如何在Spark中为python 3.5安装numpy和pandas？

Question

我正在尝试使用Python 3.5而不是Python 2.7在Spark中运行线性回归。 所以首先我导出了PYSPARK_PHTHON = python3。 我收到错误“没有名为numpy的模块”。 我尝试“点安装numpy”，但点无法识别设置PYSPARK_PYTHON。 我如何要求pip安装numpy for 3.5？ 谢谢 ...

$ 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

因此，我实际上根本不认为这是一个火花问题。 在我看来，您需要环境方面的帮助。 正如评论者所提到的，您需要设置一个python 3环境，将其激活，然后安装numpy。 看看这有关使用环境中工作的一点点帮助。 设置python3环境后，您应该将其激活，然后运行pip install numpy或conda install numpy ，您应该一切顺利。

Answer 2

如果您在local运行作业，则只需升级pyspark

自制： brew upgrade pyspark这应该可以解决大多数依赖性。