How do I install numpy and pandas for Python 3.5 in Spark?

Question

I am trying to run a linear regression in Spark using Python 3.5 instead of Python 2.7. So first I exported PYSPARK_PHTHON=python3. I received an error "No module named numpy". I tried to "pip install numpy" but pip doesn't recognize the setting PYSPARK_PYTHON. How to I ask pip to install numpy for 3.5? Thank you ...

$ export PYSPARK_PYTHON=python3

$ spark-submit linreg.py
....
Traceback (most recent call last):
  File "/home/yoda/Code/idenlink-examples/test22-spark-linreg/linreg.py", line 115, in <module>
from pyspark.ml.linalg import Vectors
  File "/home/yoda/install/spark/python/lib/pyspark.zip/pyspark/ml/__init__.py", line 22, in <module>
  File "/home/yoda/install/spark/python/lib/pyspark.zip/pyspark/ml/base.py", line 21, in <module>
  File "/home/yoda/install/spark/python/lib/pyspark.zip/pyspark/ml/param/__init__.py", line 26, in <module>
  ImportError: No module named 'numpy'

$ pip install numpy
Requirement already satisfied: numpy in /home/yoda/.local/lib/python2.7/site-packages

$ pyspark
Python 3.5.2 (default, Nov 17 2016, 17:05:23) 
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
17/02/09 20:29:20 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/02/09 20:29:20 WARN Utils: Your hostname, yoda-VirtualBox resolves to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface enp0s3)
17/02/09 20:29:20 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
17/02/09 20:29:31 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 2.1.0
      /_/

Using Python version 3.5.2 (default, Nov 17 2016 17:05:23)
SparkSession available as 'spark'.
>>> import site; site.getsitepackages()
['/usr/local/lib/python3.5/dist-packages', '/usr/lib/python3/dist-packages', '/usr/lib/python3.5/dist-packages']
>>> 

Answer 1

So I don't actually see this as a spark question at all. It looks to me like you need help with environments. As the commenter mentioned you need to setup a python 3 environment, activate it, and then install numpy. Take a look at this for a little help on working with environments. After setting up a python3 environment you should activate it and then run pip install numpy or conda install numpy and you should be good to go.

Answer 2

If you are running job local you just need to upgrade pyspark

Homebrew: brew upgrade pyspark this should solve most of the dependencies.