Pyspark dataframe error, cannot work psdf.show() - pyspark

Question

The psdf.show() does not work although DataFrame looks to be created. I wonder what is the cause of this.
The environment is
Pyspark:3.2.1-hadoop3.2
Hadoop:3.2.1
JDK: 18.0.1.1
local
The code is the below
import pyspark.pandas as ps
from pyspark.sql import SparkSession
spark = SparkSession\
.builder\
.master('local')\
.appName('test')\
.getOrCreate()
from datetime import datetime, date
import pandas as pd
from pyspark.sql import Row
psdf = spark.createDataFrame([
(1, 2., 'string1', date(2000, 1, 1), datetime(2000, 1, 1, 12, 0)),
(2, 3., 'string2', date(2000, 2, 1), datetime(2000, 1, 2, 12, 0)),
(3, 4., 'string3', date(2000, 3, 1), datetime(2000, 1, 3, 12, 0))
], schema='a long, b double, c string, d date, e timestamp')
psdf.show()
and the error message is
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
Input In [7], in <cell line: 1>()
----> 1 psdf.show()
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\pyspark\sql\dataframe.py:494, in DataFrame.show(self, n, truncate, vertical)
491 raise TypeError("Parameter 'vertical' must be a bool")
493 if isinstance(truncate, bool) and truncate:
--> 494 print(self._jdf.showString(n, 20, vertical))
495 else:
496 try:
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\py4j\java_gateway.py:1321, in JavaMember.__call__(self, *args)
1315 command = proto.CALL_COMMAND_NAME +\
1316 self.command_header +\
1317 args_command +\
1318 proto.END_COMMAND_PART
1320 answer = self.gateway_client.send_command(command)
-> 1321 return_value = get_return_value(
1322 answer, self.gateway_client, self.target_id, self.name)
1324 for temp_arg in temp_args:
1325 temp_arg._detach()
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\pyspark\sql\utils.py:111, in capture_sql_exception.<locals>.deco(*a, **kw)
109 def deco(*a, **kw):
110 try:
--> 111 return f(*a, **kw)
112 except py4j.protocol.Py4JJavaError as e:
113 converted = convert_exception(e.java_exception)
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\py4j\protocol.py:326, in get_return_value(answer, gateway_client, target_id, name)
324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
325 if answer[1] == REFERENCE_TYPE:
--> 326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
332 format(target_id, ".", name, value))
Py4JJavaError: An error occurred while calling o43.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0) (XXXX.XXX.co.jp executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:188)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
.......
If you know the solution, would you give me the advice to solve the problem?