It could be a problem in your pyspark kernel.json configuration. For example my pyspark kernel is located at:
/usr/local/share/jupyter/kernels/pyspark/kernel.json
and contains:
{
"display_name": "pySpark (Spark 1.6.0)",
"language": "python",
"argv": [
"/usr/local/bin/python2.7",
"-m",
"ipykernel",
"-f",
"{connection_file}"
],
"env": {
"PYSPARK_PYTHON": "/usr/local/bin/python2.7",
"SPARK_HOME": "/usr/lib/spark",
"PYTHONPATH": "/usr/lib/spark/python/lib/py4j-0.9-src.zip:/usr/lib/spark/python/",
"PYTHONSTARTUP": "/usr/lib/spark/python/pyspark/shell.py",
"PYSPARK_SUBMIT_ARGS": "--master yarn-client pyspark-shell"
}
}
It is very important to point the same python version in both places (argv and PYSPARK_PYTHON).
Hope that helps!