Coming from here, I’m trying to read the correct values from this dataset in Pyspark. I made a good progress using df = spark.read.csv("hashtag_donaldtrump.csv", header=True, multiLine=True), but now I have some weird values in some cells, as you can see in this picture (last lins): Do you know how could I get rid of them? ..
Category : pyspark
So I have a given PySpark DataFrame, say df, looking like below: df.show() +——————–+——————-+ | series| value | +——————–+——————-+ | XXXX-AAAA | 1 | | XXXX-BB | 2 | | XXXX-CCCCC | 3 | +——————–+——————-+ In the series column, I would like to get rid of the XXXX- substring (i.e. length of 5 characters), which ..
I have a dataset which contains Multiple columns and rows. Currently, it’s in String type And, I wanted to convert to a date-time format for further task. I tried this below code which returns null df = df.withColumn(‘Date_Time’,df[‘Date_Time’].cast(TimestampType())) df.show() I tried some of the solutions from here, but none of them is working all, in ..
I am new to Spark. I am trying to make a recommendation system, in order to obtain implicit weights i wanted to count how many time a user has ordered a product. I am strugeling with this. i have a table with user_id, product_id and weight. these id’s are not unique, i would like to ..
Dataframe : name Location Rating Frequency Ali Nasi Kandar 1 star 1 Ali Baskin Robin 4 star 3 Ali Nasi Ayam 3 star 1 Ali Burgergrill 2 star 2 Lee Fries 1 star 3 Abu Mcdonald 3 star 3 Abu KFC 3 star 1 Ahmad Nandos 3 star 2 Ahmad Burgerdhil 2 star 3 Ahmad ..
Hi I am new to spark and I am trying to write my first program when I import from pyspark.mllib.linalg import Vectors i get the following I am using anaconda and Jyupter note book I have installed spark and I am able to execute from terminal ————————————————————————– TypeError Traceback (most recent call last) <ipython-input-1-da13502db94b> in ..
How to save bytes string to hadoop hdfs in pyspark? In python, bytes string can by simply saved to single xml file: xml = b'<Value>1</Value>’ file_path = ‘/home/user/file.xml’ with open(file_path,’wb’) as f: f.write(xml) Expected output: ‘hdfs://hostname:9000/file.xml’ Source: Python..
So I have some code that needs to connect on Cassandra, I did set up Hadoop_home and I have pyspark inside a project, I configure the .conf file for connection, but when I try to execute I get this error. I did try to connect on Cassandra in another script and it is working (manually), ..
rdd = sc.textFile(‘count.csv’) x = rdd.partitionBy(10, ‘Hourly_Counts’) x.getNumPartitions() x.take(1) Sample RDD (Before removing headers): [(‘ID’, [‘Date_Time’, ‘Year’, ‘Month’, ‘Mdate’, ‘Day’, ‘Time’, ‘Sensor_ID’, ‘Sensor_Name’, ‘Hourly_Counts’]), (‘2887628′, [’11/01/2019 05:00:00 PM’, ‘2019’, ‘November’, ‘1’, ‘Friday’, ’17’, ’34’, ‘Flinders St-Spark La’, ‘300’]), (‘2887629′, [’11/01/2019 05:00:00 PM’, ‘2019’, ‘November’, ‘1’, ‘Friday’, ’17’, ’39’, ‘Alfred Place’, ‘604’]), (‘2887630′, [’11/01/2019 05:00:00 PM’, ..
Is there a way to add ‘****’ at the end of the each row of my data frame? for example detail orientated marketing and events community development consultant leader medical assistant instructor android developerator project natural hair care specialist turn to detail orientated **** marketing and events **** community development consultant **** leader medical assistant ..
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