使用example项目(https://github.com/allwefantasy/byzer-visualization-example)中的gapminder数据集，或者自己的数据集都会报如下错误TypeError: sort_values() missing 1 required positional argument: 'by'

byzer-lang版本: byzer-lang-all-in-one-linux-amd64-3.1.1-2.3.3
插件版本: byzer-yaml-visualization-3.3_2.12-0.1.0-SNAPSHOT.jar
OS: ubuntu18.04
pip pakcage list:
Package Version

aiohttp 3.8.1
aiohttp-cors 0.7.0
aiosignal 1.2.0
analytics-python 1.4.0
anyio 3.6.1
appnope 0.1.3
asgiref 3.5.2
asttokens 2.0.5
async-timeout 4.0.2
attrs 21.4.0
backcall 0.2.0
backoff 1.10.0
backports.functools-lru-cache 1.6.4
bcrypt 3.2.2
blessed 1.19.1
cachetools 5.0.0
certifi 2021.10.8
cffi 1.15.0
charset-normalizer 2.0.12
click 8.1.2
cloudpickle 2.1.0
colorful 0.5.4
convertdate 2.4.0
cryptography 37.0.3
cycler 0.11.0
dask 2022.2.0
debugpy 1.6.0
decorator 5.1.1
dill 0.3.4
distlib 0.3.4
entrypoints 0.4
executing 0.8.3
fastapi 0.78.0
fastjsonschema 2.15.3
ffmpy 0.3.0
filelock 3.6.0
fonttools 4.33.2
frozenlist 1.3.0
fsspec 2022.5.0
geojson 2.5.0
google-api-core 2.7.2
google-auth 2.6.5
googleapis-common-protos 1.56.0
gpustat 1.0.0b1
gradio 3.0.20
grpcio 1.43.0
h11 0.13.0
idna 3.3
ipykernel 6.13.0
ipython 8.2.0
jedi 0.18.1
Jinja2 3.1.2
joblib 1.1.0
jsonschema 4.4.0
jupyter-client 7.2.2
jupyter-core 4.9.2
kaleido 0.2.1
kiwisolver 1.4.2
linkify-it-py 1.0.3
locket 1.0.0
lunardate 0.2.0
markdown-it-py 2.1.0
MarkupSafe 2.1.1
matplotlib 3.5.1
matplotlib-inline 0.1.3
mdit-py-plugins 0.3.0
mdurl 0.1.1
monotonic 1.6
msgpack 1.0.3
multidict 6.0.2
nbformat 5.4.0
nest-asyncio 1.5.5
numpy 1.22.3
nvidia-ml-py3 7.352.0
opencensus 0.9.0
opencensus-context 0.1.2
orjson 3.7.2
packaging 21.3
pandarallel 1.6.1
pandas 1.4.2
paramiko 2.11.0
parso 0.8.3
partd 1.2.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.1.0
pip 22.0.4
platformdirs 2.5.2
plotly 5.9.0
prometheus-client 0.13.1
prompt-toolkit 3.0.29
protobuf 3.20.0
psutil 5.9.0
ptyprocess 0.7.0
pure-eval 0.2.2
py-spy 0.3.11
pyarrow 7.0.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycparser 2.21
pycryptodome 3.14.1
pydantic 1.9.1
pydub 0.25.1
Pygments 2.11.2
pyjava 0.3.5
pyluach 1.4.1
PyMeeus 0.5.11
PyNaCl 1.5.0
pyparsing 3.0.8
pyrsistent 0.18.1
python-dateutil 2.8.2
python-multipart 0.0.5
pytz 2022.1
PyYAML 6.0
pyzmq 22.3.0
ray 1.12.0
requests 2.27.1
rsa 4.8
scikit-learn 1.1.1
scipy 1.9.0
setuptools 62.1.0
six 1.16.0
sklearn 0.0
smart-open 5.2.1
sniffio 1.2.0
stack-data 0.2.0
starlette 0.19.1
tenacity 8.0.1
threadpoolctl 3.1.0
toolz 0.12.0
tornado 6.1
tqdm 4.64.0
traitlets 5.1.1
typing_extensions 4.2.0
uc-micro-py 1.0.1
urllib3 1.26.9
uvicorn 0.17.6
vega-datasets 0.9.0
virtualenv 20.14.1
wcwidth 0.2.5
wheel 0.37.1
workalendar 16.3.0
yarl 1.7.2

error message:
Job aborted due to stage failure: Task 0 in stage 38.0 failed 1 times, most recent failure: Lost task 0.0 in stage 38.0 (TID 400) (marp-gpu-svr-001.china.huawei.com executor driver): org.apache.spark.SparkException: Traceback (most recent call last):
Job aborted due to stage failure: Task 0 in stage 38.0 failed 1 times, most recent failure: Lost task 0.0 in stage 38.0 (TID 400) (marp-gpu-svr-001.china.huawei.com executor driver): org.apache.spark.SparkException: Traceback (most recent call last):
File "/usr/local/anaconda3/envs/ray-1.12.0/lib/python3.9/site-packages/pyjava/worker.py", line 155, in main
process()
File "/usr/local/anaconda3/envs/ray-1.12.0/lib/python3.9/site-packages/pyjava/worker.py", line 132, in process
exec(code, n_local, n_local)
File "", line 15, in
File "/usr/local/anaconda3/envs/ray-1.12.0/lib/python3.9/site-packages/pandas/util/_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
TypeError: sort_values() missing 1 required positional argument: 'by'
at tech.mlsql.arrow.python.runner.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:324)
at tech.mlsql.arrow.python.runner.ArrowPythonRunner$$anon$2.read(ArrowPythonRunner.scala:154)
at tech.mlsql.arrow.python.runner.ArrowPythonRunner$$anon$2.read(ArrowPythonRunner.scala:151)
at tech.mlsql.arrow.python.runner.ArrowPythonRunner$$anon$2.read(ArrowPythonRunner.scala:102)
at tech.mlsql.arrow.python.runner.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:293)
at tech.mlsql.arrow.python.runner.InterruptibleIterator.hasNext(PythonRunner.scala:415)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:489)