Я только что запустил conda remove pandas и получил этот огромный список пакетов, которые были удалены.
Следующие пакеты будут УДАЛЕНЫ:
_anaconda_depends-2020.07-py37_0
alabaster-0.7.12-py37_0
anaconda-custom-py37_1
anaconda-client-1.7.2-py37_0
anaconda-project-0.8.4-py_0
argh-0.26.2-py37_0
asn1crypto-1.4.0-py_0
astroid-2.4.2-py37_0
astropy-4.0.1.post1-py37he774522_1
atomicwrites-1.4.0-py_0
autopep8-1.5.4-py_0
babel-2.8.0-py_0
backports-1.0-py_2
backports.shutil_get_terminal_size-1.0.0-py37_2
bcrypt-3.1.7-py37he774522_1
beautifulsoup4-4.9.1-py37_0
bitarray-1.4.2-py37he774522_0
bkcharts-0.2-py37_0
blas-1.0-mkl
blosc-1.19.0-h7bd577a_0
bokeh-2.1.1-py37_0
boto-2.49.0-py37_0
bottleneck-1.3.2-py37h2a96729_1
brotlipy-0.7.0-py37he774522_1000
bzip2-1.0.8-he774522_0
cffi-1.14.0-py37h7a1dbc1_0
cftime-1.2.1-py37h2a96729_0
chardet-3.0.4-py37_1003
cloudpickle-1.5.0-py_0
clyent-1.2.2-py37_1
colorcet-2.0.2-py_0
comtypes-1.1.7-py37_1001
contextlib2-0.6.0.post1-py_0
cryptography-2.9.2-py37h7a1dbc1_0
curl-7.71.1-h2a8f88b_1
cycler-0.10.0-py37_0
cython-0.29.21-py37ha925a31_0
cytoolz-0.10.1-py37he774522_0
dask-2.20.0-py_0
dask-core-2.20.0-py_0
datashader-0.11.0-py_0
datashape-0.5.4-py37_1
diff-match-patch-20200713-py_0
distributed-2.20.0-py37_0
docutils-0.16-py37_1
et_xmlfile-1.0.1-py_1001
fastcache-1.1.0-py37he774522_0
fastparquet-0.3.2-py37h2a96729_0
filelock-3.0.12-py_0
flake8-3.8.3-py_0
flask-1.1.2-py_0
freetype-2.10.2-hd328e21_0
fsspec-0.7.4-py_0
future-0.18.2-py37_1
get_terminal_size-1.0.0-h38e98db_0
gevent-20.6.2-py37he774522_0
glob2-0.7-py_0
gmpy2-2.0.8-py37h0964b28_3
greenlet-0.4.16-py37he774522_0
h5py-2.10.0-py37h5e291fa_0
hdf4-4.2.13-h712560f_2
hdf5-1.10.4-h7ebc959_0
heapdict-1.0.1-py_0
holoviews-1.13.3-py_0
holoviz-0.11.3-py_0
html5lib-1.1-py_0
hvplot-0.6.0-py_1
icc_rt-2019.0.0-h0cc432a_1
icu-58.2-ha925a31_3
idna-2.10-py_0
imageio-2.9.0-py_0
imagesize-1.2.0-py_0
intel-openmp-2020.1-216
intervaltree-3.0.2-py_1
isort-4.3.21-py37_0
itsdangerous-1.1.0-py37_0
jdcal-1.4.1-py_0
joblib-0.16.0-py_0
jpeg-9b-hb83a4c4_2
json5-0.9.5-py_0
jupyter-1.0.0-py37_7
jupyter_console-6.1.0-py_0
jupyterlab-2.1.5-py_0
jupyterlab_server-1.2.0-py_0
keyring-21.2.1-py37_0
kiwisolver-1.2.0-py37h74a9793_0
krb5-1.18.2-hc04afaa_0
lazy-object-proxy-1.4.3-py37he774522_0
libarchive-3.4.2-h5e25573_0
libcurl-7.71.1-h2a8f88b_1
libiconv-1.15-h1df5818_7
liblief-0.10.1-ha925a31_0
libllvm9-9.0.1-h21ff451_0
libnetcdf-4.7.3-h1302dcc_0
libpng-1.6.37-h2a8f88b_0
libspatialindex-1.9.3-h33f27b4_0
libssh2-1.9.0-h7a1dbc1_1
libtiff-4.1.0-h56a325e_1
libxml2-2.9.10-h464c3ec_1
libxslt-1.1.34-he774522_0
llvmlite-0.30.0-py37ha925a31_0
locket-0.2.0-py37_1
lxml-4.5.2-py37h1350720_0
lz4-c-1.9.2-h62dcd97_1
lzo-2.10-he774522_2
markdown-3.1.1-py37_0
matplotlib-3.0.3-py37hc8f65d3_0
matplotlib-base-3.2.2-py37h64f37c6_0
mccabe-0.6.1-py37_1
menuinst-1.4.16-py37he774522_1
mkl-2020.1-216
mkl-service-2.3.0-py37hb782905_0
mkl_fft-1.1.0-py37h45dec08_0
mkl_random-1.1.1-py37h47e9c7a_0
mock-4.0.2-py_0
more-itertools-8.4.0-py_0
mpc-1.1.0-h7edee0f_1
mpfr-4.0.2-h62dcd97_1
mpir-3.0.0-hec2e145_1
mpmath-1.1.0-py37_0
msgpack-python-1.0.0-py37h74a9793_1
multipledispatch-0.6.0-py37_0
netcdf4-1.5.3-py37h012c1a0_0
networkx-2.4-py_1
nltk-3.5-py_0
nose-1.3.7-py37_1004
numba-0.46.0-py37hf9181ef_0
numexpr-2.7.1-py37h25d0782_0
numpy-1.19.1-py37h5510c5b_0
numpy-base-1.19.1-py37ha3acd2a_0
numpydoc-1.1.0-py_0
olefile-0.46-py37_0
openpyxl-3.0.4-py_0
pandas-0.24.2-py37he350917_1
panel-0.9.7-py_0
param-1.9.3-py_0
paramiko-2.7.1-py_0
partd-1.1.0-py_0
path-14.0.1-py37_0
path.py-12.0.2-py_0
pathlib2-2.3.5-py37_1
pathtools-0.1.2-py_1
patsy-0.5.1-py37_0
pep8-1.7.1-py37_0
pexpect-4.8.0-py37_1
phantomjs-2.1.1-1
pillow-7.2.0-py37hcc1f983_0
pkginfo-1.5.0.1-py37_0
pluggy-0.13.1-py37_0
ply-3.11-py37_0
prompt_toolkit-3.0.5-0
psutil-5.7.0-py37he774522_0
py-1.9.0-py_0
py-lief-0.10.1-py37ha925a31_0
pycodestyle-2.6.0-py_0
pycosat-0.6.3-py37he774522_0
pycparser-2.20-py_2
pycrypto-2.6.1-py37he774522_10
pyct-0.4.6-py37_0
pycurl-7.43.0.5-py37h7a1dbc1_0
pydocstyle-5.0.2-py_0
pyflakes-2.2.0-py_0
pylint-2.5.3-py37_0
pynacl-1.4.0-py37h62dcd97_1
pyodbc-4.0.30-py37ha925a31_0
pyopenssl-19.1.0-py_1
pyqt-5.9.2-py37h6538335_2
pyreadline-2.1-py37_1
pysocks-1.7.1-py37_1
pytables-3.6.1-py37h1da0976_0
pytest-5.4.3-py37_0
python-jsonrpc-server-0.3.4-py_1
python-language-server-0.34.1-py37_0
python-libarchive-c-2.9-py_0
python-snappy-0.5.4-py37ha925a31_0
pyviz_comms-0.7.6-py_0
pywavelets-1.1.1-py37he774522_0
pywin32-ctypes-0.2.0-py37_1001
pyyaml-5.3.1-py37he774522_1
qdarkstyle-2.8.1-py_0
qt-5.9.7-vc14h73c81de_0
qtawesome-0.7.2-py_0
qtconsole-4.7.5-py_0
qtpy-1.9.0-py_0
regex-2020.6.8-py37he774522_0
requests-2.24.0-py_0
rope-0.17.0-py_0
rtree-0.9.4-py37h21ff451_1
ruamel_yaml-0.15.87-py37he774522_1
scikit-image-0.16.2-py37h47e9c7a_0
scikit-learn-0.23.1-py37h25d0782_0
scipy-1.5.0-py37h9439919_0
seaborn-0.10.1-py_0
selenium-3.141.0-py37hfa6e2cd_1001
simplegeneric-0.8.1-py37_2
singledispatch-3.4.0.3-py37_0
sip-4.19.8-py37h6538335_0
snappy-1.1.8-h33f27b4_0
snowballstemmer-2.0.0-py_0
sortedcollections-1.2.1-py_0
sortedcontainers-2.2.2-py_0
soupsieve-2.0.1-py_0
sphinx-3.1.2-py_0
sphinxcontrib-1.0-py37_1
sphinxcontrib-applehelp-1.0.2-py_0
sphinxcontrib-devhelp-1.0.2-py_0
sphinxcontrib-htmlhelp-1.0.3-py_0
sphinxcontrib-jsmath-1.0.1-py_0
sphinxcontrib-qthelp-1.0.3-py_0
sphinxcontrib-serializinghtml-1.1.4-py_0
sphinxcontrib-websupport-1.2.3-py_0
spyder-4.1.4-py37_0
spyder-kernels-1.9.2-py37_0
sqlalchemy-1.3.18-py37he774522_0
statsmodels-0.11.1-py37he774522_0
streamz-0.5.4-py_0
sympy-1.6.1-py37_0
tbb-2020.0-h74a9793_0
tblib-1.6.0-py_0
threadpoolctl-2.1.0-pyh5ca1d4c_0
thrift-0.13.0-py37ha925a31_0
tk-8.6.10-he774522_0
toml-0.10.1-py_0
toolz-0.10.0-py_0
tqdm-4.47.0-py_0
typed-ast-1.4.1-py37he774522_0
typing_extensions-3.7.4.2-py_0
ujson-1.35-py37hfa6e2cd_0
unicodecsv-0.14.1-py37_0
urllib3-1.25.9-py_0
watchdog-0.10.3-py37_0
werkzeug-1.0.1-py_0
win_inet_pton-1.1.0-py37_0
win_unicode_console-0.5-py37_0
wrapt-1.11.2-py37he774522_0
xarray-0.11.3-py37_0
xlrd-1.2.0-py37_0
xlsxwriter-1.2.9-py_0
xlwings-0.19.5-py37_0
xlwt-1.3.0-py37_0
xz-5.2.5-h62dcd97_0
yaml-0.2.5-he774522_0
yapf-0.30.0-py_0
zict-2.0.0-py_0
zope-1.0-py37_1
zope.event-4.4-py37_0
zope.interface-4.7.1-py37he774522_0
zstd-1.4.5-h04227a9_0
Когда я выполню conda install pandas, у меня крошечный список пакетов ... например, он не переустанавливал xlsxwriter, что, возможно, предполагал, что ему нужно записывать файлы Excel. Почему это так и как мне вернуть все эти пакеты с помощью установки pandas?
Это то, что было добавлено обратно при установке conda pandas.
The following NEW packages will be INSTALLED:
blas pkgs/main/win-64::blas-1.0-mkl
intel-openmp pkgs/main/win-64::intel-openmp-2020.1-216
mkl pkgs/main/win-64::mkl-2020.1-216
mkl-service pkgs/main/win-64::mkl-service-2.3.0-py37hb782905_0
mkl_fft pkgs/main/win-64::mkl_fft-1.1.0-py37h45dec08_0
mkl_random pkgs/main/win-64::mkl_random-1.1.1-py37h47e9c7a_0
numpy pkgs/main/win-64::numpy-1.19.1-py37h5510c5b_0
numpy-base pkgs/main/win-64::numpy-base-1.19.1-py37ha3acd2a_0
pandas pkgs/main/win-64::pandas-1.0.5-py37h47e9c7a_0