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--- other:uvcdat:cdat_conda:cdat_8_2_1 [2021/03/03 15:39]
jypeter [Packages that have no dependency problems]
+++ other:uvcdat:cdat_conda:cdat_8_2_1 [2021/06/10 11:15]
jypeter [Extra packages list]
@@ Line 1: / Line 1: @@
-====== CDAT 8.2.1 installation notes ======
+====== Python distribution based on CDAT 8.2.1 notes ======
 [ [[.:index|Back to all versions]] ]
@@ Line 11: / Line 11: @@
 ===== Using JYP version =====
-If you mostly want to use the CDAT 8.2.1 installed by JYP, just use the following steps and then read the //What should I do now?// section below
+If you mostly want to use the **python distribution based on CDAT 8.2.1** installed by JYP, just use the following steps and then read the [[#what_should_i_do_now|What should I do now?]] section below
   * Initialize //conda// with:
@@ Line 23: / Line 23: @@
     * python 3.x: ''conda activate cdatm_py3''
-  * Type ''which python'' (or the ''wp'' alias) and make sure you get something like\\ ''[...]/miniconda3/envs/env_name/bin/python''
+  * Type ''which python'' (or the ''wp'' alias) and make sure you get something looking like
+    * ''[...]/miniconda3<possibly_some_version>/envs/<some_env_name>/bin/python''
+    * e.g. ''cdatm_py3'' environment at LSCE:\\ ''/home/share/unix_files/cdat/miniconda3_21-02/envs/cdatm_py3/bin/python''
@@ Line 40: / Line 42: @@
 ==== You want to replicate this installation on your own server or desktop/laptop ====
+Read the next sections of this web page
+There are some slight differences if you want to install this distribution:
+  * just for you. This is the usual case. Well, if you break something you can always remove everything and start from scratch
+  * for sharing a stable version with several other people
+The notes at the beginning of each section will tell you if you can skip the section if you are just installing for you
 ===== What's New in CDAT 8.2.1? =====
@@ Line 45: / Line 54: @@
   * Full [[https://uvcdat.llnl.gov/changelog.html#8.2.1|Change log]]
-Note: this particular CDAT installation at LSCE (and on other machines/servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#extra_packages_list|Extra package list]] at the bottom of this page to see what is available
+Note: this particular CDAT installation at LSCE (and on other machines/servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#extra_packages_list|Extra package list]] at the bottom of this page, if you want to see what is available
 ===== Installation with Miniconda3 =====
-We assume that Miniconda3 is already installed. Otherwise, follow the the [[other:uvcdat:cdat_conda:cdat_8_0_py2#installing_miniconda3|Installing Miniconda]] steps (and the //Post-Miniconda3 installation// section) we followed when installing CDAT 8.0
+==== Installing Miniconda3 ====
+If //Miniconda3// is not already installed, or if you want to start over with a brand new version, read [[other:uvcdat:cdat_conda:miniconda3_install|JYP steps for installing Miniconda3]].
-==== Updating conda ====
-The conda package itself can be updated (if need be) with\\ ''conda update -n base -c defaults conda''
 ==== Installing CDAT 8.2.1 ====
@@ Line 94: / Line 103: @@
 The installation line below is based on information from the [[https://github.com/CDAT/cdat/wiki/install#for-linux-python|CDAT wiki page]]. See also [[https://github.com/CDAT/cdat/issues/2265|Some questions and notes about 8.2.1 installation]]
+<code>
+bash-4.2$ conda config --env --add channels conda-forge
+bash-4.2$ conda config --set channel_priority strict
+bash-4.2$ cat .condarc
+channels:
+  - conda-forge
+  - defaults
+$ conda config --describe channel_priority
+$ conda create -n cdat-8.2.1_nompi_py3 -c conda-forge -c cdat/label/v8.2.1 cdat "libnetcdf=*=nompi_*" "mesalib=18.3.1" "python=3"</code>
 <code>$ conda create -n cdat-8.2.1_py3 -c conda-forge -c cdat/label/v8.2.1 cdat "libnetcdf=*=mpi_openmpi_*" "mesalib=18.3.1" "python=3"</code>
 Resulting list of installed packages
-  * ''conda list -n cdat-8.2.1_py3 > cdat_8.2.1_installed_packages.txt''
+  * ''conda list -n cdat-8.2.1_nompi_py3 > cdat_8.2.1_nompi_21-03-05.txt''
-  * {{ :other:uvcdat:cdat_conda:cdat_8.2.1_installed_packages.txt |}}
+  * no mpi: {{ :other:uvcdat:cdat_conda:cdat_8.2.1_nompi_21-03-05.txt |}}
+  * with mpî: {{ :other:uvcdat:cdat_conda:cdat_8.2.1_installed_packages.txt |}}
 [[https://github.com/CDAT/cdat/issues/2265|Some extra installation notes]]
@@ Line 165: / Line 185: @@
 </code>
-===== Customizing UV-CDAT for LSCE =====
+===== Customizing CDAT for LSCE =====
 ==== A quick test of cdms2 and vcs ====
@@ Line 196: / Line 216: @@
 ==== Packages that have no dependency problems ====
-After [[#cloning_the_base_cdat_environment_before_adding_specific_packages_for_lsce|cloning]], we are ready to install some extra packages that may be requested by LSCE users
+After [[#cloning_the_base_cdat_environment_before_adding_specific_packages_for_lsce|cloning]], we are ready to install some extra (e.g. not directly related to CDAT) packages that may be useful to LSCE users
-  * We first try to install together as many packages as possible that don't require other channels than //conda-forge//, and that don't request a downgrade of what is already installed
+  * We first install together as many packages as possible that don't require other channels than //conda-forge//, and that don't request a significant downgrade of what is already installed
-  * We then install individual extra packages with ''conda install'' or ''pip install''
+    * We use the //dry-run// option of conda in order to check the version (theoretically the latest) and origin (theoretically //conda-forge//) of the packages that would be installed. Or maybe the result will be that there are too many conflicts and the installation cannot proceed with the requested packages combination
+    * conda may take a very long time to report that there are too many conflicts and we have started using [[https://github.com/mamba-org/mamba|mamba]] that uses different solving libraries and is much (**much!**) faster than conda
+    * if the dry-run reports too many conflicts or requests too many downgrades, we try to remove some (not really important) packages and check if it works better
+      * the last resort is too create a new environment with a smaller set of packages if a user really needs a conflicting package
+  * We later install individual extra packages with ''conda install'', ''mamba install'' or ''pip install''
-<code># You can use the following to keep a trace of what will be installed
+=== Pre-installation check with the dry-run option ===
-#$ conda install --dry-run -n cdatm19_py3 -c conda-forge pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret basemap-data-hires xlsxwriter cmocean rpy2 gdal windspharm  > somewhere/extra_packages.txt
-# Install...
+<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
-$ conda install -n cdatm19_py3 -c conda-forge pillow pandas statsmodels seaborn scikit-image seawater gsw netcdf4 pyferret ferret_datasets basemap-data-hires xlsxwriter cmocean rpy2 gdal windspharm
-[...]
+[... lots of information about what would be done followed by some information about how long it took ...]
+  Summary:
+  Install: 167 packages
+  Downgrade: 3 packages
+  Total download: 474 MB
+DryRunExit: Dry run. Exiting.
+.31user 0.51system 0:11.45elapsed 77%CPU</code>
+=== 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>
+Resulting list of installed packages
+  * ''conda list -n cdatm19_nompi_py3 > cdatm19_nompi_py3_21-03-06.txt''
+  * no mpi: {{ :other:uvcdat:cdat_conda:cdatm19_nompi_py3_21-03-06.txt |}}
-# Use a similar install line if you want to install the same packages in the python3 version</code>
+=== Extra packages installed with pip ===
-List of installed packages: {{ :other:uvcdat:cdat_conda:lsce-extra_01_install_190304.txt |}}
-Packages installed with //pip//
   * [[https://earthsystemcog.org/projects/wip/CMIP6DataRequest|dreqPy]]: CMIP6 Data Request Python API
     * ''conda activate cdatm19_py3''\\ ''pip install dreqPy''
@@ Line 222: / Line 262: @@
     * ''conda activate cdatm19_py3''\\ ''pip install ferretmagic''
-The following packages have no dependency problems and were installed (or updated) //later//
+=== Packages with no dependency problems and were added (or updated) later ===
   * [[https://cmor.llnl.gov/|CMOR]]: CMOR (//Climate Model Output Rewriter//) is used to produce CF-compliant netCDF files
@@ Line 289: / Line 330: @@
 ===== Extra packages list =====
-  * [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork
+FIXME: need to clean the list below, and move the packages to the ordered list further down
-  * [[http://pandas.pydata.org/|pandas]]: Python Data Analysis Library
-  * [[http://statsmodels.sourceforge.net/|statsmodels]]: a Python module that allows users to explore data, estimate statistical models, and perform statistical tests
-  * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization
-  * [[http://scikit-image.org/|scikit-image]]: image processing in Python
-  * [[http://pythonhosted.org/seawater/|seawater]]: Python re-write of the CSIRO seawater toolbox
-  * [[https://pypi.python.org/pypi/gsw/|gsw]]: Python implementation of the Thermodynamic Equation Of Seawater
-  * [[http://www.ifremer.fr/vacumm/|vacumm]]: Validation, Analysis, Comparison - Utilities written in Python to validate and analyze Multi-Model outputs, and compare them to observations
   * [[http://unidata.github.io/netcdf4-python/|netcdf4]]: a Python interface to the netCDF C library
-  * [[http://ferret.pmel.noaa.gov/Ferret/documentation/pyferret|pyferret]]: Ferret encapsulated in Python
   * [[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''
@@ Line 309: / Line 343: @@
   * [[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://scitools.org.uk/cartopy/|cartopy]]: a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses
-  * [[https://rpy2.readthedocs.io/en/version_2.8.x/|rpy2]]: providing simple and robust access to R from within Python
-  * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography
-  * [[http://www.gdal.org/|OSGeo/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://github.com/stefraynaud/spanlib|spanlib]]: Spectral Analysis Library
   * [[https://ajdawson.github.io/windspharm/latest/|windspharm]]: spherical harmonic wind analysis in Python
   * [[https://climaf.readthedocs.io/en/latest/|CliMAF]]: a Climate Model Assessment Framework
+<WRAP center round tip 60%>
+The extra packages below are (more or less) listed in package name alphabetical order. These are the extra packages that we explicitly installed, but there are many more packages installed (e.g. {{ :other:uvcdat:cdat_conda:cdatm19_nompi_py3_21-03-06.txt |}})!
+Initialize the environment and type ''conda list'' if you need an up-to-date list, including the packages' version and where they came from (conda-forge for most packages
+</WRAP>
+  * [[https://github.com/Try2Code/cdo-bindings|python-cdo]]: Python scripting interface of [[https://code.mpimet.mpg.de/projects/cdo/wiki/Cdo#Documentation|cdo]]
+    * ''python-cdo'' will install the ''cdo'' package (providing the ''cdo ''executable) as a dependency
+    * see also [[https://code.mpimet.mpg.de/projects/cdo/wiki/Cdo%7Brbpy%7D|Using CDO from python or ruby]]
+  * [[http://matplotlib.org/cmocean/|cmocean]]: beautiful colormaps for oceanography
+  * [[http://ferret.pmel.noaa.gov/Ferret/documentation/pyferret|pyferret]] and ''ferret_datasets'': Ferret encapsulated in Python
+  * 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://github.com/TEOS-10/GSW-python|gsw]]: Python implementation of the Thermodynamic Equation Of Seawater
+    * see also //seawater//
   * [[https://joblib.readthedocs.io/en/latest/|joblib]]: running Python functions as pipeline jobs
+  * [[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
+  * [[http://pandas.pydata.org/|pandas]]: Python Data Analysis Library
+    * [[https://geopandas.org/|geopandas]]: an open source project to make working with geospatial data in python easier
+  * [[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://proplot.readthedocs.io/en/latest/|proplot]]: a lightweight **matplotlib wrapper** for making beautiful, publication-quality graphics
+  * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process
+  * [[http://scikit-image.org/|scikit-image]]: image processing in Python
+  * [[https://scikit-learn.org/stable/index.html|scikit-learn]]: Machine Learning in Python
+  * [[https://seaborn.pydata.org/|seaborn]]: statistical data visualization
+  * [[http://pythonhosted.org/seawater/|seawater]]: Python re-write of the CSIRO seawater toolbox
+    * see also //gsw//
+  * [[http://statsmodels.sourceforge.net/|statsmodels]]: a Python module that allows users to explore data, estimate statistical models, and perform statistical tests
+  * [[https://xoa.readthedocs.io/en/latest/|xoa]]: xarray-based ocean analysis library
+    * ''xoa'' is the successor of [[http://www.ifremer.fr/vacumm/|vacumm]] (vacumm does **not** support Python3)
 ==== Removed packages ====
@@ Line 323: / Line 384: @@
   * NO removed packages!
+==== Packages NOT supported in Python3 ====
+  * [[https://github.com/stefraynaud/spanlib|spanlib]]: Spectral Analysis Library
+  * [[http://www.ifremer.fr/vacumm/|vacumm]]: Validation, Analysis, Comparison - Utilities written in Python to validate and analyze Multi-Model outputs, and compare them to observations
+    * Check the ''xoa'' replacement package
 ===== Environments summary =====

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