Python

df.groupBy("Profession").agg({'Age':'avg', 'Gender':'count'}).show()

from pyspark.sql import functions as F
df.groupBy("Profession").agg(F.mean('Age'), F.count('Age')).show()

PREVIOUS	NEXT

Code Example
Python :: iter() python
Python :: python pathlib create directory if not exists
Python :: python location
Python :: python find directory of file
Python :: OneHotEncoder()
Python :: Date Time split in python
Python :: python3 ngrok.py
Python :: dockerfile for django project
Python :: how to check the size of a file in python
Python :: python mixins
Python :: only keep rows of a dataframe based on a column value
Python :: python cv2 convert image to binary
Python :: find the index of a character in a string python
Python :: http server in python
Python :: pd df append
Python :: delete tuple from list python
Python :: check if point is inside polygon python
Python :: what does int do in python
Python :: streamlit button
Python :: random torch tensor
Python :: check if there are duplicates in list
Python :: levenshtein distance
Python :: split a string with 2 char each in python
Python :: how to use cv2.COLOR_BGR2GRAY
Python :: Python NumPy repeat Function Syntax
Python :: connect to spark cluster
Python :: python bit shift by 3
Python :: python find string
Python :: dictionary with list as value py
Python :: how to check if a file exists in python