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other:uvcdat:cdat_conda:cdat_8_2_1 [2021/12/13 10:12]
jypeter [Extra packages list] Added clustergram
other:uvcdat:cdat_conda:cdat_8_2_1 [2022/02/25 10:10]
jypeter [Extra packages list] Added suntime
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 === Pre-installation check with the dry-run option === === Pre-installation check with the dry-run option ===
  
-<​code>/​usr/​bin/​time mamba install -n cdatm19_nompi_py3 --dry-run -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal geopandas glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter+<​code>/​usr/​bin/​time mamba install -n cdatm19_nompi_py3 --dry-run -c conda-forge basemap ​basemap-data ​basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal geopandas glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter
  
 [... lots of information about what would be done followed by some information about how long it took ...] [... lots of information about what would be done followed by some information about how long it took ...]
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 === Actual installation === === Actual installation ===
  
-<​code>/​usr/​bin/​time mamba install -n cdatm19_nompi_py3 -c conda-forge basemap basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal geopandas glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter</​code>​+<​code>/​usr/​bin/​time mamba install -n cdatm19_nompi_py3 -c conda-forge basemap ​basemap-data ​basemap-data-hires cartopy cmocean cmor ferret_datasets gdal gdal geopandas glances gsw iris joblib netcdf4 palettable pandas pillow pyferret rpy2 scikit-image scikit-learn seaborn seawater shapely spyder statsmodels windspharm wrf-python xarray xlsxwriter</​code>​
  
 Resulting list of installed packages Resulting list of installed packages
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   * [[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/​PBrockmann/​ipython_ferretmagic|ipython_ferretmagic]]:​ IPython notebook extension for ferret
-  * [[https://​github.com/​conda-forge/​basemap-data-hires-feedstock|basemap-data-hires]]:​ high resolution data for ''​basemap''​ 
   * [[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
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   * [[https://​earthsystemcog.org/​projects/​wip/​CMIP6DataRequest|dreqPy]]:​ CMIP6 Data Request Python API   * [[https://​earthsystemcog.org/​projects/​wip/​CMIP6DataRequest|dreqPy]]:​ CMIP6 Data Request Python API
   * [[https://​cmor.llnl.gov/​|CMOR]]: ​ CMOR (//Climate Model Output Rewriter//) is used to produce CF-compliant netCDF files   * [[https://​cmor.llnl.gov/​|CMOR]]: ​ CMOR (//Climate Model Output Rewriter//) is used to produce CF-compliant netCDF files
-  * [[https://​github.com/​pierre-rouanet/​dtw|dtw]]:​ DTW (Dynamic Time Warping) python module 
   * [[http://​toblerity.org/​shapely/​project.html|shapely]]:​ a Python wrapper for GEOS for algebraic manipulation of geometry (manipulation and analysis of geometric objects in the Cartesian plane)   * [[http://​toblerity.org/​shapely/​project.html|shapely]]:​ a Python wrapper for GEOS for algebraic manipulation of geometry (manipulation and analysis of geometric objects in the Cartesian plane)
   * [[https://​ajdawson.github.io/​windspharm/​latest/​|windspharm]]:​ spherical harmonic wind analysis in Python   * [[https://​ajdawson.github.io/​windspharm/​latest/​|windspharm]]:​ spherical harmonic wind analysis in Python
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 +  * [[https://​matplotlib.org/​basemap/​|basemap]]:​ a library for plotting 2D data on maps in Python
 +    * [[missing|basemap-data]] and [[https://​github.com/​conda-forge/​basemap-data-hires-feedstock|basemap-data-hires]]:​ (high resolution) data for ''​basemap''​
   * [[http://​scitools.org.uk/​cartopy/​|cartopy]]:​ a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses   * [[http://​scitools.org.uk/​cartopy/​|cartopy]]:​ a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses
     * see also ''​iris''​     * see also ''​iris''​
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     * 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://​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
   * [[https://​confluence.ecmwf.int/​display/​ECC/​|ecCodes]]:​ ecCodes is a package developed by ECMWF which provides an application programming interface and a set of tools for decoding and encoding GRIB and BUFR messages   * [[https://​confluence.ecmwf.int/​display/​ECC/​|ecCodes]]:​ ecCodes is a package developed by ECMWF which provides an application programming interface and a set of tools for decoding and encoding GRIB and BUFR messages
     * need to install ''​eccodes''​ and ''​python-eccodes''​ ([[https://​github.com/​ecmwf/​eccodes-python/​issues/​56|details]])     * need to install ''​eccodes''​ and ''​python-eccodes''​ ([[https://​github.com/​ecmwf/​eccodes-python/​issues/​56|details]])
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   * [[https://​github.com/​TEOS-10/​GSW-python|gsw]]:​ Python implementation of the Thermodynamic Equation Of Seawater   * [[https://​github.com/​TEOS-10/​GSW-python|gsw]]:​ Python implementation of the Thermodynamic Equation Of Seawater
     * see also //​seawater//​     * see also //​seawater//​
 +  * [[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://​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''​
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     * 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
 +    * **Warning**:​ not available in conda, use ''​pip install suntime''​
   * [[https://​www.tensorflow.org/​|tensorflow-mkl]]:​ an end-to-end open source machine learning platform ​   * [[https://​www.tensorflow.org/​|tensorflow-mkl]]:​ an end-to-end open source machine learning platform ​
     * [[https://​anaconda.org/​anaconda/​tensorflow-mkl|tensorflow-mkl]] will install the **CPU**-based (**not GPU**) version     * [[https://​anaconda.org/​anaconda/​tensorflow-mkl|tensorflow-mkl]] will install the **CPU**-based (**not GPU**) version
other/uvcdat/cdat_conda/cdat_8_2_1.txt · Last modified: 2024/03/07 16:49 by jypeter