当库导入通过Anaconda明确存在时，为什么python不断地对库导入说“ModuleNotFoundError”？

PS C:\Users\mghaf\Documents\GitHub\Modelling-Cell-Growth-in-CFU> & C:/Users/mghaf/Anaconda3/envs/rstudio/python.exe c:/Users/mghaf/Documents/GitHub/Modelling-Cell-Growth-in-CFU/test.py Traceback (most recent call last): File "c:/Users/mghaf/Documents/GitHub/Modelling-Cell-Growth-in-CFU/test.py", line 1, in <module> import matplotlib as plt ModuleNotFoundError: No module named 'matplotlib'

PS C:\Users\mghaf\Documents\GitHub\Modelling-Cell-Growth-in-CFU> & C:/Users/mghaf/Anaconda3/envs/rstudio/python.exe c:/Users/mghaf/Documents/GitHub/Modelling-Cell-Growth-in-CFU/test.py Traceback (most recent call last): File "c:/Users/mghaf/Documents/GitHub/Modelling-Cell-Growth-in-CFU/test.py", line 2, in <module> import pandas as pd ModuleNotFoundError: No module named 'pandas'

# packages in environment at C:\Users\mghaf\Anaconda3: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py38_0 alabaster 0.7.12 py_0 anaconda 2020.11 py38_0 anaconda-client 1.7.2 py38_0 anaconda-navigator 2.0.4 py38_0 anaconda-project 0.8.4 py_0 argh 0.26.2 py38_0 argon2-cffi 20.1.0 py38he774522_1 asn1crypto 1.4.0 py_0 astroid 2.4.2 py38_0 astropy 4.0.2 py38he774522_0 async_generator 1.10 py_0 atomicwrites 1.4.0 py_0 attrs 20.3.0 pyhd3eb1b0_0 autopep8 1.5.4 py_0 babel 2.8.1 pyhd3eb1b0_0 backcall 0.2.0 py_0 backports 1.0 py_2 backports.functools_lru_cache 1.6.1 py_0 backports.shutil_get_terminal_size 1.0.0 py38_2 backports.tempfile 1.0 py_1 backports.weakref 1.0.post1 py_1 bcrypt 3.2.0 py38he774522_0 beautifulsoup4 4.9.3 pyhb0f4dca_0 bitarray 1.6.1 py38h2bbff1b_0 bkcharts 0.2 py38_0 blas 1.0 mkl bleach 3.2.1 py_0 blosc 1.20.1 h7bd577a_0 bokeh 2.2.3 py38_0 boto 2.49.0 py38_0 bottleneck 1.3.2 py38h2a96729_1 brotlipy 0.7.0 py38he774522_1000 bzip2 1.0.8 he774522_0 ca-certificates 2020.10.14 0 certifi 2020.6.20 pyhd3eb1b0_3 cffi 1.14.3 py38h7a1dbc1_0 chardet 3.0.4 py38_1003 click 7.1.2 py_0 cloudpickle 1.6.0 py_0 clyent 1.2.2 py38_1 colorama 0.4.4 py_0 comtypes 1.1.7 py38_1001 conda 4.10.3 py38haa95532_0 conda-build 3.20.5 py38_1 conda-content-trust 0.1.1 pyhd3eb1b0_0 conda-env 2.6.0 1 conda-package-handling 1.7.2 py38h76e460a_0 conda-repo-cli 1.0.4 pyhd3eb1b0_0 conda-token 0.3.0 pyhd3eb1b0_0 conda-verify 3.4.2 py_1 console_shortcut 0.1.1 4 contextlib2 0.6.0.post1 py_0 cryptography 3.1.1 py38h7a1dbc1_0 curl 7.71.1 h2a8f88b_1 cycler 0.10.0 py38_0 cython 0.29.21 py38ha925a31_0 cytoolz 0.11.0 py38he774522_0 dask 2.30.0 py_0 dask-core 2.30.0 py_0 decorator 4.4.2 py_0 defusedxml 0.6.0 py_0 diff-match-patch 20200713 py_0 distributed 2.30.1 py38haa95532_0 docutils 0.16 py38_1 entrypoints 0.3 py38_0 et_xmlfile 1.0.1 py_1001 fastcache 1.1.0 py38he774522_0 filelock 3.0.12 py_0 flake8 3.8.4 py_0 flask 1.1.2 py_0 freetype 2.10.4 hd328e21_0 fsspec 0.8.3 py_0 future 0.18.2 py38_1 get_terminal_size 1.0.0 h38e98db_0 gevent 20.9.0 py38he774522_0 glob2 0.7 py_0 greenlet 0.4.17 py38he774522_0 h5py 2.10.0 py38h5e291fa_0 hdf5 1.10.4 h7ebc959_0 heapdict 1.0.1 py_0 html5lib 1.1 py_0 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 importlib-metadata 2.0.0 py_1 importlib_metadata 2.0.0 1 iniconfig 1.1.1 py_0 intel-openmp 2020.2 254 intervaltree 3.1.0 py_0 ipykernel 5.3.4 py38h5ca1d4c_0 ipython 7.19.0 py38hd4e2768_0 ipython_genutils 0.2.0 py38_0 ipywidgets 7.5.1 py_1 isort 5.6.4 py_0 itsdangerous 1.1.0 py_0 jdcal 1.4.1 py_0 jedi 0.17.1 py38_0 jinja2 2.11.2 py_0 joblib 0.17.0 py_0 jpeg 9b hb83a4c4_2 json5 0.9.5 py_0 jsonschema 3.2.0 py_2 jupyter 1.0.0 py38_7 jupyter_client 6.1.7 py_0 jupyter_console 6.2.0 py_0 jupyter_core 4.6.3 py38_0 jupyterlab 2.2.6 py_0 jupyterlab_pygments 0.1.2 py_0 jupyterlab_server 1.2.0 py_0 keyring 21.4.0 py38_1 kiwisolver 1.3.0 py38hd77b12b_0 krb5 1.18.2 hc04afaa_0 lazy-object-proxy 1.4.3 py38he774522_0 libarchive 3.4.2 h5e25573_0 libcurl 7.71.1 h2a8f88b_1 libiconv 1.15 h1df5818_7 liblief 0.10.1 ha925a31_0 libpng 1.6.37 h2a8f88b_0 libsodium 1.0.18 h62dcd97_0 libspatialindex 1.9.3 h33f27b4_0 libssh2 1.9.0 h7a1dbc1_1 libtiff 4.1.0 h56a325e_1 libxml2 2.9.10 hb89e7f3_3 libxslt 1.1.34 he774522_0 llvmlite 0.34.0 py38h1a82afc_4 locket 0.2.0 py38_1 lxml 4.6.1 py38h1350720_0 lz4-c 1.9.2 hf4a77e7_3 lzo 2.10 he774522_2 m2w64-gcc-libgfortran 5.3.0 6 m2w64-gcc-libs 5.3.0 7 m2w64-gcc-libs-core 5.3.0 7 m2w64-gmp 6.1.0 2 m2w64-libwinpthread-git 5.0.0.4634.697f757 2 markupsafe 1.1.1 py38he774522_0 matplotlib 3.3.2 0 matplotlib-base 3.3.2 py38hba9282a_0 mccabe 0.6.1 py38_1 menuinst 1.4.16 py38he774522_1 mistune 0.8.4 py38he774522_1000 mkl 2020.2 256 mkl-service 2.3.0 py38hb782905_0 mkl_fft 1.2.0 py38h45dec08_0 mkl_random 1.1.1 py38h47e9c7a_0 mock 4.0.2 py_0 more-itertools 8.6.0 pyhd3eb1b0_0 mpmath 1.1.0 py38_0 msgpack-python 1.0.0 py38h74a9793_1 msys2-conda-epoch 20160418 1 multipledispatch 0.6.0 py38_0 navigator-updater 0.2.1 py38_0 nbclient 0.5.1 py_0 nbconvert 6.0.7 py38_0 nbformat 5.0.8 py_0 nest-asyncio 1.4.2 pyhd3eb1b0_0 networkx 2.5 py_0 nltk 3.5 py_0 nose 1.3.7 py38_2 notebook 6.1.4 py38_0 numba 0.51.2 py38hf9181ef_1 numexpr 2.7.1 py38h25d0782_0 numpy 1.19.2 py38hadc3359_0 numpy-base 1.19.2 py38ha3acd2a_0 numpydoc 1.1.0 pyhd3eb1b0_1 olefile 0.46 py_0 openpyxl 3.0.5 py_0 openssl 1.1.1h he774522_0 packaging 20.4 py_0 pandas 1.1.3 py38ha925a31_0 pandoc 2.11 h9490d1a_0 pandocfilters 1.4.3 py38haa95532_1 paramiko 2.7.2 py_0 parso 0.7.0 py_0 partd 1.1.0 py_0 path 15.0.0 py38_0 path.py 12.5.0 0 pathlib2 2.3.5 py38_0 pathtools 0.1.2 py_1 patsy 0.5.1 py38_0 pep8 1.7.1 py38_0 pexpect 4.8.0 py38_0 pickleshare 0.7.5 py38_1000 pillow 8.0.1 py38h4fa10fc_0 pip 20.2.4 py38haa95532_0 pkginfo 1.6.1 py38haa95532_0 pluggy 0.13.1 py38_0 ply 3.11 py38_0 powershell_shortcut 0.0.1 3 prometheus_client 0.8.0 py_0 prompt-toolkit 3.0.8 py_0 prompt_toolkit 3.0.8 0 psutil 5.7.2 py38he774522_0 py 1.9.0 py_0 py-lief 0.10.1 py38ha925a31_0 pycodestyle 2.6.0 py_0 pycosat 0.6.3 py38he774522_0 pycparser 2.20 py_2 pycurl 7.43.0.6 py38h7a1dbc1_0 pydocstyle 5.1.1 py_0 pyflakes 2.2.0 py_0 pygments 2.7.2 pyhd3eb1b0_0 pylint 2.6.0 py38_0 pynacl 1.4.0 py38h62dcd97_1 pyodbc 4.0.30 py38ha925a31_0 pyopenssl 19.1.0 py_1 pyparsing 2.4.7 py_0 pyqt 5.9.2 py38ha925a31_4 pyreadline 2.1 py38_1 pyrsistent 0.17.3 py38he774522_0 pysocks 1.7.1 py38_0 pytables 3.6.1 py38ha5be198_0 pytest 6.1.1 py38_0 python 3.8.5 h5fd99cc_1 python-dateutil 2.8.1 py_0 python-jsonrpc-server 0.4.0 py_0 python-language-server 0.35.1 py_0 python-libarchive-c 2.9 py_0 pytz 2020.1 py_0 pywavelets 1.1.1 py38he774522_2 pywin32 227 py38he774522_1 pywin32-ctypes 0.2.0 py38_1000 pywinpty 0.5.7 py38_0 pyyaml 5.3.1 py38he774522_1 pyzmq 19.0.2 py38ha925a31_1 qdarkstyle 2.8.1 py_0 qt 5.9.7 vc14h73c81de_0 qtawesome 1.0.1 py_0 qtconsole 4.7.7 py_0 qtpy 1.9.0 py_0 regex 2020.10.15 py38he774522_0 requests 2.24.0 py_0 rope 0.18.0 py_0 rtree 0.9.4 py38h21ff451_1 ruamel_yaml 0.15.87 py38he774522_1 scikit-image 0.17.2 py38h1e1f486_0 scikit-learn 0.23.2 py38h47e9c7a_0 scipy 1.5.2 py38h14eb087_0 seaborn 0.11.0 py_0 send2trash 1.5.0 py38_0 setuptools 50.3.1 py38haa95532_1 simplegeneric 0.8.1 py38_2 singledispatch 3.4.0.3 py_1001 sip 4.19.13 py38ha925a31_0 six 1.15.0 py38haa95532_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 3.2.1 py_0 sphinxcontrib 1.0 py38_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 1.2.4 py_0 spyder 4.1.5 py38_0 spyder-kernels 1.9.4 py38_0 sqlalchemy 1.3.20 py38h2bbff1b_0 sqlite 3.33.0 h2a8f88b_0 statsmodels 0.12.0 py38he774522_0 sympy 1.6.2 py38haa95532_1 tblib 1.7.0 py_0 terminado 0.9.1 py38_0 testpath 0.4.4 py_0 threadpoolctl 2.1.0 pyh5ca1d4c_0 tifffile 2020.10.1 py38h8c2d366_2 tk 8.6.10 he774522_0 toml 0.10.1 py_0 toolz 0.11.1 py_0 tornado 6.0.4 py38he774522_1 tqdm 4.50.2 py_0 traitlets 5.0.5 py_0 typing_extensions 3.7.4.3 py_0 ujson 4.0.1 py38ha925a31_0 unicodecsv 0.14.1 py38_0 urllib3 1.25.11 py_0 vc 14.1 h0510ff6_4 vs2015_runtime 14.16.27012 hf0eaf9b_3 watchdog 0.10.3 py38_0 wcwidth 0.2.5 py_0 webencodings 0.5.1 py38_1 werkzeug 1.0.1 py_0 wheel 0.35.1 py_0 widgetsnbextension 3.5.1 py38_0 win_inet_pton 1.1.0 py38_0 win_unicode_console 0.5 py38_0 wincertstore 0.2 py38_0 winpty 0.4.3 4 wrapt 1.11.2 py38he774522_0 xlrd 1.2.0 py_0 xlsxwriter 1.3.7 py_0 xlwings 0.20.8 py38_0 xlwt 1.3.0 py38_0 xmltodict 0.12.0 py_0 xz 5.2.5 h62dcd97_0 yaml 0.2.5 he774522_0 yapf 0.30.0 py_0 zeromq 4.3.2 ha925a31_3 zict 2.0.0 py_0 zipp 3.4.0 pyhd3eb1b0_0 zlib 1.2.11 h62dcd97_4 zope 1.0 py38_1 zope.event 4.5.0 py38_0 zope.interface 5.1.2 py38he774522_0 zstd 1.4.5 h04227a9_0

2条回答

网友

1楼 · 编辑于 2024-04-19 18:59:30

从your comment开始，安装包的环境和要使用的解释器是不同的

请在Anaconda命令提示符下执行以下操作

conda activate rstudio
pip install matplotlib
pip install pandas

网友

2楼 · 编辑于 2024-04-19 18:59:30

我可以看到这些包已经存在于您的基本环境中，因此现在不需要安装任何其他包

首先，您需要将Python添加到路径中

请点击此处并向下滚动，将Python添加到路径（可选）https://www.datacamp.com/community/tutorials/installing-anaconda-windows，然后按照说明操作

完成后，您需要在命令提示符中键入conda activate base，然后按enter键，然后可以键入code并启动开发环境

或者，您可以在开始按钮中查找anaconda提示符并启动它，它将自动进入anaconda基本环境，然后您可以尝试通过键入code来启动代码

如果你不能启动代码，你可以点击这里并按照说明将vs代码添加到你的路径中，How to start Visual Studio Code within Anaconda Env只需按照第一个答案中的步骤操作即可

然后打开一个新的CMD提示符，再次尝试从上面键入activate和code命令，或者再次从start按钮启动anaconda提示符

或者，您也可以使用以下步骤将anaconda环境直接添加到vs代码中

1   Ctrl + shift + P
2   Search Select Interpreter
3   Select it and it will show you the list of your virtual environment created via conda and other python versions
4   select the environment and you are ready to go.

然后，您将能够通过使用命令提示符、激活环境和启动代码来启动anaconda环境。或者，您可以直接启动代码并从中选择anaconda环境

您需要了解什么是anaconda，它只是一个环境创建者和包管理器。每个环境都有自己的包，您可以在完成后控制和销毁这些包，这样可以确保您的环境是沙盒式的，这样它们就不会影响彼此或您的系统

我建议您创建一个新的环境，而不是使用基本环境来完成您的工作，为此，您可以键入conda create -n name，其中name是环境的名称，您可以放置任何您想要的内容。在此之后，您可以执行conda install pandas matplotlib等操作，现在您可以conda activate name而不是启动到该环境中

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