Conda环境导出到yaml文件失败
我已经创建了一个环境，但是当我尝试用Conda环境导出到yaml文件失败,yaml,conda,environment,Yaml,Conda,Environment,我已经创建了一个环境，但是当我尝试用 conda env export --name ENVNAME > ENVNAME.yml 我收到以下错误消息： InvalidVersionSpec: Invalid version '(>=': unable to convert to expression tree: ['('] 在回答FlyingTeller的问题时，以下是conda list给出的内容（很抱歉列表太长）： 我遇到了一个类似的问题：这是因为康达和皮普之间存在一些（永久
conda env export --name ENVNAME > ENVNAME.yml
InvalidVersionSpec: Invalid version '(>=': unable to convert to expression tree: ['(']
conda list我遇到了一个类似的问题：这是因为康达和皮普之间存在一些（永久的）不兼容。在我的例子中，pip包
nb blackpip uninstall nb blackconda env export>environment。ymlconda list# Name Version Build Channel
altair 3.2.0 py38_0
appdirs 1.4.3 pypi_0 pypi
appnope 0.1.0 py38_0
asn1crypto 1.3.0 py38_0
attrs 19.3.0 py_0
backcall 0.1.0 py38_0
black 19.10b0 pypi_0 pypi
blas 1.0 mkl
bleach 3.1.0 py_0
ca-certificates 2020.1.1 0
certifi 2019.11.28 py38_0
cffi 1.14.0 py38hb5b8e2f_0
chardet 3.0.4 py38_1003
click 7.0 pypi_0 pypi
cloudpickle 1.3.0 py_0
cryptography 2.8 py38ha12b0ac_0
cycler 0.10.0 py38_0
decorator 4.4.1 py_0
defusedxml 0.6.0 py_0
entrypoints 0.3 py38_0
et_xmlfile 1.0.1 py38_0
ezc3d 1.2.4 py38hbf1eeb5_0 conda-forge
freetype 2.9.1 hb4e5f40_0
idna 2.8 py38_1000
importlib_metadata 1.5.0 py38_0
intel-openmp 2020.0 166
ipykernel 5.1.4 py38h39e3cac_0
ipython 7.12.0 py38h5ca1d4c_0
ipython-genutils 0.2.0 pypi_0 pypi
ipython_genutils 0.2.0 py38_0
jdcal 1.4.1 py_0
jedi 0.16.0 py38_0
jinja2 2.11.1 py_0
joblib 0.14.1 py_0
jsonschema 3.2.0 py38_0
jupyter_client 5.3.4 py38_0
jupyter_core 4.6.1 py38_0
kiwisolver 1.1.0 py38ha1b3eb9_0 conda-forge
libcxx 9.0.1 1 conda-forge
libedit 3.1.20181209 hb402a30_0
libffi 3.2.1 h475c297_4
libgfortran 3.0.1 h93005f0_2
libpng 1.6.37 ha441bb4_0
libsodium 1.0.16 h3efe00b_0
littleutils 0.2.2 py_0 conda-forge
llvm-openmp 4.0.1 hcfea43d_1
markupsafe 1.1.1 py38h1de35cc_0
matplotlib 3.1.3 py38_0
matplotlib-base 3.1.3 py38h9aa3819_0
mistune 0.8.4 py38h1de35cc_1000
mkl 2019.4 233
mkl-service 2.3.0 py38hfbe908c_0
mkl_fft 1.0.15 py38h5e564d8_0
mkl_random 1.1.0 py38h6440ff4_0
more-itertools 8.2.0 py_0
mpmath 1.1.0 py38_0
nb-black 1.0.7 pypi_0 pypi
nb_conda_kernels 2.2.2 py38_0 conda-forge
nbconvert 5.6.1 py38_0
nbformat 5.0.4 py_0
ncurses 6.1 h0a44026_1
notebook 6.0.3 py38_0
numpy 1.18.1 py38h7241aed_0
numpy-base 1.18.1 py38h6575580_1
openpyxl 3.0.3 py_0
openssl 1.1.1d h1de35cc_4
outdated 0.2.0 py_0 conda-forge
pandas 1.0.1 py38h6c726b0_0
pandas-flavor 0.2.0 py_0 conda-forge
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py38_1
parso 0.6.1 py_0
pathspec 0.7.0 pypi_0 pypi
patsy 0.5.1 py38_0
peakutils 1.3.2 py_0 conda-forge
pexpect 4.8.0 py38_0
pickleshare 0.7.5 py38_1000
pingouin 0.3.2 py_0 conda-forge
pip 20.0.2 py38_1
prometheus_client 0.7.1 py_0
prompt_toolkit 3.0.3 py_0
ptyprocess 0.6.0 py38_0
pycparser 2.19 py_0
pygments 2.5.2 py_0
pyopenssl 19.1.0 py38_0
pyparsing 2.4.6 py_0
pyrsistent 0.15.7 py38h1de35cc_0
pysocks 1.7.1 py38_0
python 3.8.1 h359304d_1
python-dateutil 2.8.1 py_0
pytz 2019.3 py_0
pyzmq 18.1.1 py38h0a44026_0
readline 7.0 h1de35cc_5
regex 2020.1.8 pypi_0 pypi
requests 2.22.0 py38_1
scikit-learn 0.22.1 py38h27c97d8_0
scipy 1.4.1 py38h44e99c9_0
seaborn 0.10.0 py_0
send2trash 1.5.0 py38_0
setuptools 45.2.0 py38_0
six 1.14.0 py38_0
spyder-kernels 1.8.1 py38_0
sqlite 3.31.1 ha441bb4_0
statsmodels 0.11.0 py38h1de35cc_0
terminado 0.8.3 py38_0
testpath 0.4.4 py_0
tk 8.6.8 ha441bb4_0
toml 0.10.0 pypi_0 pypi
toolz 0.10.0 py_0
tornado 6.0.3 py38h1de35cc_3
traitlets 4.3.3 py38_0
typed-ast 1.4.1 pypi_0 pypi
urllib3 1.25.8 py38_0
wcwidth 0.1.8 py_0
webencodings 0.5.1 py38_1
wheel 0.34.2 py38_0
wurlitzer 2.0.0 py38_0
xarray 0.15.0 py_0
xlrd 1.2.0 py_0
xlwt 1.3.0 py38_0
xz 5.2.4 h1de35cc_4
zeromq 4.3.1 h0a44026_3
zipp 2.2.0 py_0
zlib 1.2.11 h1de35cc_3