numpydoc | Numpy's Sphinx extensions | Data Manipulation library

 by   numpy Python Version: 1.7.0rc0 License: Non-SPDX

kandi X-RAY | numpydoc Summary

kandi X-RAY | numpydoc Summary

numpydoc is a Python library typically used in Utilities, Data Manipulation, Numpy applications. numpydoc has no bugs, it has no vulnerabilities, it has build file available and it has high support. However numpydoc has a Non-SPDX License. You can install using 'pip install numpydoc' or download it from GitHub, PyPI.

Numpy's Sphinx extensions
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              numpydoc has a highly active ecosystem.
              It has 240 star(s) with 145 fork(s). There are 34 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 64 open issues and 126 have been closed. On average issues are closed in 35 days. There are 10 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of numpydoc is 1.7.0rc0

            kandi-Quality Quality

              numpydoc has 0 bugs and 0 code smells.

            kandi-Security Security

              numpydoc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              numpydoc code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              numpydoc has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              numpydoc releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              numpydoc saves you 1703 person hours of effort in developing the same functionality from scratch.
              It has 4056 lines of code, 315 functions and 18 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed numpydoc and discovered the below as its top functions. This is intended to give you an instant insight into numpydoc implemented functionality, and help decide if they suit your requirements.
            • Parse the docstring
            • Logs the error message
            • Parse the index section
            • Parse a list of parameters
            • Wrap Mangling directives
            • Wrap a docstring directive
            • Mangle docstrings
            • Rename references
            • Validate an object
            • Check the description
            • Load an object from a module
            • Validate a documentation object
            • Mangle signature
            • Clean text signature
            • Return documentation for obj
            • Relabels references
            • Wrapper around findall
            • Determine if a citation node is in a docstring
            • Check for missing parameters
            • Create an error message
            • List of property names
            • Return True if name is a class member
            • Read file contents
            • Removes references from the documentation node
            • Return a list of section titles
            • List of available methods
            Get all kandi verified functions for this library.

            numpydoc Key Features

            No Key Features are available at this moment for numpydoc.

            numpydoc Examples and Code Snippets

            No Code Snippets are available at this moment for numpydoc.

            Community Discussions

            QUESTION

            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Asked 2022-Mar-13 at 16:13

            I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.

            • I first tested the app by running python setup.py py2app -A in the terminal and the dist and build folder are successfully created and the app works when launched.
            • Now when I try to build it non-locally by running the command python setup.py py2app in the terminal, there are various "WARNING: ImportERROR" messages while building and finally a error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' error.

              How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
              *I Left out a lot of the "skipping" and "warning" lines using "..." for space
            ...

            ANSWER

            Answered 2022-Mar-13 at 16:13

            The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.

            The fix:

            1. Open the terminal and type the command type -a python.
            • You will see similar lines

            Source https://stackoverflow.com/questions/71414043

            QUESTION

            PyObjc error while trying to deploy flask app on Heroku
            Asked 2022-Feb-04 at 21:42

            I am trying to deploy my first web app on Heroku however I am getting a PyObjc error while pushing the code. I am doing this on a Mac Machine. This predictive application is developed using Flask. I do not know why this error is occurring as I do not have the PyObjc in my requirements.txt

            ...

            ANSWER

            Answered 2022-Feb-04 at 21:42

            applaunchservices appears to be Apple-only:

            Simple package for registering an app with apple Launch Services to handle UTI and URL. See Apple documentations for details.

            I suspect you don't need that, either. Did you create your requirements.txt from a pip freeze? There's likely a bunch of stuff in there you don't need.

            I suggest you review that file and remove anything you aren't directly depending on. pip will find transitive dependencies (dependencies your dependencies depend on) and install them automatically.

            Prune that file, commit, and redeploy.

            Source https://stackoverflow.com/questions/70993086

            QUESTION

            Furo Sphinx theme uppercases too much in API documentation
            Asked 2022-Jan-02 at 17:47

            I am a beginner in documentation with Sphinx. I wanted to produce numpy style documentations. Therefore, I used numpydoc extension. Numpy uses pydata theme, however I chose furo. I understand that there will be some differences in appearance, but I expected my page to have the same format as numpy's at least, though I get the parameter names, and types capitalized. Descriptions are not capitalized.

            My docstring:

            ...

            ANSWER

            Answered 2022-Jan-02 at 17:47

            Note: The issue has been fixed in Furo 2022.1.2.

            It's definitely the theme. Probably an oversight, or even a bug, as Furo shouldn't change capitalization of identifiers and types in the API documentation. But it does, here, by applying the CSS property text-transform: uppercase.

            You can override it with a custom style. In your docs folder, create a subfolder style, and in it a file custom.css with this content:

            Source https://stackoverflow.com/questions/69873561

            QUESTION

            UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)
            Asked 2021-Dec-03 at 14:58

            Good day

            I am getting an error while importing my environment:

            ...

            ANSWER

            Answered 2021-Dec-03 at 09:22

            Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

            Source https://stackoverflow.com/questions/70209921

            QUESTION

            mamba fails to create env
            Asked 2021-Aug-04 at 05:11

            I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)

            ...

            ANSWER

            Answered 2021-Aug-04 at 05:11

            QUESTION

            AttributeError: could not import keras and segmentation models
            Asked 2021-Jul-02 at 05:33

            I am trying to import segmentation models and keras and i am getting an attribute error, i am using tensor flow version 2.5.0

            ...

            ANSWER

            Answered 2021-Jul-02 at 05:33

            I have solved my issue by adding tf.compat.v1.enable_eager_execution() to import and it works fine

            Source https://stackoverflow.com/questions/68209795

            QUESTION

            Updating packages in conda
            Asked 2021-Apr-14 at 20:26

            I have a problem with updating packages in conda. The list of my installed packages is:

            ...

            ANSWER

            Answered 2021-Apr-14 at 20:26

            Channel pypi means that the package was installed with pip. You may need to upgrade it with pip as well

            Source https://stackoverflow.com/questions/67097308

            QUESTION

            How to create a requirements.txt file in Django project?
            Asked 2021-Mar-18 at 01:12

            I have been trying to create a requirements.txt file from the Pycharm terminal but it is adding all unnecessary packages as well. What should I do to show only used packages? Thanks, requirements.txt:

            aiohttp==3.7.3 aioredis==1.3.1 alabaster==0.7.12 anaconda-client==1.7.2 anaconda-navigator==1.9.12 anaconda-project==0.8.3 appdirs==1.4.4 appnope==0.1.0 argh==0.26.2 asgiref==3.3.1 asn1crypto==1.3.0 astroid==2.4.2 astropy==4.0.1.post1 async-timeout==3.0.1 atomicwrites==1.4.0 attrs==19.1.0 autobahn==21.2.1 Automat==20.2.0 autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work Babel==2.8.0 backcall==0.1.0 backports.functools-lru-cache==1.6.1 backports.shutil-get-terminal-size==1.0.0 backports.tempfile==1.0 backports.weakref==1.0.post1 bcrypt==3.1.7 beautifulsoup4==4.9.1 bitarray @ file:///C:/ci/bitarray_1594751092677/work bkcharts==0.2 bleach==3.1.0 bokeh @ file:///C:/ci/bokeh_1593183652752/work boto==2.49.0 Bottleneck==1.3.2 brotlipy==0.7.0 bs4==0.0.1 certifi==2020.6.20 cffi==1.13.1 channels==3.0.3 channels-redis==3.2.0 chardet==3.0.4 cheroot==8.5.2 Click==7.0 cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work clyent==1.2.2 colorama==0.4.4 comtypes==1.1.7 conda==4.8.3 conda-build==3.18.11 conda-package-handling==1.7.0 conda-verify==3.4.2 constantly==15.1.0 contextlib2==0.6.0.post1 cryptography==3.4.6 cycler==0.10.0 Cython @ file:///C:/ci/cython_1594830140812/work cytoolz==0.10.1 daphne==3.0.1 dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work decorator==4.4.0 defusedxml==0.6.0 diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work distlib==0.3.1 distributed @ file:///C:/ci/distributed_1594747837674/work dj-database-url==0.5.0 dj-rest-auth==2.1.3 Django==3.1.5 django-admin-honeypot==1.1.0 django-allauth==0.44.0 django-bootstrap4==0.0.5 django-channels==0.7.0 django-crispy-forms==1.11.0 django-defender==0.8.0 django-heroku==0.3.1 django-honeypot==0.9.0 django-tastypie==0.14.3 djangorestframework==3.12.2 dnspython==1.15.0 docutils==0.16 entrypoints==0.3 et-xmlfile==1.0.1 Faker==0.8.13 fastcache==1.1.0 filelock==3.0.12 flake8==3.7.8 Flask==0.12.4 Flask-Bcrypt==0.7.1 Flask-Cors==3.0.3 Flask-JWT-Extended==3.7.0 Flask-Login==0.4.0 fsspec==0.7.4 future==0.18.2 gevent @ file:///C:/ci/gevent_1593010772244/work glob2==0.7 gmpy2==2.0.8 greenlet==0.4.16 gunicorn==20.0.4 h5py==2.10.0 HeapDict==1.0.1 hiredis==1.1.0 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work hyperlink==21.0.0 idna @ file:///tmp/build/80754af9/idna_1593446292537/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize==1.2.0 importlib-metadata==0.23 incremental==17.5.0 intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work ipykernel==5.1.3 ipython==7.8.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 isort==5.7.0 itsdangerous==1.1.0 jaraco.functools==3.1.0 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work json5==0.9.5 jsonschema==3.1.1 jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==2.1.5 jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work keyring @ file:///C:/ci/keyring_1593109210108/work kiwisolver==1.2.0 lazy-object-proxy==1.4.3 libarchive-c==2.9 llvmlite==0.32.1 locket==0.2.0 lxml @ file:///C:/ci/lxml_1594826940903/work MarkupSafe==1.1.1 matplotlib @ file:///C:/ci/matplotlib-base_1592844891112/work mccabe==0.6.1 menuinst==1.4.16 mistune==0.8.4 mkl-fft==1.1.0 mkl-random==1.1.1 mkl-service==2.3.0 mock==4.0.2 more-itertools==7.2.0 mpmath==1.1.0 msgpack==1.0.0 multidict==5.0.2 multipledispatch==0.6.0 navigator-updater==0.2.1 nbconvert==5.6.0 nbformat==4.4.0 networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work node==0.9.25 nose==1.3.7 notebook==6.0.1 numba==0.49.1 numexpr==2.7.1 numpy==1.18.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work oauthlib==3.1.0 odict==1.7.0 olefile==0.46 openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work packaging==20.4 pandas @ file:///C:/ci/pandas_1592841744841/work pandocfilters==1.4.2 paramiko==2.7.1 parso==0.5.1 partd==1.1.0 path==13.1.0 pathlib2==2.3.5 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect==4.7.0 pickleshare==0.7.5 Pillow @ file:///C:/ci/pillow_1594304973959/work pipenv==2020.11.15 pkginfo==1.5.0.1 pluggy==0.6.0 plumber==1.6 ply==3.11 prometheus-client==0.7.1 prompt-toolkit==2.0.10 psutil==5.7.0 psycopg2==2.8.6 ptyprocess==0.6.0 py==1.8.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.5.0 pycosat==0.6.3 pycparser==2.19 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work pyflakes==2.1.1 pygame==2.0.1 Pygments==2.4.2 PyHamcrest==2.0.2 PyJWT==1.7.1 pylint==2.6.0 pymongo==3.7.2 PyNaCl @ file:///C:/ci/pynacl_1595009196976/work pyodbc===4.0.0-unsupported pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work pyparsing==2.4.7 PyQt5==5.15.2 PyQt5-sip==12.8.1 pyreadline==2.1 pyrsistent==0.15.4 PySocks==1.7.1 pytest==3.3.0 pytest-flask==0.11.0 python-dateutil==2.8.0 python-decouple==3.4 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work python-language-server @ file:///C:/ci/python-language-server_1594154480810/work python-mimeparse==1.6.0 python3-openid==3.2.0 pytz==2020.1 PyWavelets==1.1.1 pywin32==227 pywin32-ctypes==0.2.0 pywinpty==0.5.7 PyYAML==5.3.1 pyzmq @ file:///C:/Users/Rashidov/Desktop/mflix-python/pyzmq-22.0.3-cp38-cp38-win32.whl QDarkStyle==2.8.1 QtAwesome==0.7.2 qtconsole==4.5.5 QtPy==1.9.0 redis==3.5.3 regex @ file:///C:/ci/regex_1593435678736/work requests @ file:///tmp/build/80754af9/requests_1592841827918/work requests-oauthlib==1.3.0 rope==0.17.0 Rtree==0.9.4 ruamel-yaml==0.15.87 scikit-image==0.16.2 scikit-learn @ file:///C:/ci/scikit-learn_1592863447244/work scipy @ file:///C:/ci/scipy_1592916961137/work seaborn==0.10.1 selenium==3.141.0 Send2Trash==1.5.0 service-identity==18.1.0 simplegeneric==0.8.1 simplejson==3.17.2 singledispatch==3.4.0.3 sip==4.19.13 six==1.12.0 snowballstemmer==2.0.0 sortedcollections==1.2.1 sortedcontainers==2.2.2 soupsieve==2.0.1 Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work spyder @ file:///C:/ci/spyder_1594820234642/work spyder-kernels @ file:///C:/ci/spyder-kernels_1594744028846/work SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446777599/work sqlparse==0.4.1 statsmodels==0.11.1 sympy @ file:///C:/ci/sympy_1594234724630/work tables==3.6.1 tblib==1.6.0 telepot==12.7 terminado==0.8.3 testpath==0.4.2 text-unidecode==1.2 textblob==0.15.3 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl toml==0.10.2 toolz==0.10.0 tornado==6.0.3 tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work traitlets==4.3.3 Twisted @ file:///C:/Users/Rashidov/Desktop/chat_app/Twisted-20.3.0-cp38-cp38-win32.whl txaio==21.2.1 typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work ujson==1.35 unicodecsv==0.14.1 urllib3==1.25.9 virtualenv==20.3.0 virtualenv-clone==0.5.4 watchdog @ file:///C:/ci/watchdog_1593447396356/work wcwidth==0.1.7 web.py==0.62 webencodings==0.5.1 Werkzeug==0.16.0 whitenoise==5.2.0 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.12.1 xlrd==1.2.0 XlsxWriter==1.2.9 xlwings==0.19.5 xlwt==1.3.0 xmltodict==0.12.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work yarl==1.6.3 zict==2.0.0 zipp==0.6.0 zope.component==4.6.2 zope.deferredimport==4.3.1 zope.deprecation==4.4.0 zope.event==4.4 zope.hookable==5.0.1 zope.interface==4.7.1 zope.lifecycleevent==4.3 zope.proxy==4.3.5

            ...

            ANSWER

            Answered 2021-Mar-17 at 23:14

            Check out this Snakefood

            Especially the command sfood-imports which finds and lists import statements in python project

            So it is not depended on your env but rather on the code that you wrote

            Source https://stackoverflow.com/questions/66681708

            QUESTION

            Telegram bot on Heroku returns ModuleNotFoundError
            Asked 2021-Feb-25 at 18:00

            I've built this telegram bot yesterday, and it ran smoothly on Heroku.

            However, today I added a new package python-google-places and I attempted to push to Heroku but received the following errors in Heroku's log:

            ...

            ANSWER

            Answered 2021-Feb-24 at 15:37

            Pipfile is redundant for Heroku. But it is ok to use it for development.

            Most probably that you are erasing it from dependencies using pipenv. Try to add to Pipfile and then do pip freeze

            Source https://stackoverflow.com/questions/66351049

            QUESTION

            Sphinx not generating documentation for file
            Asked 2021-Feb-25 at 15:30

            So I am generating documentation using Sphinx and one of the files is not displaying. It is the PyTuner tuner in the image.

            The file has 3 classes in a numpydoc configuration.

            Here is source/conf.py:

            ...

            ANSWER

            Answered 2021-Feb-25 at 15:30

            The extensions configuration contains both numpydoc and sphinx.ext.napoleon.

            I don't know the exact cause of your problem, but these extensions are quite similar and you should use only one of them.

            And there should be a blank line before "PyTuner tunertools".

            Source https://stackoverflow.com/questions/66360800

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install numpydoc

            You can install using 'pip install numpydoc' or download it from GitHub, PyPI.
            You can use numpydoc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install numpydoc

          • CLONE
          • HTTPS

            https://github.com/numpy/numpydoc.git

          • CLI

            gh repo clone numpy/numpydoc

          • sshUrl

            git@github.com:numpy/numpydoc.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link