Hi Alexander
Many thanks. I think the key was I needed to import that max function. Turns
out you do not need to use col
Df.select(max(³foo²)).show()
To get the actual value of max you still need to write more code than I
would expect. I wonder if there is a easier way to work with Rows?
In [19]:
from pyspark.sql.functions import max
maxRow = idDF2.select(max("col[id]")).collect()
max = maxRow[0].asDict()['max(col[id])']
max
Out[19]:
713912692155621376
From: Alexander Krasnukhin <the.malk...@gmail.com>
Date: Monday, March 28, 2016 at 5:55 PM
To: Andrew Davidson <a...@santacruzintegration.com>
Cc: "user @spark" <user@spark.apache.org>
Subject: Re: looking for an easy to to find the max value of a column in a
data frame
> e.g. select max value for column "foo":
>
> from pyspark.sql.functions import max, col
> df.select(max(col("foo"))).show()
>
> On Tue, Mar 29, 2016 at 2:15 AM, Andy Davidson <a...@santacruzintegration.com>
> wrote:
>> I am using pyspark 1.6.1 and python3.
>>
>>
>> Given:
>>
>> idDF2 = idDF.select(idDF.id, idDF.col.id <http://idDF.col.id> )
>> idDF2.printSchema()
>> idDF2.show()
>> root
>> |-- id: string (nullable = true)
>> |-- col[id]: long (nullable = true)
>>
>> +----------+----------+
>> | id| col[id]|
>> +----------+----------+
>> |1008930924| 534494917|
>> |1008930924| 442237496|
>> |1008930924| 98069752|
>> |1008930924|2790311425|
>> |1008930924|3300869821|
>>
>>
>> I have to do a lot of work to get the max value
>>
>> rows = idDF2.select("col[id]").describe().collect()
>> hack = [s for s in rows if s.summary == 'max']
>> print(hack)
>> print(hack[0].summary)
>> print(type(hack[0]))
>> print(hack[0].asDict()['col[id]'])
>> maxStr = hack[0].asDict()['col[id]']
>> ttt = int(maxStr)
>> numDimensions = 1 + ttt
>> print(numDimensions)
>>
>> Is there an easier way?
>>
>> Kind regards
>>
>> Andy
>
>
>
> --
> Regards,
> Alexander
