{ "info": { "author": "Ioannis Binietoglou", "author_email": "ioannis@inoe.ro", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2", "Topic :: Scientific/Engineering :: Atmospheric Science" ], "description": "EARLINET file reader\n====================\n\nThis package provides utilities to handle processed lidar data in one of EARLINET's NetCDF formats. Currently\nit supports low-temporal-resolution files from EARLINET's Single Calculus Chain pre-processor and files with\naerosol optical properties.\n\nInstallation\n------------\n\nYou can install the package using the ``pip`` command::\n\n pip install earlinet-reader\n\nYou can also install also directly from the `source code `_. You should extract the code in a folder (e.g. ``earlinet-reader``)\nand then run::\n\n pip install ./earlinet-reader\n\nCommand line interface for ELPP files\n-------------------------------------\n\nThe main way of using this package, is through the command line interface program called ``plotELPP``.\n\nThe usage of the ``plotELPP`` program is described bellow::\n\n usage: plotELPP [-h] [--vmin VMIN] [--vmax VMAX] [-v VARIABLE] [--log]\n [--normalize] [--normmin NORMMIN] [--normmax NORMMAX] [--grid]\n [--dpi DPI] [--errorevery ERROREVERY] [--html] [-d] [-s]\n file_patter [rmin] [rmax]\n\n Command line tool to plot lidar pre-processed files from the SCC's ELPP.\n\n positional arguments:\n file_patter The path to a file (possibly including glob patterns).\n rmin Minimum range to plot (in km)\n rmax Maximum range to plot (in km)\n\n optional arguments:\n -h, --help show this help message and exit\n --vmin VMIN Minimum variable value to plot\n --vmax VMAX Maximum variable value to plot\n -v VARIABLE, --variable VARIABLE\n Name of variable to plot\n --log Plot log10 values of variable.\n --normalize Normalize variables on molecular signal\n --normmin NORMMIN If nomralize is selected, the minimum altitude for\n normalization (in km).\n --normmax NORMMAX If nomralize is selected, the maximum altitude for\n normalization (in km).\n --grid Show grid on the plots\n --dpi DPI DPI of the output image\n --errorevery ERROREVERY\n Plot error bar only every x points.\n --html Create an HTML report.\n -d, --debug Print dubuging information.\n -s, --silent Show only warning and error messages.\n\nFor example, let's assume you want to plot the content of the file ``20170216oh00_584.nc``.\n\n* You can plot a single variable in the file using::\n\n plotELPP 20170216oh00_584.nc --variable elPR\n\n* You can specify the minimum and maxi,um range of the plots e.g. from 0 to 5 km::\n\n plotELPP 20170216oh00_584.nc 0 5 --variable elPR\n\n* You can tune few plotting parameters: turn the grid on and choose the output dpi::\n\n plotELPP 20170216oh00_584.nc --variable elPR --grid --dpi 200\n\n* If you omit the variable parameter, you can show all variables in the netCDF file on a single plot::\n\n plotELPP 20170216oh00_584.nc\n\n* You can see more info about the file by choosing the ``--html`` option::\n\n plotELPP 20170216oh00_584.nc --html\n\n* You can perform the above operations for multiple files at once using ``*`` and ``?`` as wildcards::\n\n plotELPP `20170216oh00_*.nc` --html\n\n\nCommand line interface for optical property files\n-------------------------------------------------\nYou can plot files containing aerosol optical properties usign the commnad ``plotoptical``. The usage is similar\nto the ``plotELPP`` program::\n\n usage: plotoptical [-h] [-v VARIABLE] [--grid] [--dpi DPI]\n [--errorevery ERROREVERY] [--html] [-d] [-s]\n file_patter [zmin] [zmax]\n\n Command line tool to plot lidar optical property files.\n\n positional arguments:\n file_patter The path to a file (possibly including glob patterns).\n zmin (optional) Minimum altitude asl to plot (in km)\n zmax (optional) Maximum altitude asl to plot (in km)\n\n optional arguments:\n -h, --help show this help message and exit\n -v VARIABLE, --variable VARIABLE\n Name of variable to plot\n --grid Show grid on the plots\n --dpi DPI DPI of the output image\n --errorevery ERROREVERY\n Plot error bar only every x points.\n --html Create an HTML report.\n -d, --debug Print dubuging information.\n -s, --silent Show only warning and error messages.\n\nReporting bugs\n--------------\nIf want to report a bug, ask for a new feature, or have an idea for an improvement fell free to contribute it through\nthe `bug tracking system `_.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://bitbucket.org/iannis_b/earlinet-reader/", "keywords": "lidar aerosol EARLINET", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "earlinet-reader", "package_url": "https://pypi.org/project/earlinet-reader/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/earlinet-reader/", "project_urls": { "Homepage": "https://bitbucket.org/iannis_b/earlinet-reader/" }, "release_url": "https://pypi.org/project/earlinet-reader/0.2.4/", "requires_dist": [ "numpy", "matplotlib", "sphinx", "jinja2", "netCDF4" ], "requires_python": "", "summary": "Package to read processed lidar data in the EARLINET NetCDF formats.", "version": "0.2.4" }, "last_serial": 2671847, "releases": { "0.1.2": [ { "comment_text": "", "digests": { "md5": "c1231c85b320ef4d4b2d993fbc0d4452", "sha256": "95df6d85aa68cb2e3af842f5b119f8ee482f38acdccc3da5343357674efb191c" }, "downloads": -1, "filename": "earlinet_reader-0.1.2-py2-none-any.whl", "has_sig": false, "md5_digest": "c1231c85b320ef4d4b2d993fbc0d4452", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 17418, "upload_time": "2017-02-20T15:51:32", "url": "https://files.pythonhosted.org/packages/c4/0a/719f866186c31e97e55cfc5e8de60f608e52c32f4b051b9aa40bc1db66b2/earlinet_reader-0.1.2-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "c22ea59f9764281b8de9a39bd65a6277", "sha256": "ac3c6531b57e4caecf35c019ce9639959a41489a9763982ab1fdb9ba26cb494c" }, "downloads": -1, "filename": "earlinet-reader-0.1.2.tar.gz", "has_sig": false, "md5_digest": "c22ea59f9764281b8de9a39bd65a6277", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 13085, "upload_time": "2017-02-20T15:51:34", "url": "https://files.pythonhosted.org/packages/d1/b5/769ffeca0b3117406aad03db12fe12d6eea6d09e9bdb3fed62be33422432/earlinet-reader-0.1.2.tar.gz" } ], "0.1.3": [ { "comment_text": "", "digests": { "md5": "5cf26e0a6595ec80cb9274900b9a3434", "sha256": "b63e96a1ba02099368b4632a6d69c36c9b9cfa87286a0cfac9df8b3830b3303c" }, "downloads": -1, "filename": "earlinet_reader-0.1.3-py2-none-any.whl", "has_sig": false, "md5_digest": "5cf26e0a6595ec80cb9274900b9a3434", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 17491, "upload_time": "2017-02-20T15:57:49", "url": "https://files.pythonhosted.org/packages/b3/93/78439cc408e9f1b15d90095b0aa1e925f9b06f46f0be1be8ab062bc57f39/earlinet_reader-0.1.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "55eac8a71585c048dc115347be860d01", "sha256": "9715a46330fc72114f75e171986dc8a7b831f2964a9e2ac4f97bd2f1278121c2" }, "downloads": -1, "filename": "earlinet-reader-0.1.3.tar.gz", "has_sig": false, "md5_digest": "55eac8a71585c048dc115347be860d01", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 13127, "upload_time": "2017-02-20T15:57:51", "url": "https://files.pythonhosted.org/packages/0c/49/1ca7421d50fb9e3523657924e26e71ae6aba1b9d31eb8dddfa430e367547/earlinet-reader-0.1.3.tar.gz" } ], "0.2.0": [ { "comment_text": "", "digests": { "md5": "7a64154fb4a9ca97509cf01aa723e8e0", "sha256": "49490387d6d7f345d9345d480bd139bded3731c5406de0c472cef33b9fbcc464" }, "downloads": -1, "filename": "earlinet_reader-0.2.0-py2-none-any.whl", "has_sig": false, "md5_digest": "7a64154fb4a9ca97509cf01aa723e8e0", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 26940, "upload_time": "2017-02-21T14:43:11", "url": "https://files.pythonhosted.org/packages/7f/62/d90ff25f715504f7801e7922f13ac4e0e96f6b6f72a97018864890b6afca/earlinet_reader-0.2.0-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "8f1b2e9f0e2cb9bf4690d2ddcb6cd2f8", "sha256": "4dd910478cbb8eb9696c0e0b5d3ceef28fb92977f21708ac468abf3e3f53b479" }, "downloads": -1, "filename": "earlinet-reader-0.2.0.tar.gz", "has_sig": false, "md5_digest": "8f1b2e9f0e2cb9bf4690d2ddcb6cd2f8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18178, "upload_time": "2017-02-21T14:43:13", "url": "https://files.pythonhosted.org/packages/27/cd/39d085f102025484c8e96d516f21c5e6f6e8ea5a76ab3855e0ca3b14997a/earlinet-reader-0.2.0.tar.gz" } ], "0.2.1": [ { "comment_text": "", "digests": { "md5": "12dc6423a45f447c601770272a11fdcb", "sha256": "c0f4df5b629d0f8b17feec67d02ce813fc634e982e38ff455b67ecb479fa9c5a" }, "downloads": -1, "filename": "earlinet_reader-0.2.1-py2-none-any.whl", "has_sig": false, "md5_digest": "12dc6423a45f447c601770272a11fdcb", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 27273, "upload_time": "2017-02-22T13:33:31", "url": "https://files.pythonhosted.org/packages/54/34/4451e42f0b7af1034899e3f16e640d9bf3a859952f13d30b825810e97f55/earlinet_reader-0.2.1-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "3b5ce0e4e4bb06b726f0c3a962224835", "sha256": "7f6688e3bee1006d49582566529140bcf525953240da7541a98eee65e0083c0b" }, "downloads": -1, "filename": "earlinet-reader-0.2.1.tar.gz", "has_sig": false, "md5_digest": "3b5ce0e4e4bb06b726f0c3a962224835", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18445, "upload_time": "2017-02-22T13:33:33", "url": "https://files.pythonhosted.org/packages/65/a7/71a355ba18f9c292b5cecc0ccbe4e4fa9c373a6aaed31928dfa963c0461c/earlinet-reader-0.2.1.tar.gz" } ], "0.2.3": [ { "comment_text": "", "digests": { "md5": "5e03f68a8f522333200f8627d226576d", "sha256": "aab7ab83f2aea8a67af6180eee585e574361834b76ae8e86b23034b09eb231e9" }, "downloads": -1, "filename": "earlinet_reader-0.2.3-py2-none-any.whl", "has_sig": false, "md5_digest": "5e03f68a8f522333200f8627d226576d", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 28091, "upload_time": "2017-02-24T09:07:46", "url": "https://files.pythonhosted.org/packages/59/e7/63e6d2c7530fb3fe3273ed3a75ce694848968c07730041310b76c6bd07e0/earlinet_reader-0.2.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "8492762ab0730a706386cc060054e417", "sha256": "50c2cb8580b445296192afdd57f1b30c4e9c8ad1632608f71f9a0002f5100a36" }, "downloads": -1, "filename": "earlinet-reader-0.2.3.tar.gz", "has_sig": false, "md5_digest": "8492762ab0730a706386cc060054e417", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19102, "upload_time": "2017-02-24T09:07:48", "url": "https://files.pythonhosted.org/packages/f7/9d/493801b4cc491dd5ce27cf8f6661260faf7089a1cb82189ff2b716609a34/earlinet-reader-0.2.3.tar.gz" } ], "0.2.4": [ { "comment_text": "", "digests": { "md5": "5b2759a545cc0d8596e80e1623dfbcdd", "sha256": "c0480b7d6dbfc33f0e9e7f8a5d3834e1b1f01cf18ffc4ee770f3e69688885388" }, "downloads": -1, "filename": "earlinet_reader-0.2.4-py2-none-any.whl", "has_sig": false, "md5_digest": "5b2759a545cc0d8596e80e1623dfbcdd", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 28193, "upload_time": "2017-02-27T21:51:31", "url": "https://files.pythonhosted.org/packages/37/b6/5a6e6d401e5289cd5766be20d4db484f68f4599792f51d1c2c153450c51b/earlinet_reader-0.2.4-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "83736f4f0d55a86448dc5f92ade19c7d", "sha256": "b77941eaf160882ec765c5ea32a94072b1cf5b3a15ee8402cc912e18bc86ce78" }, "downloads": -1, "filename": "earlinet-reader-0.2.4.tar.gz", "has_sig": false, "md5_digest": "83736f4f0d55a86448dc5f92ade19c7d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 20888, "upload_time": "2017-02-27T21:51:33", "url": "https://files.pythonhosted.org/packages/3b/ac/a77d49fafae4ce71232df4e92f8a9cd50890732d356a7fc8732f4b45d2aa/earlinet-reader-0.2.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "5b2759a545cc0d8596e80e1623dfbcdd", "sha256": "c0480b7d6dbfc33f0e9e7f8a5d3834e1b1f01cf18ffc4ee770f3e69688885388" }, "downloads": -1, "filename": "earlinet_reader-0.2.4-py2-none-any.whl", "has_sig": false, "md5_digest": "5b2759a545cc0d8596e80e1623dfbcdd", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 28193, "upload_time": "2017-02-27T21:51:31", "url": "https://files.pythonhosted.org/packages/37/b6/5a6e6d401e5289cd5766be20d4db484f68f4599792f51d1c2c153450c51b/earlinet_reader-0.2.4-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "83736f4f0d55a86448dc5f92ade19c7d", "sha256": "b77941eaf160882ec765c5ea32a94072b1cf5b3a15ee8402cc912e18bc86ce78" }, "downloads": -1, "filename": "earlinet-reader-0.2.4.tar.gz", "has_sig": false, "md5_digest": "83736f4f0d55a86448dc5f92ade19c7d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 20888, "upload_time": "2017-02-27T21:51:33", "url": "https://files.pythonhosted.org/packages/3b/ac/a77d49fafae4ce71232df4e92f8a9cd50890732d356a7fc8732f4b45d2aa/earlinet-reader-0.2.4.tar.gz" } ] }