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| other:uvcdat:cdat_conda:cdat_8_2_1 [2022/03/25 10:01] – [Extra packages list] Added nccmp jypeter | other:uvcdat:cdat_conda:cdat_8_2_1 [2022/08/02 11:12] – [Extra packages list] Added pooch and requests jypeter |
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| dreqPy version 01.00.29 [Version 01.00.29]</code> | dreqPy version 01.00.29 [Version 01.00.29]</code> |
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| * [[https://github.com/PBrockmann/ipython_ferretmagic|ipython_ferretmagic]]: IPython notebook extension for ferret | * ''ipython_ferretmagic'': more details in the [[#extra_packages_list|Extra packages list section]] |
| * ''conda activate cdatm19_py3''\\ ''pip install ferretmagic'' | |
| |
| === Packages with no dependency problems and were added (or updated) later === | === Packages with no dependency problems and were added (or updated) later === |
| |
| * [[http://unidata.github.io/netcdf4-python/|netcdf4]]: a Python interface to the netCDF C library | * [[http://unidata.github.io/netcdf4-python/|netcdf4]]: a Python interface to the netCDF C library |
| * [[https://github.com/PBrockmann/ipython_ferretmagic|ipython_ferretmagic]]: IPython notebook extension for ferret | |
| * [[https://github.com/PCMDI/pcmdi_metrics|PCMDI metrics package]] (PMP): objectively compare results from climate models with observations using well-established statistical tests | * [[https://github.com/PCMDI/pcmdi_metrics|PCMDI metrics package]] (PMP): objectively compare results from climate models with observations using well-established statistical tests |
| * [[https://xlsxwriter.readthedocs.io/|XlsxWriter]]: a Python module for creating Excel XLSX files | * [[https://xlsxwriter.readthedocs.io/|XlsxWriter]]: a Python module for creating Excel XLSX files |
| * the colormaps are also available in [[https://jiffyclub.github.io/palettable/scientific/|palettable.scientific]] | * the colormaps are also available in [[https://jiffyclub.github.io/palettable/scientific/|palettable.scientific]] |
| * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography ''[color]'' | * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography ''[color]'' |
| | * [[https://dash.plotly.com/|dash]] and [[https://github.com/plotly/jupyter-dash|jupyter-dash]]: the original low-code framework for rapidly building data apps in Python, R, Julia, and F# |
| | * see also ''plotly'' |
| * [[https://dynamictimewarping.github.io/|python-dtw]]: implementation of Dynamic Time Warping-type (DTW) | * [[https://dynamictimewarping.github.io/|python-dtw]]: implementation of Dynamic Time Warping-type (DTW) |
| * Note: older installations provided [[https://github.com/pierre-rouanet/dtw|dtw]]: DTW (Dynamic Time Warping) python module | * Note: older installations provided [[https://github.com/pierre-rouanet/dtw|dtw]]: DTW (Dynamic Time Warping) python module |
| * not installed yet (March 2022) because it required download of 302 Mb extra packages and a downgrade of gdal | * not installed yet (March 2022) because it required download of 302 Mb extra packages and a downgrade of gdal |
| * [[http://ferret.pmel.noaa.gov/Ferret/documentation/pyferret|pyferret]] and ''ferret_datasets'': Ferret encapsulated in Python | * [[http://ferret.pmel.noaa.gov/Ferret/documentation/pyferret|pyferret]] and ''ferret_datasets'': Ferret encapsulated in Python |
| | * [[https://github.com/PBrockmann/ipython_ferretmagic|ipython_ferretmagic]]: IPython notebook extension for ferret |
| | * Install with: ''pip install ferretmagic'' |
| * OSGeo/[[http://www.gdal.org/|gdal]]: Geospatial Data Abstraction Library. GDAL is a translator library for raster and vector geospatial data formats | * OSGeo/[[http://www.gdal.org/|gdal]]: Geospatial Data Abstraction Library. GDAL is a translator library for raster and vector geospatial data formats |
| * [[https://pcjericks.github.io/py-gdalogr-cookbook/|Python GDAL/OGR Cookbook]] | * [[https://pcjericks.github.io/py-gdalogr-cookbook/|Python GDAL/OGR Cookbook]] |
| * [[https://intake.readthedocs.io/|intake]]: a lightweight package for finding, investigating, loading and disseminating data | * [[https://intake.readthedocs.io/|intake]]: a lightweight package for finding, investigating, loading and disseminating data |
| * [[https://intake-esm.readthedocs.io/|intake-esm]]: data cataloging utility built on top of intake, pandas, and xarray | * [[https://intake-esm.readthedocs.io/|intake-esm]]: data cataloging utility built on top of intake, pandas, and xarray |
| | * [[https://ipywidgets.readthedocs.io/|ipywidgets]]: ipywidgets, also known as jupyter-widgets or simply widgets, are interactive HTML widgets for Jupyter notebooks and the IPython kernel |
| * [[https://scitools-iris.readthedocs.io/en/stable/|iris]]: a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data | * [[https://scitools-iris.readthedocs.io/en/stable/|iris]]: a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data |
| * see also ''cartopy'' | * see also ''cartopy'' |
| * install sample data with ''conda install -c conda-forge iris-sample-data'' | * install sample data with ''conda install -c conda-forge iris-sample-data'' |
| * [[https://joblib.readthedocs.io/en/latest/|joblib]]: running Python functions as pipeline jobs | * [[https://joblib.readthedocs.io/en/latest/|joblib]]: running Python functions as pipeline jobs |
| | * [[https://jupyterlab.readthedocs.io/|jupyterlab]]: the next-generation web-based user interface for Project Jupyter |
| | * [[https://github.com/plotly/Kaleido|python-kaleido]]: a cross-platform library for generating static images (e.g. png, svg, pdf, etc.) for web-based visualization libraries, |
| * [[https://gitlab.com/remikz/nccmp|nccmp]]: compare two NetCDF files bitwise, semantically or with a user defined tolerance (absolute or relative percentage) | * [[https://gitlab.com/remikz/nccmp|nccmp]]: compare two NetCDF files bitwise, semantically or with a user defined tolerance (absolute or relative percentage) |
| * can probably also be done with [[https://code.mpimet.mpg.de/projects/cdo/embedded/index.html#x1-580002.1.3|cdo diff]] | * can probably also be done with [[https://code.mpimet.mpg.de/projects/cdo/embedded/index.html#x1-580002.1.3|cdo -v diffn file1.nc file2.nc]] |
| * [[https://opencv.org/|OpenCV]]: OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms. See also [[https://www.geeksforgeeks.org/opencv-python-tutorial/|OpenCV Python Tutorial]] and **scikit-image** | * [[https://opencv.org/|OpenCV]]: OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms. See also [[https://www.geeksforgeeks.org/opencv-python-tutorial/|OpenCV Python Tutorial]] and **scikit-image** |
| * [[https://jiffyclub.github.io/palettable/|Palettable]]: Color palettes for Python ''[color]'' | * [[https://jiffyclub.github.io/palettable/|Palettable]]: Color palettes for Python ''[color]'' |
| * [[https://peakutils.readthedocs.io/|PeakUtils]]: utilities related to the detection of peaks on 1D data | * [[https://peakutils.readthedocs.io/|PeakUtils]]: utilities related to the detection of peaks on 1D data |
| * [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork | * [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork |
| | * [[https://plotly.com/python/|plotly]]: Plotly's Python graphing library (sometimes referred to as //plotly.py//) makes interactive, publication-quality graphs |
| | * see also ''python-kaleido'' and ''dash'' |
| | * [[https://www.fatiando.org/pooch/|pooch]]: a friend to fetch your data files (makes it easy to download a file, without messing with ''requests'' and ''urllib'') |
| * [[https://proplot.readthedocs.io/en/latest/|proplot]]: a lightweight **matplotlib wrapper** for making beautiful, publication-quality graphics | * [[https://proplot.readthedocs.io/en/latest/|proplot]]: a lightweight **matplotlib wrapper** for making beautiful, publication-quality graphics |
| * [[https://github.com/jswhit/pygrib|pygrib]]: high-level interface to the ECWMF ECCODES C library for reading GRIB files | * [[https://github.com/jswhit/pygrib|pygrib]]: high-level interface to the ECWMF ECCODES C library for reading GRIB files |
| * [[https://pyleoclim-util.readthedocs.io/|pyleoclim]]: a Python package designed for the analysis of paleoclimate data | * [[https://pyleoclim-util.readthedocs.io/|pyleoclim]]: a Python package designed for the analysis of paleoclimate data |
| * **Wait** till it can be installed with ''conda'' ([[https://github.com/LinkedEarth/Pyleoclim_util/discussions/205|Why I'm not installing Pyleoclim yet]]) | * **Wait** till it can be installed with ''conda'' ([[https://github.com/LinkedEarth/Pyleoclim_util/discussions/205|Why I'm not installing Pyleoclim yet]]) |
| | * [[https://requests.readthedocs.io/|requests]]: is an elegant and simple HTTP library for Python, built for human beings |
| | * See also ''pooch'' |
| * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process | * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process |
| * [[http://scikit-image.org/|scikit-image]]: a collection of algorithms for image processing in Python | * [[http://scikit-image.org/|scikit-image]]: a collection of algorithms for image processing in Python |
| * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization | * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization |
| * [[http://pythonhosted.org/seawater/|seawater]]: Python re-write of the CSIRO seawater toolbox | * [[http://pythonhosted.org/seawater/|seawater]]: Python re-write of the CSIRO seawater toolbox |
| * see also //gsw// | * see also ''gsw'' |
| * [[https://www.statsmodels.org/|statsmodels]]: a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. | * [[https://www.statsmodels.org/|statsmodels]]: a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. |
| * [[https://github.com/SatAgro/suntime|suntime]]: simple sunset and sunrise time calculation python library | * [[https://github.com/SatAgro/suntime|suntime]]: simple sunset and sunrise time calculation python library |
