"ImportError: No module named seaborn" in Azure ML
"ImportError: No module named seaborn" in Azure ML
在 Azure ML 中创建了一个新的计算实例并训练了一个没有任何问题的模型。我想使用 seaborn 绘制配对图，但我一直收到错误 "ImportError: No module named seaborn"
我运行!conda list我可以在列表中看到seaborn
# packages in environment at /anaconda:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.6 py37_0
anaconda-project 0.8.2 py37_0
applicationinsights 0.11.9 <pip>
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37h7b6447c_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37h14c3975_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 hdbcaa40_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.6 h14c3975_5
ca-certificates 2020.7.22 0 anaconda
cairo 1.14.12 h8948797_3
certifi 2020.6.20 py37_0 anaconda
cffi 1.11.5 py37he75722e_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda 4.5.12 py37_0
conda-build 3.17.6 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h1ba5d50_0
curl 7.63.0 hbc83047_1000
cycler 0.10.0 py37_0 anaconda
cython 0.29.2 py37he6710b0_0
cytoolz 0.9.0.1 py37h14c3975_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
dbus 1.13.12 h746ee38_0 anaconda
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
expat 2.2.9 he6710b0_2 anaconda
fastcache 1.0.2 py37h14c3975_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
fontconfig 2.13.0 h9420a91_0 anaconda
freetype 2.10.2 h5ab3b9f_0 anaconda
fribidi 1.0.5 h7b6447c_0
future 0.17.1 py37_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.7 py37h7b6447c_1
glib 2.56.2 hd408876_0 anaconda
glob2 0.6 py37_1
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.12 h23475e2_2
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1 anaconda
gstreamer 1.14.0 hb453b48_1 anaconda
h5py 2.8.0 py37h989c5e5_3
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.2 hba1933b_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icu 58.2 he6710b0_3 anaconda
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jeepney 0.4 py37_0
jinja2 2.10 py37_0
jpeg 9b habf39ab_1 anaconda
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
keyring 17.0.0 py37_0
kiwisolver 1.2.0 py37hfd86e86_0 anaconda
krb5 1.16.1 h173b8e3_7
lazy-object-proxy 1.3.1 py37h14c3975_2
lcms2 2.11 h396b838_0 anaconda
ld_impl_linux-64 2.33.1 h53a641e_7 anaconda
libarchive 3.3.3 h5d8350f_5
libcurl 7.63.0 h20c2e04_1000
libedit 3.1.20191231 h14c3975_1 anaconda
libffi 3.3 he6710b0_2 anaconda
libgcc-ng 9.1.0 hdf63c60_0 anaconda
libgfortran-ng 7.3.0 hdf63c60_0
liblief 0.9.0 h7725739_1
libpng 1.6.37 hbc83047_0 anaconda
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h1ba5d50_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.1.0 h2733197_1 anaconda
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2 anaconda
libxcb 1.14 h7b6447c_0 anaconda
libxml2 2.9.10 he19cac6_1 anaconda
libxslt 1.1.32 h1312cb7_0
llvmlite 0.26.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hefd8a0e_0
lz4-c 1.9.2 he6710b0_1 anaconda
lzo 2.10 h49e0be7_2
markupsafe 1.1.0 py37h7b6447c_0
matplotlib 3.3.1 0 anaconda
matplotlib-base 3.3.1 py37h817c723_0 anaconda
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h7b6447c_0
mkl 2019.1 144
mkl-service 1.1.2 py37he904b0f_5
mkl_fft 1.0.10 py37ha843d7b_0 anaconda
mkl_random 1.0.2 py37hd81dba3_0 anaconda
more-itertools 4.3.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37h6bb024c_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
ncurses 6.2 he6710b0_1 anaconda
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37h962f231_0
numexpr 2.6.8 py37h9e4a6bb_0
numpy 1.16.2 py37h7e9f1db_0 anaconda
numpy-base 1.16.2 py37hde5b4d6_0 anaconda
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py_0 anaconda
openpyxl 2.5.12 py37_0
openssl 1.1.1g h7b6447c_0 anaconda
packaging 18.0 py37_0
pandas 1.1.1 py37he6710b0_0 anaconda
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py37_1
pango 1.42.4 h049681c_0
parso 0.3.1 py37_0
partd 0.3.9 py37_0
patchelf 0.9 he6710b0_3
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pcre 8.44 he6710b0_0 anaconda
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.5 py37_0
pillow 7.2.0 py37hb39fc2d_0 anaconda
pip 20.2.2 py37_0 anaconda
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
prometheus_client 0.5.0 py37_0
prompt_toolkit 2.0.7 py37_0
psutil 5.4.8 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.7.0 py37_0
py-lief 0.9.0 py37h7725739_1
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.2 py37h1ba5d50_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37he6710b0_0
pyopenssl 18.0.0 py37_0
pyparsing 2.4.7 py_0 anaconda
pyqt 5.9.2 py37h22d08a2_1 anaconda
pysocks 1.6.8 py37_0
pytables 3.4.4 py37ha205bf6_0
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.9 h7579374_0 anaconda
python-dateutil 2.8.1 py_0 anaconda
python-libarchive-c 2.8 py37_6
pytz 2020.1 py_0 anaconda
pywavelets 1.0.1 py37hdd07704_0
pyyaml 3.13 py37h14c3975_0
pyzmq 17.1.2 py37h14c3975_0
qt 5.9.7 h5867ecd_1 anaconda
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
readline 8.0 h7b6447c_0 anaconda
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.14.1 py37he6710b0_0
scikit-learn 0.20.1 py37hd81dba3_0
scipy 1.2.1 py37h7c811a0_0 anaconda
seaborn 0.10.1 py_0 anaconda
secretstorage 3.1.0 py37_0
send2trash 1.5.0 py37_0
setuptools 49.6.0 py37_0 anaconda
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.24 py37he6710b0_0 anaconda
six 1.15.0 py_0 anaconda
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37h7b6447c_0
sqlite 3.33.0 h62c20be_0 anaconda
statsmodels 0.9.0 py37h035aef0_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.10 hbc83047_0 anaconda
toolz 0.9.0 py37_0
tornado 6.0.4 py37h7b6447c_1 anaconda
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.24.1 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.35.1 py_0 anaconda
widgetsnbextension 3.4.2 py37_0
wrapt 1.10.11 py37h14c3975_2
wurlitzer 1.0.2 py37_0
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwt 1.3.0 py37_0
xz 5.2.5 h7b6447c_0 anaconda
yaml 0.1.7 had09818_2
zeromq 4.2.5 hf484d3e_1
zict 0.1.3 py37_0
zlib 1.2.11 h7b6447c_3 anaconda
zstd 1.4.4 h0b5b093_3 anaconda
我刚刚执行了以下操作，但无法重现您的错误：
- 创建一个新的计算实例
- 使用 JupyterLab 打开它
- 打开一个新终端
conda activate azureml_py36conda install seaborn -y- 打开一个新笔记本然后运行
import seaborn as sns
随地吐痰
- 您是否在使用内核
Python 3.6 - AzureML（即 azureml_py36 conda env）？
- 您是否尝试过重新启动内核and/or 创建一个新的计算实例？
在 Azure ML 中创建了一个新的计算实例并训练了一个没有任何问题的模型。我想使用 seaborn 绘制配对图，但我一直收到错误 "ImportError: No module named seaborn"
我运行!conda list我可以在列表中看到seaborn
# packages in environment at /anaconda:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.6 py37_0
anaconda-project 0.8.2 py37_0
applicationinsights 0.11.9 <pip>
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37h7b6447c_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37h14c3975_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 hdbcaa40_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.6 h14c3975_5
ca-certificates 2020.7.22 0 anaconda
cairo 1.14.12 h8948797_3
certifi 2020.6.20 py37_0 anaconda
cffi 1.11.5 py37he75722e_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda 4.5.12 py37_0
conda-build 3.17.6 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h1ba5d50_0
curl 7.63.0 hbc83047_1000
cycler 0.10.0 py37_0 anaconda
cython 0.29.2 py37he6710b0_0
cytoolz 0.9.0.1 py37h14c3975_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
dbus 1.13.12 h746ee38_0 anaconda
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
expat 2.2.9 he6710b0_2 anaconda
fastcache 1.0.2 py37h14c3975_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
fontconfig 2.13.0 h9420a91_0 anaconda
freetype 2.10.2 h5ab3b9f_0 anaconda
fribidi 1.0.5 h7b6447c_0
future 0.17.1 py37_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.7 py37h7b6447c_1
glib 2.56.2 hd408876_0 anaconda
glob2 0.6 py37_1
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.12 h23475e2_2
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1 anaconda
gstreamer 1.14.0 hb453b48_1 anaconda
h5py 2.8.0 py37h989c5e5_3
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.2 hba1933b_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icu 58.2 he6710b0_3 anaconda
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jeepney 0.4 py37_0
jinja2 2.10 py37_0
jpeg 9b habf39ab_1 anaconda
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
keyring 17.0.0 py37_0
kiwisolver 1.2.0 py37hfd86e86_0 anaconda
krb5 1.16.1 h173b8e3_7
lazy-object-proxy 1.3.1 py37h14c3975_2
lcms2 2.11 h396b838_0 anaconda
ld_impl_linux-64 2.33.1 h53a641e_7 anaconda
libarchive 3.3.3 h5d8350f_5
libcurl 7.63.0 h20c2e04_1000
libedit 3.1.20191231 h14c3975_1 anaconda
libffi 3.3 he6710b0_2 anaconda
libgcc-ng 9.1.0 hdf63c60_0 anaconda
libgfortran-ng 7.3.0 hdf63c60_0
liblief 0.9.0 h7725739_1
libpng 1.6.37 hbc83047_0 anaconda
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h1ba5d50_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.1.0 h2733197_1 anaconda
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2 anaconda
libxcb 1.14 h7b6447c_0 anaconda
libxml2 2.9.10 he19cac6_1 anaconda
libxslt 1.1.32 h1312cb7_0
llvmlite 0.26.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hefd8a0e_0
lz4-c 1.9.2 he6710b0_1 anaconda
lzo 2.10 h49e0be7_2
markupsafe 1.1.0 py37h7b6447c_0
matplotlib 3.3.1 0 anaconda
matplotlib-base 3.3.1 py37h817c723_0 anaconda
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h7b6447c_0
mkl 2019.1 144
mkl-service 1.1.2 py37he904b0f_5
mkl_fft 1.0.10 py37ha843d7b_0 anaconda
mkl_random 1.0.2 py37hd81dba3_0 anaconda
more-itertools 4.3.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37h6bb024c_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
ncurses 6.2 he6710b0_1 anaconda
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37h962f231_0
numexpr 2.6.8 py37h9e4a6bb_0
numpy 1.16.2 py37h7e9f1db_0 anaconda
numpy-base 1.16.2 py37hde5b4d6_0 anaconda
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py_0 anaconda
openpyxl 2.5.12 py37_0
openssl 1.1.1g h7b6447c_0 anaconda
packaging 18.0 py37_0
pandas 1.1.1 py37he6710b0_0 anaconda
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py37_1
pango 1.42.4 h049681c_0
parso 0.3.1 py37_0
partd 0.3.9 py37_0
patchelf 0.9 he6710b0_3
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pcre 8.44 he6710b0_0 anaconda
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.5 py37_0
pillow 7.2.0 py37hb39fc2d_0 anaconda
pip 20.2.2 py37_0 anaconda
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
prometheus_client 0.5.0 py37_0
prompt_toolkit 2.0.7 py37_0
psutil 5.4.8 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.7.0 py37_0
py-lief 0.9.0 py37h7725739_1
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.2 py37h1ba5d50_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37he6710b0_0
pyopenssl 18.0.0 py37_0
pyparsing 2.4.7 py_0 anaconda
pyqt 5.9.2 py37h22d08a2_1 anaconda
pysocks 1.6.8 py37_0
pytables 3.4.4 py37ha205bf6_0
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.9 h7579374_0 anaconda
python-dateutil 2.8.1 py_0 anaconda
python-libarchive-c 2.8 py37_6
pytz 2020.1 py_0 anaconda
pywavelets 1.0.1 py37hdd07704_0
pyyaml 3.13 py37h14c3975_0
pyzmq 17.1.2 py37h14c3975_0
qt 5.9.7 h5867ecd_1 anaconda
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
readline 8.0 h7b6447c_0 anaconda
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.14.1 py37he6710b0_0
scikit-learn 0.20.1 py37hd81dba3_0
scipy 1.2.1 py37h7c811a0_0 anaconda
seaborn 0.10.1 py_0 anaconda
secretstorage 3.1.0 py37_0
send2trash 1.5.0 py37_0
setuptools 49.6.0 py37_0 anaconda
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.24 py37he6710b0_0 anaconda
six 1.15.0 py_0 anaconda
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37h7b6447c_0
sqlite 3.33.0 h62c20be_0 anaconda
statsmodels 0.9.0 py37h035aef0_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.10 hbc83047_0 anaconda
toolz 0.9.0 py37_0
tornado 6.0.4 py37h7b6447c_1 anaconda
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.24.1 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.35.1 py_0 anaconda
widgetsnbextension 3.4.2 py37_0
wrapt 1.10.11 py37h14c3975_2
wurlitzer 1.0.2 py37_0
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwt 1.3.0 py37_0
xz 5.2.5 h7b6447c_0 anaconda
yaml 0.1.7 had09818_2
zeromq 4.2.5 hf484d3e_1
zict 0.1.3 py37_0
zlib 1.2.11 h7b6447c_3 anaconda
zstd 1.4.4 h0b5b093_3 anaconda
我刚刚执行了以下操作，但无法重现您的错误：
- 创建一个新的计算实例
- 使用 JupyterLab 打开它
- 打开一个新终端
conda activate azureml_py36conda install seaborn -y- 打开一个新笔记本然后运行
import seaborn as sns
随地吐痰
- 您是否在使用内核
Python 3.6 - AzureML（即azureml_py36conda env）？ - 您是否尝试过重新启动内核and/or 创建一个新的计算实例？