kandi background
Explore Kits

unidecode | ASCII transliterations of Unicode text for Java | Regex library

 by   xuender Java Version: Current License: MIT

 by   xuender Java Version: Current License: MIT

Download this library from

kandi X-RAY | unidecode Summary

unidecode is a Java library typically used in Utilities, Regex applications. unidecode has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
ASCII transliterations of Unicode string for Java.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • unidecode has a low active ecosystem.
  • It has 73 star(s) with 21 fork(s). There are 7 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 5 have been closed. On average issues are closed in 1 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of unidecode is current.
unidecode Support
Best in #Regex
Average in #Regex
unidecode Support
Best in #Regex
Average in #Regex

quality kandi Quality

  • unidecode has 0 bugs and 0 code smells.
unidecode Quality
Best in #Regex
Average in #Regex
unidecode Quality
Best in #Regex
Average in #Regex

securitySecurity

  • unidecode has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • unidecode code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
unidecode Security
Best in #Regex
Average in #Regex
unidecode Security
Best in #Regex
Average in #Regex

license License

  • unidecode is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
unidecode License
Best in #Regex
Average in #Regex
unidecode License
Best in #Regex
Average in #Regex

buildReuse

  • unidecode releases are not available. You will need to build from source code and install.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • It has 355 lines of code, 45 functions and 5 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
unidecode Reuse
Best in #Regex
Average in #Regex
unidecode Reuse
Best in #Regex
Average in #Regex
Top functions reviewed by kandi - BETA

kandi has reviewed unidecode and discovered the below as its top functions. This is intended to give you an instant insight into unidecode implemented functionality, and help decide if they suit your requirements.

  • Retrieves the contents of the given section .
    • Decodes a string .
      • Returns the initials .

        Get all kandi verified functions for this library.

        Get all kandi verified functions for this library.

        unidecode Key Features

        ASCII transliterations of Unicode text for Java

        How to Use

        copy iconCopydownload iconDownload
        <dependency>
        	<groupId>me.xuender</groupId>
        	<artifactId>unidecode</artifactId>
        	<version>0.0.7</version>
        </dependency>
        

        decode

        copy iconCopydownload iconDownload
        System.out.print(Unidecode.decode("南无阿弥陀佛"));
        Nan Wu A Mi Tuo Fo
        
        System.out.print(Unidecode.decode("一条会走路的鱼"));
        Yi Tiao Hui Zou Lu De Yu
        
        System.out.print(Unidecode.decode("あみだにょらい"));
        amidaniyorai
        

        initials

        copy iconCopydownload iconDownload
        System.out.print(Unidecode.initials("南无阿弥陀佛"));
        NWAMTF
        
        System.out.println(Unidecode.initials("不怨人就是成佛的大道根"));
        BYRJSCFDDDG
        
        System.out.print(Unidecode.initials("Κνωσός"));
        K
        

        How to customize unidecode?

        copy iconCopydownload iconDownload
        >>> import string
        >>> whitelist = set(string.printable + 'αÅ')
        >>> test_str = 'α, Å ©'
        >>> ''.join(ch if ch in whitelist else unidecode.unidecode(ch) for ch in test_str)
        'α, Å (c)'
        

        ModuleNotFoundError: No module named 'airflow.providers.slack' Airflow 2.0 (MWAA)

        copy iconCopydownload iconDownload
        --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-main/constraints-3.7.txt"
        

        Poetry | AttributeError 'Link' object has no attribute 'name'

        copy iconCopydownload iconDownload
        rm -rf $HOME/.cache/pypoetry/artifacts/*
        

        Turn this JSON into dataframe

        copy iconCopydownload iconDownload
        df = pd.json_normalize(j, record_path='historical', meta='symbol')
        
        >>> df
                 date   close symbol
        0  2022-02-18  167.30   AAPL
        1  2022-02-17  168.88   AAPL
        2  2022-02-16  172.55   AAPL
        3  2022-02-15  172.79   AAPL
        4  2022-02-14  168.88   AAPL
        
        df = pd.json_normalize(j, record_path='historical', meta='symbol')
        
        >>> df
                 date   close symbol
        0  2022-02-18  167.30   AAPL
        1  2022-02-17  168.88   AAPL
        2  2022-02-16  172.55   AAPL
        3  2022-02-15  172.79   AAPL
        4  2022-02-14  168.88   AAPL
        

        How to install pyodbc on Dockerfile

        copy iconCopydownload iconDownload
        sudo apt-get update
        sudo apt-get install --reinstall build-essential
        
        FROM --platform=linux/amd64 python:3.8-slim-buster
        ENV PYTHONDONTWRITEBYTECODE 1
        ENV PYTHONUNBUFFERED 1
        ENV DEBIAN_FRONTEND noninteractive
        RUN apt-get update -y && apt-get install -y gcc curl gnupg build-essential
        RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
        RUN curl https://packages.microsoft.com/config/debian/10/prod.list > /etc/apt/sources.list.d/mssql-release.list
        RUN apt-get update -y && apt-get install -y unixodbc unixodbc-dev tdsodbc freetds-common freetds-bin freetds-dev postgresql
        RUN apt-get update && ACCEPT_EULA=Y apt-get -y install mssql-tools msodbcsql17
        RUN echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bash_profile
        RUN echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc
        RUN apt-get update
        RUN mkdir /djangonoguero
        COPY ./project /djangonoguero/
        COPY ./requirements.txt /djangonoguero/
        COPY odbcinst.ini /etc/
        COPY odbc.ini /etc/
        COPY freetds.conf /etc/freetds/
        WORKDIR /djangonoguero
        RUN pip install --no-cache-dir -r requirements.txt
        EXPOSE 8000
        
        sudo apt-get update
        sudo apt-get install --reinstall build-essential
        
        FROM --platform=linux/amd64 python:3.8-slim-buster
        ENV PYTHONDONTWRITEBYTECODE 1
        ENV PYTHONUNBUFFERED 1
        ENV DEBIAN_FRONTEND noninteractive
        RUN apt-get update -y && apt-get install -y gcc curl gnupg build-essential
        RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
        RUN curl https://packages.microsoft.com/config/debian/10/prod.list > /etc/apt/sources.list.d/mssql-release.list
        RUN apt-get update -y && apt-get install -y unixodbc unixodbc-dev tdsodbc freetds-common freetds-bin freetds-dev postgresql
        RUN apt-get update && ACCEPT_EULA=Y apt-get -y install mssql-tools msodbcsql17
        RUN echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bash_profile
        RUN echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc
        RUN apt-get update
        RUN mkdir /djangonoguero
        COPY ./project /djangonoguero/
        COPY ./requirements.txt /djangonoguero/
        COPY odbcinst.ini /etc/
        COPY odbc.ini /etc/
        COPY freetds.conf /etc/freetds/
        WORKDIR /djangonoguero
        RUN pip install --no-cache-dir -r requirements.txt
        EXPOSE 8000
        

        Colab: (0) UNIMPLEMENTED: DNN library is not found

        copy iconCopydownload iconDownload
        !pip install tensorflow==2.7.0
        
        'tensorflow==2.7.0',
        'tf-models-official==2.7.0',
        'tensorflow_io==0.23.1',
        

        Why do I get NameError: name '_' is not defined when setting custom templates for djangocms-video?

        copy iconCopydownload iconDownload
        from django.utils.translation import gettext_lazy as _

        UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)

        copy iconCopydownload iconDownload
        name: restoredEnv
        channels:
          - anaconda
          - conda-forge
          - defaults
        dependencies:
          - _anaconda_depends=2020.07
          - _ipyw_jlab_nb_ext_conf=0.1.0
          - _tflow_select=2.3.0=eigen
          - aiohttp=3.7.4
          - alabaster=0.7.12
          - anaconda=custom
          - anaconda-client=1.7.2
          - anaconda-navigator=2.0.3
          - anaconda-project=0.9.1
          - anyio=2.2.0
          - appdirs=1.4.4
          - argh=0.26.2
          - argon2-cffi=20.1.0
          - arrow=1.0.3
          - asn1crypto=1.4.0
          - astor=0.8.1
          - astroid=2.5.2
          - astropy=4.2.1
          - astunparse=1.6.3
          - async-timeout=3.0.1
          - async_generator=1.10
          - atomicwrites=1.4.0
          - attrs=20.3.0
          - autopep8=1.5.6
          - babel=2.9.0
          - backcall=0.2.0
          - backports=1.0
          - backports.functools_lru_cache=1.6.3
          - backports.shutil_get_terminal_size=1.0.0
          - backports.tempfile=1.0
          - backports.weakref=1.0.post1
          - bcrypt=3.2.0
          - beautifulsoup4=4.9.3
          - binaryornot=0.4.4
          - bitarray=1.9.1
          - bkcharts=0.2
          - black=20.8b1
          - blas=1.0=mkl
          - bleach=3.3.0
          - blinker=1.4
          - blosc=1.21.0
          - bokeh=2.3.0
          - boto=2.49.0
          - bottleneck=1.3.2
          - brotli=1.0.9
          - brotlipy=0.7.0
          - bzip2=1.0.8
          - ca-certificates=2020.10.14=0
          - cached-property=1.5.2
          - cached_property=1.5.2
          - certifi=2020.6.20
          - cffi=1.14.5
          - chardet=4.0.0
          - charls=2.2.0
          - click=7.1.2
          - cloudpickle=1.6.0
          - clyent=1.2.2
          - colorama=0.4.4
          - comtypes=1.1.9
          - conda=4.10.1
          - conda-build=3.18.11
          - conda-content-trust=0.1.1
          - conda-env=2.6.0=1
          - conda-package-handling=1.7.2
          - conda-repo-cli=1.0.4
          - conda-token=0.3.0
          - conda-verify=3.4.2
          - console_shortcut=0.1.1=4
          - contextlib2=0.6.0.post1
          - cookiecutter=1.7.2
          - cryptography=3.4.7
          - curl=7.76.0
          - cycler=0.10.0
          - cython=0.29.22
          - cytoolz=0.11.0
          - dask=2021.4.0
          - dask-core=2021.4.0
          - dataclasses=0.8
          - decorator=4.4.2
          - defusedxml=0.7.1
          - diff-match-patch=20200713
          - distributed=2021.4.0
          - docutils=0.17
          - entrypoints=0.3
          - et_xmlfile=1.0.1
          - fastcache=1.1.0
          - filelock=3.0.12
          - flake8=3.9.0
          - flask=1.1.2
          - freetype=2.10.4
          - fsspec=0.9.0
          - future=0.18.2
          - get_terminal_size=1.0.0
          - gevent=21.1.2
          - giflib=5.2.1
          - glew=2.1.0
          - glob2=0.7
          - gmpy2=2.1.0b1
          - google-pasta=0.2.0
          - greenlet=1.0.0
          - h5py=2.10.0
          - hdf5=1.10.6
          - heapdict=1.0.1
          - html5lib=1.1
          - icc_rt=2019.0.0
          - icu=68.1
          - idna=2.10
          - imagecodecs=2021.3.31
          - imageio=2.9.0
          - imagesize=1.2.0
          - importlib-metadata=3.10.0
          - importlib_metadata=3.10.0
          - inflection=0.5.1
          - iniconfig=1.1.1
          - intel-openmp=2021.2.0
          - intervaltree=3.0.2
          - ipykernel=5.5.3
          - ipython=7.22.0
          - ipython_genutils=0.2.0
          - ipywidgets=7.6.3
          - isort=5.8.0
          - itsdangerous=1.1.0
          - jdcal=1.4.1
          - jedi=0.17.2
          - jinja2=2.11.3
          - jinja2-time=0.2.0
          - joblib=1.0.1
          - jpeg=9d
          - json5=0.9.5
          - jsonschema=3.2.0
          - jupyter=1.0.0
          - jupyter-packaging=0.7.12
          - jupyter_client=6.1.12
          - jupyter_console=6.4.0
          - jupyter_core=4.7.1
          - jupyter_server=1.5.1
          - jupyterlab=3.0.12
          - jupyterlab_pygments=0.1.2
          - jupyterlab_server=2.4.0
          - jupyterlab_widgets=1.0.0
          - jxrlib=1.1
          - keras-applications=1.0.8
          - keras-preprocessing=1.1.2
          - keyring=23.0.1
          - kivy=2.0.0
          - kiwisolver=1.3.1
          - krb5=1.17.2
          - lazy-object-proxy=1.6.0
          - lcms2=2.12
          - lerc=2.2.1
          - libaec=1.0.4
          - libarchive=3.5.1
          - libblas=3.9.0=8_mkl
          - libcblas=3.9.0=8_mkl
          - libclang=11.1.0
          - libcurl=7.76.0
          - libdeflate=1.7
          - libiconv=1.16
          - liblapack=3.9.0=8_mkl
          - liblief=0.10.1
          - libllvm9=9.0.1
          - libpng=1.6.37
          - libprotobuf=3.16.0
          - libsodium=1.0.18
          - libspatialindex=1.9.3
          - libssh2=1.9.0
          - libtiff=4.2.0
          - libuv=1.39.0
          - libwebp-base=1.2.0
          - libxml2=2.9.10
          - libxslt=1.1.33
          - libzopfli=1.0.3
          - llvmlite=0.36.0
          - locket=0.2.0
          - lxml=4.6.3
          - lz4-c=1.9.3
          - lzo=2.10
          - 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
          - markdown=3.3.4
          - markupsafe=1.1.1
          - matplotlib=3.4.1
          - matplotlib-base=3.4.1
          - mccabe=0.6.1
          - menuinst=1.4.16
          - mistune=0.8.4
          - mkl=2020.4
          - mkl-service=2.3.0
          - mkl_fft=1.3.0
          - mkl_random=1.2.0
          - mock=4.0.3
          - more-itertools=8.7.0
          - mpc=1.1.0
          - mpfr=4.0.2
          - mpir=3.0.0
          - mpmath=1.2.1
          - msgpack-python=1.0.2
          - msys2-conda-epoch=20160418=1
          - multidict=5.1.0
          - multipledispatch=0.6.0
          - mypy_extensions=0.4.3
          - navigator-updater=0.2.1
          - nbclassic=0.2.6
          - nbclient=0.5.3
          - nbconvert=6.0.7
          - nbformat=5.1.3
          - nest-asyncio=1.5.1
          - networkx=2.5.1
          - nltk=3.6
          - nose=1.3.7
          - notebook=6.3.0
          - numba=0.53.1
          - numexpr=2.7.3
          - numpy=1.20.2
          - numpy-base=1.18.5
          - numpydoc=1.1.0
          - olefile=0.46
          - openjpeg=2.4.0
          - openpyxl=3.0.7
          - openssl=1.1.1k
          - opt_einsum=3.3.0
          - packaging=20.9
          - pandas=1.2.3
          - pandoc=2.13
          - pandocfilters=1.4.2
          - paramiko=2.7.2
          - parso=0.7.0
          - partd=1.1.0
          - path=15.1.2
          - path.py=12.5.0=0
          - pathlib2=2.3.5
          - pathspec=0.8.1
          - pathtools=0.1.2
          - patsy=0.5.1
          - pep8=1.7.1
          - pexpect=4.8.0
          - pickleshare=0.7.5
          - pillow=8.1.2
          - pip=21.0.1
          - pkginfo=1.7.0
          - pluggy=0.13.1
          - ply=3.11
          - pooch=1.3.0
          - powershell_shortcut=0.0.1=3
          - poyo=0.5.0
          - prometheus_client=0.10.0
          - prompt-toolkit=3.0.18
          - prompt_toolkit=3.0.18
          - psutil=5.8.0
          - ptyprocess=0.7.0
          - py=1.10.0
          - py-lief=0.10.1
          - pyasn1=0.4.8
          - pycodestyle=2.6.0
          - pycosat=0.6.3
          - pycparser=2.20
          - pycurl=7.43.0.6
          - pydocstyle=6.0.0
          - pyerfa=1.7.2
          - pyfirmata=1.1.0
          - pyflakes=2.2.0
          - pygments=2.8.1
          - pyjwt=2.1.0
          - pylint=2.7.2
          - pyls-black=0.4.6
          - pyls-spyder=0.3.2
          - pynacl=1.4.0
          - pyodbc=4.0.30
          - pyopenssl=20.0.1
          - pyparsing=2.4.7
          - pyqt=5.12.3
          - pyqt-impl=5.12.3
          - pyqt5-sip=4.19.18
          - pyqtchart=5.12
          - pyqtwebengine=5.12.1
          - pyreadline=2.1
          - pyrsistent=0.17.3
          - pyserial=3.4
          - pysocks=1.7.1
          - pytables=3.6.1
          - pytest=6.2.3
          - python=3.8.3
          - python-dateutil=2.8.1
          - python-jsonrpc-server=0.4.0
          - python-language-server=0.36.2
          - python-libarchive-c=2.9
          - python-slugify=4.0.1
          - python_abi=3.8=1_cp38
          - pytz=2021.1
          - pywavelets=1.1.1
          - pywin32=300
          - pywin32-ctypes=0.2.0
          - pywinpty=0.5.7
          - pyyaml=5.4.1
          - pyzmq=22.0.3
          - qdarkstyle=3.0.2
          - qstylizer=0.1.10
          - qt=5.12.9
          - qtawesome=1.0.2
          - qtconsole=5.0.3
          - qtpy=1.9.0
          - regex=2021.4.4
          - requests=2.25.1
          - requests-oauthlib=1.3.0
          - rope=0.18.0
          - rsa=4.7.2
          - rtree=0.9.7
          - ruamel_yaml=0.15.80
          - scikit-image=0.18.1
          - scipy=1.6.2
          - sdl2=2.0.12
          - sdl2_image=2.0.5
          - sdl2_mixer=2.0.4
          - sdl2_ttf=2.0.15
          - seaborn=0.11.1
          - seaborn-base=0.11.1
          - send2trash=1.5.0
          - setuptools=49.6.0
          - simplegeneric=0.8.1
          - singledispatch=3.6.1
          - sip=4.19.25
          - six=1.15.0
          - smpeg2=2.0.0
          - snappy=1.1.8
          - sniffio=1.2.0
          - snowballstemmer=2.1.0
          - sortedcollections=2.1.0
          - sortedcontainers=2.3.0
          - soupsieve=2.0.1
          - sphinx=3.5.3
          - sphinxcontrib=1.0
          - 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=1.2.4
          - spyder=5.0.0
          - spyder-kernels=2.0.1
          - sqlalchemy=1.4.6
          - sqlite=3.35.4
          - statsmodels=0.12.2
          - sympy=1.7.1
          - tbb=2020.2
          - tblib=1.7.0
          - tensorboard=2.4.1
          - tensorboard-plugin-wit=1.8.0
          - tensorflow-base=2.3.0
          - tensorflow-estimator=2.4.0
          - terminado=0.9.4
          - testpath=0.4.4
          - text-unidecode=1.3
          - textdistance=4.2.1
          - threadpoolctl=2.1.0
          - three-merge=0.1.1
          - tifffile=2021.3.31
          - tinycss=0.4
          - tk=8.6.10
          - toml=0.10.2
          - toolz=0.11.1
          - tornado=6.1
          - tqdm=4.60.0
          - traitlets=5.0.5
          - typed-ast=1.4.2
          - typing-extensions=3.7.4.3=0
          - typing_extensions=3.7.4.3
          - ujson=4.0.2
          - unicodecsv=0.14.1
          - unidecode=1.2.0
          - urllib3=1.26.4
          - vc=14.2
          - vs2015_runtime=14.28.29325
          - watchdog=1.0.2
          - wcwidth=0.2.5
          - webencodings=0.5.1
          - werkzeug=1.0.1
          - wheel=0.36.2
          - whichcraft=0.6.1
          - widgetsnbextension=3.5.1
          - win_inet_pton=1.1.0
          - win_unicode_console=0.5
          - wincertstore=0.2
          - winpty=0.4.3=4
          - wrapt=1.12.1
          - xlrd=2.0.1
          - xlsxwriter=1.3.8
          - xlwings=0.23.0
          - xlwt=1.3.0
          - xmltodict=0.12.0
          - xz=5.2.5
          - yaml=0.2.5
          - yapf=0.30.0
          - yarl=1.6.3
          - zeromq=4.3.4
          - zfp=0.5.5
          - zict=2.0.0
          - zipp=3.4.1
          - zlib=1.2.11
          - zope=1.0
          - zope.event=4.5.0
          - zope.interface=5.3.0
          - zstd=1.4.9
          - pip:
            - absl-py==0.11.0
            - bs4==0.0.1
            - cachetools==4.2.1
            - cssselect==1.1.0
            - fake-useragent==0.1.11
            - feedparser==6.0.2
            - flatbuffers==1.12
            - gast==0.3.3
            - google-auth==1.27.1
            - google-auth-oauthlib==0.4.3
            - grpcio==1.32.0
            - oauthlib==3.1.0
            - opencv-python==4.5.1.48
            - parse==1.19.0
            - protobuf==3.15.5
            - pyarduino==0.2.2
            - pyasn1-modules==0.2.8
            - pyee==8.1.0
            - pymysql==0.10.1
            - pyppeteer==0.2.5
            - pyquery==1.4.3
            - requests-html==0.10.0
            - scikit-learn==0.22.2.post1
            - sgmllib3k==1.0.0
            - tensorflow==2.4.1
            - termcolor==1.1.0
            - w3lib==1.22.0
            - websockets==8.1
            - yahoo-fin==0.8.8
        

        Why Selenium sometimes can't find href witout error

        copy iconCopydownload iconDownload
        urlist = []
        browser.get('https://www.stradivarius.com/tr/kad%C4%B1n/giyim/%C3%BCr%C3%BCne-g%C3%B6re-al%C4%B1%C5%9Fveri%C5%9F/sweatshi%CC%87rt-c1390587.html')
        browser.implicitly_wait(90)  #<--- wait for the page to render BEFORE...
        html = browser.page_source  # ...grabing the html source
        soup = BeautifulSoup(html)
        product_links=soup.find_all('a', {'id':'hrefRedirectProduct'})
        for a in product_links:
            urlist.append(product_links["href"])
        
        import requests
        import pandas as pd
        
        url = 'https://www.stradivarius.com/itxrest/2/catalog/store/54009571/50331068/category/1390587/product?languageId=-43&appId=1'
        headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36'}
        jsonData = requests.get(url, headers=headers).json()
        
        df = pd.DataFrame(jsonData['products'])
        
        print(df['productUrl'])
        0                            kolej-sweatshirt-l06710711
        1     oversize-hard-rock-cafe-baskl-sweatshirt-l0670...
        2     oversize-hard-rock-cafe-baskl-sweatshirt-l0670...
        3     oversize-hard-rock-cafe-kapusonlu-sweatshirt-l...
        4                         fermuarl-sweatshirt-l06521718
                               
        60     fermuarl-oversize-kapusonlu-sweatshirt-l06765643
        61                   dikisli-basic-sweatshirt-l06519703
        62    jogging-fit-pantolon-ve-sweatshirt-seti-l01174780
        63                          naylon-sweatshirt-l08221191
        64                   dikisli-basic-sweatshirt-l06519703
        Name: productUrl, Length: 65, dtype: object
        
        urlist = []
        browser.get('https://www.stradivarius.com/tr/kad%C4%B1n/giyim/%C3%BCr%C3%BCne-g%C3%B6re-al%C4%B1%C5%9Fveri%C5%9F/sweatshi%CC%87rt-c1390587.html')
        browser.implicitly_wait(90)  #<--- wait for the page to render BEFORE...
        html = browser.page_source  # ...grabing the html source
        soup = BeautifulSoup(html)
        product_links=soup.find_all('a', {'id':'hrefRedirectProduct'})
        for a in product_links:
            urlist.append(product_links["href"])
        
        import requests
        import pandas as pd
        
        url = 'https://www.stradivarius.com/itxrest/2/catalog/store/54009571/50331068/category/1390587/product?languageId=-43&appId=1'
        headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36'}
        jsonData = requests.get(url, headers=headers).json()
        
        df = pd.DataFrame(jsonData['products'])
        
        print(df['productUrl'])
        0                            kolej-sweatshirt-l06710711
        1     oversize-hard-rock-cafe-baskl-sweatshirt-l0670...
        2     oversize-hard-rock-cafe-baskl-sweatshirt-l0670...
        3     oversize-hard-rock-cafe-kapusonlu-sweatshirt-l...
        4                         fermuarl-sweatshirt-l06521718
                               
        60     fermuarl-oversize-kapusonlu-sweatshirt-l06765643
        61                   dikisli-basic-sweatshirt-l06519703
        62    jogging-fit-pantolon-ve-sweatshirt-seti-l01174780
        63                          naylon-sweatshirt-l08221191
        64                   dikisli-basic-sweatshirt-l06519703
        Name: productUrl, Length: 65, dtype: object
        
        urlist = []
        browser.get('https://www.stradivarius.com/tr/kad%C4%B1n/giyim/%C3%BCr%C3%BCne-g%C3%B6re-al%C4%B1%C5%9Fveri%C5%9F/sweatshi%CC%87rt-c1390587.html')
        browser.implicitly_wait(90)  #<--- wait for the page to render BEFORE...
        html = browser.page_source  # ...grabing the html source
        soup = BeautifulSoup(html)
        product_links=soup.find_all('a', {'id':'hrefRedirectProduct'})
        for a in product_links:
            urlist.append(product_links["href"])
        
        import requests
        import pandas as pd
        
        url = 'https://www.stradivarius.com/itxrest/2/catalog/store/54009571/50331068/category/1390587/product?languageId=-43&appId=1'
        headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36'}
        jsonData = requests.get(url, headers=headers).json()
        
        df = pd.DataFrame(jsonData['products'])
        
        print(df['productUrl'])
        0                            kolej-sweatshirt-l06710711
        1     oversize-hard-rock-cafe-baskl-sweatshirt-l0670...
        2     oversize-hard-rock-cafe-baskl-sweatshirt-l0670...
        3     oversize-hard-rock-cafe-kapusonlu-sweatshirt-l...
        4                         fermuarl-sweatshirt-l06521718
                               
        60     fermuarl-oversize-kapusonlu-sweatshirt-l06765643
        61                   dikisli-basic-sweatshirt-l06519703
        62    jogging-fit-pantolon-ve-sweatshirt-seti-l01174780
        63                          naylon-sweatshirt-l08221191
        64                   dikisli-basic-sweatshirt-l06519703
        Name: productUrl, Length: 65, dtype: object
        

        Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

        copy iconCopydownload iconDownload
        # https://www.kaggle.com/new-york-state/nys-nyc-transit-subway-entrance-and-exit-data
        import kaggle.cli
        import sys, requests, urllib
        import pandas as pd
        from pathlib import Path
        from zipfile import ZipFile
        
        # fmt: off
        # download data set
        url = "https://www.kaggle.com/new-york-state/nys-nyc-transit-subway-entrance-and-exit-data"
        sys.argv = [sys.argv[0]] + f"datasets download {urllib.parse.urlparse(url).path[1:]}".split(" ")
        kaggle.cli.main()
        zfile = ZipFile(f'{urllib.parse.urlparse(url).path.split("/")[-1]}.zip')
        dfs = {f.filename: pd.read_csv(zfile.open(f)) for f in zfile.infolist() if Path(f.filename).suffix in [".csv"]}
        # fmt: on
        
        df_subway = dfs['nyc-transit-subway-entrance-and-exit-data.csv']
        
        from shapely.geometry import Point, MultiPoint
        from shapely.ops import nearest_points
        import geopandas as gpd
        
        geometry = [Point(xy) for xy in zip(df_subway['Station Longitude'], df_subway['Station Latitude'])]
        
        # Coordinate reference system :
        crs = {'init': 'EPSG:4326'}
        
        # Creating a Geographic data frame 
        gdf_subway_entrance_geometry = gpd.GeoDataFrame(df_subway, crs=crs, geometry=geometry).to_crs('EPSG:5234')
        gdf_subway_entrance_geometry
        
        df_yes_entry = gdf_subway_entrance_geometry
        df_yes_entry = gdf_subway_entrance_geometry[gdf_subway_entrance_geometry.Entry=='YES']
        df_yes_entry
        
        # randomly select a point....
        gpdPoint = gdf_subway_entrance_geometry.sample(1).geometry.tolist()[0]
        pts = MultiPoint(df_yes_entry['geometry'].values) # does not work with a geopandas series, works with a numpy array
        pt = Point(gpdPoint.x, gpdPoint.y)
        #[o.wkt for o in nearest_points(pt, pts)]
        for o in nearest_points(pt, pts):
          print(o)
        

        Community Discussions

        Trending Discussions on unidecode
        • How to customize unidecode?
        • ModuleNotFoundError: No module named 'airflow.providers.slack' Airflow 2.0 (MWAA)
        • Poetry | AttributeError 'Link' object has no attribute 'name'
        • How to activate Pygments in Pelican?
        • Turn this JSON into dataframe
        • How to install pyodbc on Dockerfile
        • Colab: (0) UNIMPLEMENTED: DNN library is not found
        • PyObjc error while trying to deploy flask app on Heroku
        • Why do I get NameError: name '_' is not defined when setting custom templates for djangocms-video?
        • Python cfn_tools module won't load in AWS CodeBuild running in AWS CodePipeline
        Trending Discussions on unidecode

        QUESTION

        How to customize unidecode?

        Asked 2022-Apr-14 at 17:25

        I'm using unidecode module for replacing utf-8 characters. However, there are some characters, for example greek letters and some symbols like Å, which I want to preserve. How can I achieve this?

        For example,

        from unidecode import unidecode
        test_str = 'α, Å ©'
        unidecode(test_str)
        

        gives the output a, A (c), while what I want is α, Å (c).

        ANSWER

        Answered 2022-Apr-14 at 17:25

        Run unidecode on each character individually. Have a whitelist set of characters that you use to bypass the unidecode.

        >>> import string
        >>> whitelist = set(string.printable + 'αÅ')
        >>> test_str = 'α, Å ©'
        >>> ''.join(ch if ch in whitelist else unidecode.unidecode(ch) for ch in test_str)
        'α, Å (c)'
        

        Source https://stackoverflow.com/questions/71872937

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

        Vulnerabilities

        No vulnerabilities reported

        Install unidecode

        You can download it from GitHub, Maven.
        You can use unidecode like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the unidecode component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

        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 .

        DOWNLOAD this Library from

        Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
        over 430 million Knowledge Items
        Find more libraries
        Reuse Solution Kits and Libraries Curated by Popular Use Cases
        Explore Kits

        Save this library and start creating your kit

        Explore Related Topics

        Share this Page

        share link
        Consider Popular Regex Libraries
        Try Top Libraries by xuender
        Compare Regex Libraries with Highest Support
        Compare Regex Libraries with Highest Quality
        Compare Regex Libraries with Highest Security
        Compare Regex Libraries with Permissive License
        Compare Regex Libraries with Highest Reuse
        Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
        over 430 million Knowledge Items
        Find more libraries
        Reuse Solution Kits and Libraries Curated by Popular Use Cases
        Explore Kits

        Save this library and start creating your kit

        • © 2022 Open Weaver Inc.