Kotlin reflection?
  • Replaying merged streams individually
  • DevExpress GridColumn strange proportional sizing
  • Drools Decision table error : Error while creating KieBase
  • Kafka-Flink-Stream processing: Is there a way to reload input files into the variables being used in a streaming process
  • How to export and import nifi flow from one HDP to another HDP
  • shadow
    Privacy Policy - Terms - Contact Us © voile276.org