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<h1 class="logo"><a href="#">cf 3.20.0</a></h1>
<p class="blurb">A CF-compliant earth science data analysis library</p>
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cf development has been supported by
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<section id="cf-python-package">
<span id="cf-python-home"></span><h1><strong>cf python package</strong><a class="headerlink" href="#cf-python-package" title="Link to this heading">¶</a></h1>
<hr class="docutils" />
<style> .red {color:red} </style><style> .blue {color:blue} </style><style> .small {font-size:small} </style><section id="introduction">
<h2><strong>Introduction</strong><a class="headerlink" href="#introduction" title="Link to this heading">¶</a></h2>
<hr class="docutils" />
<p>Version 3.20.0 for version 1.13 of the CF conventions.</p>
<p>The Python <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf</span></code> package is an Earth Science data analysis library that
is built on a complete implementation of the <a class="reference internal" href="introduction.html#cf-data-model"><span class="std std-ref">CF data model</span></a>.</p>
<nav class="contents local" id="contents">
<ul class="simple">
<li><p><a class="reference internal" href="#functionality" id="id6"><strong>Functionality</strong></a></p></li>
<li><p><a class="reference internal" href="#visualisation" id="id7"><strong>Visualisation</strong></a></p></li>
<li><p><a class="reference internal" href="#training" id="id8"><strong>Training</strong></a></p></li>
<li><p><a class="reference internal" href="#performance" id="id9"><strong>Performance</strong></a></p></li>
<li><p><a class="reference internal" href="#command-line-utilities" id="id10"><strong>Command line utilities</strong></a></p></li>
<li><p><a class="reference internal" href="#cf-data-model" id="id11"><strong>CF data model</strong></a></p></li>
<li><p><a class="reference internal" href="#references" id="id12"><strong>References</strong></a></p></li>
</ul>
</nav>
<section id="functionality">
<h3><a class="toc-backref" href="#id6" role="doc-backlink"><strong>Functionality</strong></a><a class="headerlink" href="#functionality" title="Link to this heading">¶</a></h3>
<a class="reference external image-reference" href="https://doi.org/10.5281/zenodo.14274886"><img alt="https://zenodo.org/badge/DOI/10.5281/zenodo.14274886.svg" src="https://zenodo.org/badge/DOI/10.5281/zenodo.14274886.svg" /></a>
<p>The <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf</span></code> package implements the <a class="reference internal" href="introduction.html#cf-data-model"><span class="std std-ref">CF data model</span></a> for its internal
data structures and so is able to process any CF-compliant dataset. It
is not strict about CF-compliance, however, so that partially
conformant datasets may be ingested from existing datasets and written
to new datasets.This is so that datasets that are partially conformant
may nonetheless be modified in memory.</p>
<div class="literal-block-wrapper docutils container" id="id3">
<div class="code-block-caption"><span class="caption-text"><em>A basic example of reading a field construct from a
file and inspecting it.</em></span><a class="headerlink" href="#id3" title="Link to this code">¶</a></div>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">cf</span>
<span class="gp">>>> </span><span class="n">f</span> <span class="o">=</span> <span class="n">cf</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">'file.nc'</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">f</span>
<span class="go">[<CF Field: air_temperature(time(12), latitude(64), longitude(128)) K>]</span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="go">Field: air_temperature (ncvar%tas)</span>
<span class="go">----------------------------------</span>
<span class="go">Data : air_temperature(time(12), latitude(64), longitude(128)) K</span>
<span class="go">Cell methods : time(12): mean (interval: 1.0 month)</span>
<span class="go">Dimension coords: time(12) = [1991-11-16 00:00:00, ..., 1991-10-16 12:00:00] noleap</span>
<span class="go"> : latitude(64) = [-87.8638, ..., 87.8638] degrees_north</span>
<span class="go"> : longitude(128) = [0.0, ..., 357.1875] degrees_east</span>
<span class="go"> : height(1) = [2.0] m</span>
</pre></div>
</div>
</div>
<p>The <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf</span></code> package can:</p>
<ul class="simple">
<li><p>read <a class="reference internal" href="introduction.html#term-field-construct"><span class="xref std std-term">field constructs</span></a> and <a class="reference internal" href="introduction.html#term-domain-construct"><span class="xref std std-term">domain
constructs</span></a> from netCDF, CDL, Zarr, Kerchunk, PP
and UM datasets with a choice of netCDF backends,</p></li>
<li><p>read files from OPeNDAP servers and S3 object stores,</p></li>
<li><p>be fully flexible with respect to dataset chunking,</p></li>
<li><p>create new field constructs in memory,</p></li>
<li><p>write and append field and domain constructs to netCDF and Zarr
v3 datasets on disk, with control over HDF5 internal file metadata,</p></li>
<li><p>read, write, and manipulate UGRID mesh topologies,</p></li>
<li><p>read, write, and manipulate HEALPix grids,</p></li>
<li><p>read, write, and create coordinates defined by geometry cells,</p></li>
<li><p>read netCDF and CDL datasets containing hierarchical groups,</p></li>
<li><p>inspect field constructs,</p></li>
<li><p>test whether two field constructs are the same,</p></li>
<li><p>modify field construct metadata and data,</p></li>
<li><p>create subspaces of field constructs,</p></li>
<li><p>incorporate, and create, metadata stored in external files,</p></li>
<li><p>read, write, and create data that have been compressed by convention
(i.e. ragged or gathered arrays, or coordinate arrays compressed by
subsampling), whilst presenting a view of the data in its
uncompressed form,</p></li>
<li><p>combine field constructs arithmetically,</p></li>
<li><p>manipulate field construct data by arithmetical and trigonometrical
operations,</p></li>
<li><p>perform weighted statistical collapses on field constructs,
including those with geometry cells, UGRID mesh topologies, and
HEALPix grids,</p></li>
<li><p>perform histogram, percentile and binning operations on field
constructs,</p></li>
<li><p>regrid structured grid, UGRID, HEALPix, and DSG field constructs
with (multi-)linear, nearest neighbour, first- and second-order
conservative and higher order patch recovery methods, including 3-d
regridding, and large-grid support,</p></li>
<li><p>apply convolution filters to field constructs,</p></li>
<li><p>create running means from field constructs,</p></li>
<li><p>apply differential operators to field constructs,</p></li>
<li><p>create derived quantities (such as relative vorticity),</p></li>
<li><p>read and write data that are quantized to eliminate false
precision.</p></li>
</ul>
</section>
<hr class="docutils" />
<section id="visualisation">
<h3><a class="toc-backref" href="#id7" role="doc-backlink"><strong>Visualisation</strong></a><a class="headerlink" href="#visualisation" title="Link to this heading">¶</a></h3>
<p>Powerful, flexible, and user-friendly visualisations of field
constructs are available with the <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf-plot</span></code> package that is installed
separately to <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf</span></code> (see the
<a class="reference external" href="https://ncas-cms.github.io/cf-plot/build/">cf-plot documentation</a> for details).</p>
<p>See the <a class="reference external" href="https://ncas-cms.github.io/cf-plot/gallery_of_examples.html">cf-plot gallery</a> for the wide range
of plotting possibilities with example code.</p>
<figure class="align-default" id="id4">
<img alt="_images/new_gallery_view.png" src="_images/new_gallery_view.png" />
<figcaption>
<p><span class="caption-text"><em>Examples gallery of plots made with the cf-plot library.</em></span><a class="headerlink" href="#id4" title="Link to this image">¶</a></p>
</figcaption>
</figure>
</section>
<hr class="docutils" />
<section id="training">
<h3><a class="toc-backref" href="#id8" role="doc-backlink"><strong>Training</strong></a><a class="headerlink" href="#training" title="Link to this heading">¶</a></h3>
<p>Training material on cf-python and cf-plot i.e. the CF Data Tools,
in the form of Jupyter Notebooks, is openly-accessible and available
(with instructions for set-up provided) at:
<a class="reference external" href="https://github.com/NCAS-CMS/cf-tools-training">https://github.com/NCAS-CMS/cf-tools-training</a>.</p>
</section>
<hr class="docutils" />
<section id="performance">
<h3><a class="toc-backref" href="#id9" role="doc-backlink"><strong>Performance</strong></a><a class="headerlink" href="#performance" title="Link to this heading">¶</a></h3>
<p>The <code class="xref py py-obj docutils literal notranslate"><span class="pre">cf</span></code> package uses <a class="reference internal" href="performance.html#performance"><span class="std std-ref">Dask</span></a> for all of its data
manipulations, which provides lazy, parallelised, and out-of-core
computations of array operations.</p>
</section>
<hr class="docutils" />
<section id="command-line-utilities">
<h3><a class="toc-backref" href="#id10" role="doc-backlink"><strong>Command line utilities</strong></a><a class="headerlink" href="#command-line-utilities" title="Link to this heading">¶</a></h3>
<p>During installation the <code class="docutils literal notranslate"><span class="pre">cfa</span></code> command line utility is also
installed, which</p>
<ul class="simple">
<li><p>generates text descriptions of field constructs contained in files,
and</p></li>
<li><p>creates new datasets aggregated from existing files.</p></li>
</ul>
<hr class="docutils" />
</section>
<section id="cf-data-model">
<span id="id1"></span><h3><a class="toc-backref" href="#id11" role="doc-backlink"><strong>CF data model</strong></a><a class="headerlink" href="#cf-data-model" title="Link to this heading">¶</a></h3>
<p>The CF (Climate and Forecast) metadata conventions
(<a class="reference external" href="http://cfconventions.org">http://cfconventions.org</a>) provide a description of the physical
meaning of data and of their spatial and temporal properties and are
designed to promote the creation, processing, and sharing of climate
and forecasting data using netCDF files and libraries
(<a class="reference external" href="https://www.unidata.ucar.edu/software/netcdf">https://www.unidata.ucar.edu/software/netcdf</a>).</p>
<p><a class="reference external" href="https://cfconventions.org/cf-conventions/cf-conventions.html#appendix-CF-data-model">The CF data model</a>
identifies the fundamental elements (“constructs”) of the CF
conventions and shows how they relate to each other, independently of
the netCDF encoding.</p>
<p>The CF data model defines a <strong>field construct</strong> for storing data with
all of its metadata. It is defined in CF-1.13 as follows:</p>
<dl class="glossary">
<dt id="term-field-construct">field construct<a class="headerlink" href="#term-field-construct" title="Link to this term">¶</a></dt><dd><p>corresponds to a CF-netCDF data variable with all of its
metadata. It consists of</p>
<ul>
<li><p>descriptive properties that apply to field construct as a whole
(e.g. the standard name),</p></li>
<li><p>a data array,</p></li>
<li><p>a <strong>domain construct</strong> that describes the locations of each cell
of the data array (i.e. the “domain”),</p></li>
<li><p><strong>metadata constructs</strong> that describe the physical nature of the
data array, defined by</p>
<dl class="simple glossary">
<dt id="term-field-ancillary-constructs">field ancillary constructs<a class="headerlink" href="#term-field-ancillary-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF ancillary variables</p>
</dd>
<dt id="term-cell-method-constructs">cell method constructs<a class="headerlink" href="#term-cell-method-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to a CF-netCDF cell_methods attribute of data
variable</p>
</dd>
</dl>
</li>
</ul>
</dd>
<dt id="term-domain-construct">domain construct<a class="headerlink" href="#term-domain-construct" title="Link to this term">¶</a></dt><dd><p>that describes the locations of each cell of the domain. It may
exist independently of a <strong>field construct</strong> and consists of</p>
<ul class="simple">
<li><p>descriptive properties that apply to domain construct as a whole,</p></li>
<li><p><strong>metadata constructs</strong> that describe the locations of each cell
of the domain, defined by</p></li>
</ul>
<dl class="simple glossary">
<dt id="term-domain-axis-constructs">domain axis constructs<a class="headerlink" href="#term-domain-axis-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF dimensions or scalar coordinate
variables</p>
</dd>
<dt id="term-dimension-coordinate-constructs">dimension coordinate constructs<a class="headerlink" href="#term-dimension-coordinate-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF coordinate variables or numeric
scalar coordinate variables</p>
</dd>
<dt id="term-auxiliary-coordinate-constructs">auxiliary coordinate constructs<a class="headerlink" href="#term-auxiliary-coordinate-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF auxiliary coordinate variables and
non-numeric scalar coordinate variables</p>
</dd>
<dt id="term-coordinate-reference-constructs">coordinate reference constructs<a class="headerlink" href="#term-coordinate-reference-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF grid mapping variables or the
formula_terms attribute of a coordinate variable</p>
</dd>
<dt id="term-domain-ancillary-constructs">domain ancillary constructs<a class="headerlink" href="#term-domain-ancillary-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF variables named by the
formula_terms attribute of a coordinate variable</p>
</dd>
<dt id="term-cell-measure-constructs">cell measure constructs<a class="headerlink" href="#term-cell-measure-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF cell measure variables</p>
</dd>
<dt id="term-domain-topology-constructs">domain topology constructs<a class="headerlink" href="#term-domain-topology-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF UGRID mesh topology variables</p>
</dd>
<dt id="term-cell-connectivity-constructs">cell connectivity constructs<a class="headerlink" href="#term-cell-connectivity-constructs" title="Link to this term">¶</a></dt><dd><p>corresponding to CF-netCDF UGRID connectivity variables</p>
</dd>
</dl>
</dd>
</dl>
<div class="line-block">
<div class="line"><br /></div>
</div>
<figure class="align-default" id="id5">
<img alt="_images/cfdm_field.svg" src="_images/cfdm_field.svg" /><figcaption>
<p><span class="caption-text"><em>The constructs of the CF data model described using UML. The field construct corresponds to a CF-netCDF data variable. The domain construct provides the linkage between the field construct and the constructs which describe measurement locations and cell properties. It is useful to define an abstract generic coordinate construct that can be used to refer to coordinates when their type (dimension or auxiliary coordinate construct) is not an issue.</em></span><a class="headerlink" href="#id5" title="Link to this image">¶</a></p>
</figcaption>
</figure>
</section>
<hr class="docutils" />
<section id="references">
<h3><a class="toc-backref" href="#id12" role="doc-backlink"><strong>References</strong></a><a class="headerlink" href="#references" title="Link to this heading">¶</a></h3>
<dl class="simple">
<dt>Eaton, B., Gregory, J., Drach, B., Taylor, K., Hankin, S., Caron, J.,</dt><dd><p>Signell, R., et al. NetCDF Climate and Forecast (CF) Metadata
Conventions. CF Conventions Committee.
<a class="reference external" href="https://cfconventions.org/cf-conventions/cf-conventions.html">https://cfconventions.org/cf-conventions/cf-conventions.html</a></p>
</dd>
<dt>Hassell, D., and Bartholomew, S. L. (2020). cfdm: A Python reference</dt><dd><p>implementation of the CF data model. Journal of Open Source
Software, 5(54), 2717, <a class="reference external" href="https://doi.org/10.21105/joss.02717">https://doi.org/10.21105/joss.02717</a></p>
</dd>
<dt>Hassell, D., Gregory, J., Blower, J., Lawrence, B. N., and</dt><dd><p>Taylor, K. E. (2017). A data model of the Climate and Forecast
metadata conventions (CF-1.6) with a software implementation
(cf-python v2.1), Geosci. Model Dev., 10, 4619-4646,
<a class="reference external" href="https://doi.org/10.5194/gmd-10-4619-2017">https://doi.org/10.5194/gmd-10-4619-2017</a></p>
</dd>
<dt>Rew, R., and Davis, G. (1990). NetCDF: An Interface for Scientific</dt><dd><p>Data Access. IEEE Computer Graphics and Applications, 10(4),
76–82. <a class="reference external" href="https://doi.org/10.1109/38.56302">https://doi.org/10.1109/38.56302</a></p>
</dd>
<dt>Rew, R., Hartnett, E., and Caron, J. (2006). NetCDF-4: Software</dt><dd><p>Implementing an Enhanced Data Model for the Geosciences. In 22nd
International Conference on Interactive Information Processing
Systems for Meteorology, Oceanography, and Hydrology. AMS. Retrieved
from
<a class="reference external" href="https://www.unidata.ucar.edu/software/netcdf/papers/2006-ams.pdf">https://www.unidata.ucar.edu/software/netcdf/papers/2006-ams.pdf</a></p>
</dd>
</dl>
</section>
</section>
<section id="id2">
<h2><strong>Contents</strong><a class="headerlink" href="#id2" title="Link to this heading">¶</a></h2>
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<li class="toctree-l1"><a class="reference internal" href="introduction.html"><strong>Introduction</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="installation.html"><strong>Installation</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="cheat_sheet.html"><strong>Cheat Sheet</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="recipes/index.html"><strong>Recipes using cf</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorial.html"><strong>Tutorial</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="api_reference.html"><strong>API reference</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="aggregation_rules.html"><strong>Aggregation rules</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="performance.html"><strong>Performance</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="releases.html"><strong>Releases</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="Changelog.html"><strong>Change log</strong></a></li>
<li class="toctree-l1"><a class="reference internal" href="contributing.html"><strong>Contributing</strong></a></li>
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<h2><strong>Index and search</strong><a class="headerlink" href="#index-and-search" title="Link to this heading">¶</a></h2>
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