CODEWITHSUNDEEP
pythondataframepyspark
User12345
User12345

Reputation: 5480

How to find maximum value of a column in python dataframe

I have a data frame in pyspark. In this data frame I have column called id that is unique.

Now I want to find the maximum value of the column id in the data frame.

I have tried like below 

df['id'].max()

But got below error

TypeError: 'Column' object is not callable

Please let me know how to find the maximum value of a column in data frame

In the answer by @Dadep the link gives the correct answer

Upvotes: 14

Views: 48405

Answers (4)

Haroun Mohammedi
Haroun Mohammedi

Reputation: 2424

I'm coming from scala, but I do believe that this is also applicable on python.

val max = df.select(max("id")).first()

but you have first import the following :

from pyspark.sql.functions import max

Upvotes: 2

Deven
Deven

Reputation: 741

You can use the aggregate max as also mentioned in the pyspark documentation link below:

Link : https://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=agg

Code:

row1 = df1.agg({"id": "max"}).collect()[0]

Upvotes: 1

piyush kaushal
piyush kaushal

Reputation: 11

The following can be used in pyspark:

df.select(max("id")).show()

Upvotes: 1

Dadep
Dadep

Reputation: 2788

if you are using pandas .max() will work : 

>>> df2=pd.DataFrame({'A':[1,5,0], 'B':[3, 5, 6]})
>>> df2['A'].max()
5

Else if it's a spark dataframe:

Best way to get the max value in a Spark dataframe column

Upvotes: 23

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