User Manual#
Welcome to the Iris User Manual!
We encourage exploring our User Manual pages using the tabbed sections below, which combine the Diataxis framework and topic-based filters to find content best suited to your purpose today. Alternatively, you can use the sidebar to navigate by section.
All#
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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Read about Iris' support for Cubes with no data payload. |
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Read about the core Iris data model. |
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Read about how and why Iris is made the way it is. |
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Read about the similarities and differences between Iris and Xarray. |
|
Read about the options for handling metadata differences during Cube maths. |
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Read about the options for handling metadata differences between Cubes. |
|
Read about how Iris represents unstructured mesh data. |
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Read about Python packages you can use alongside Iris to work with mesh data. |
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Read about metadata in the Iris data model e.g. names, units. |
|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
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Read about how Iris loads and saves NetCDF files. |
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Read about how Iris defers data loading from disk. |
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Read about how Iris represents Met Office UM PP and Fieldsfiles data. |
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Read about how we plan to review and improve the user experience of Iris. |
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Read about the different regridders available in Iris. |
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Read about the Iris Python package and why you might want to use it. |
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How to use custom NumPy code for filtering an Iris Cube. |
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How to visualise logarithmic values. |
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How to create your own Cube from computed data and visualise it. |
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How to visualise cross-sections of multi-dimensional Cubes. |
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How to define and use a custom aggregation operation, including visualisation. |
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How to visualise data from a file Iris does not natively support. |
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Code demonstrating basic iris.quickplot use. |
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How to create inset plots within a main plot; often used to show statistical collapses. |
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How to plot multiple lines on a single plot with a legend. |
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How to visualise data defined on an alternative map projection. |
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How to compute and plot a polynomial fit to 1D data in an Iris cube. |
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How to overlay data and graphics in different map projections. |
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How to visualise data defined on an alternative coordinate system. |
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How to use aligned plots to visualise collapsed dimensional statistics. |
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How to spatially constrain data, compute statistics and visualise a comparison. |
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How to produce comparative maps of two files with a shared colour bar. |
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How to use Iris to visualise space weather data. |
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How to use Iris arithmetic to derive phenomena from existing cubes and plot them. |
|
How to collapse and plot Cubes to create a Hovmoller diagram. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris to derive and plot wind barbs. |
|
How to use Iris to plot wind quivers. |
|
How to use Iris for visualising oceanographic profile data. |
|
How to combine and visualise multiple files. |
|
How to visualise data defined on a tri-polar grid using different map projections. |
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How to customise Iris' warnings to only see those you need. |
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How to install the Iris Python package. |
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How to convert other mesh formats into Iris' Mesh Data Model. |
|
How to perform common Iris operations on unstructured mesh data. |
|
How to access the properties of a Cube. |
|
How to create and use plugins to extend Iris' functionality. |
|
A lesson in customising how Iris merges and concatenates Cubes. |
|
A lesson in mathematical operations on Iris Cubes. |
|
A lesson in statistical operations on Iris Cubes. |
|
A real-world demonstration of using Dask Bags with Iris, including hazards to watch out for. |
|
Parallelising a Loop of Multiple Calls to a Third Party Library |
A real-world demonstration of parallelising function calls with Dask. |
A real-world demonstration of tuning Dask and Iris for better performance when saving data. |
|
A lesson in Iris' interpolation and regridding functionality. |
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A lesson in how Iris loading works. |
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A lesson in the various ways to combine Cubes along different dimensional axes. |
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A lesson on visualising Iris Cubes using Cartopy and Matplotlib. |
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A lesson on writing Iris Cubes to file in various formats. |
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A lesson on subsetting Iris Cubes by extraction, masking, and iteration. |
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Information on the correct way to cite the Iris Python package. |
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Information on common terms used within Iris documentation. |
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Information on terminology differences between Iris and similar packages. |
Guided lessons for understanding a topic.
(Supports study, via action)
|
|
|---|---|
A lesson in customising how Iris merges and concatenates Cubes. |
|
A lesson in mathematical operations on Iris Cubes. |
|
A lesson in statistical operations on Iris Cubes. |
|
A real-world demonstration of using Dask Bags with Iris, including hazards to watch out for. |
|
Parallelising a Loop of Multiple Calls to a Third Party Library |
A real-world demonstration of parallelising function calls with Dask. |
A real-world demonstration of tuning Dask and Iris for better performance when saving data. |
|
A lesson in Iris' interpolation and regridding functionality. |
|
A lesson in how Iris loading works. |
|
A lesson in the various ways to combine Cubes along different dimensional axes. |
|
A lesson on visualising Iris Cubes using Cartopy and Matplotlib. |
|
A lesson on writing Iris Cubes to file in various formats. |
|
A lesson on subsetting Iris Cubes by extraction, masking, and iteration. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
|
|
|---|---|
Read about Iris' support for Cubes with no data payload. |
|
Read about the core Iris data model. |
|
Read about how and why Iris is made the way it is. |
|
Read about the similarities and differences between Iris and Xarray. |
|
Read about the options for handling metadata differences during Cube maths. |
|
Read about the options for handling metadata differences between Cubes. |
|
Read about how Iris represents unstructured mesh data. |
|
Read about Python packages you can use alongside Iris to work with mesh data. |
|
Read about metadata in the Iris data model e.g. names, units. |
|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
|
Read about how Iris loads and saves NetCDF files. |
|
Read about how Iris defers data loading from disk. |
|
Read about how Iris represents Met Office UM PP and Fieldsfiles data. |
|
Read about how we plan to review and improve the user experience of Iris. |
|
Read about the different regridders available in Iris. |
|
Read about the Iris Python package and why you might want to use it. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
|
|
|---|---|
How to use custom NumPy code for filtering an Iris Cube. |
|
How to visualise logarithmic values. |
|
How to create your own Cube from computed data and visualise it. |
|
How to visualise cross-sections of multi-dimensional Cubes. |
|
How to define and use a custom aggregation operation, including visualisation. |
|
How to visualise data from a file Iris does not natively support. |
|
Code demonstrating basic iris.quickplot use. |
|
How to create inset plots within a main plot; often used to show statistical collapses. |
|
How to plot multiple lines on a single plot with a legend. |
|
How to visualise data defined on an alternative map projection. |
|
How to compute and plot a polynomial fit to 1D data in an Iris cube. |
|
How to overlay data and graphics in different map projections. |
|
How to visualise data defined on an alternative coordinate system. |
|
How to use aligned plots to visualise collapsed dimensional statistics. |
|
How to spatially constrain data, compute statistics and visualise a comparison. |
|
How to produce comparative maps of two files with a shared colour bar. |
|
How to use Iris to visualise space weather data. |
|
How to use Iris arithmetic to derive phenomena from existing cubes and plot them. |
|
How to collapse and plot Cubes to create a Hovmoller diagram. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris to derive and plot wind barbs. |
|
How to use Iris to plot wind quivers. |
|
How to use Iris for visualising oceanographic profile data. |
|
How to combine and visualise multiple files. |
|
How to visualise data defined on a tri-polar grid using different map projections. |
|
How to customise Iris' warnings to only see those you need. |
|
How to install the Iris Python package. |
|
How to convert other mesh formats into Iris' Mesh Data Model. |
|
How to perform common Iris operations on unstructured mesh data. |
|
How to access the properties of a Cube. |
|
How to create and use plugins to extend Iris' functionality. |
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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Information on the correct way to cite the Iris Python package. |
|
Information on common terms used within Iris documentation. |
|
Information on terminology differences between Iris and similar packages. |
By Topic#
topic: data_model#
Pages about the Cube class and its associated components
such as Coord and MeshXY.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
|
|
|---|---|
Read about Iris' support for Cubes with no data payload. |
|
Read about the core Iris data model. |
|
Read about the options for handling metadata differences during Cube maths. |
|
Read about the options for handling metadata differences between Cubes. |
|
Read about how Iris represents unstructured mesh data. |
|
Read about metadata in the Iris data model e.g. names, units. |
|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
|
How to create your own Cube from computed data and visualise it. |
|
How to visualise cross-sections of multi-dimensional Cubes. |
|
How to compute and plot a polynomial fit to 1D data in an Iris cube. |
|
How to spatially constrain data, compute statistics and visualise a comparison. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris for visualising oceanographic profile data. |
|
How to combine and visualise multiple files. |
|
How to access the properties of a Cube. |
|
A lesson in customising how Iris merges and concatenates Cubes. |
|
A lesson in the various ways to combine Cubes along different dimensional axes. |
|
A lesson on subsetting Iris Cubes by extraction, masking, and iteration. |
|
API reference |
|
API reference |
|
API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
|
Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
|
|
|---|---|
A lesson in customising how Iris merges and concatenates Cubes. |
|
A lesson in the various ways to combine Cubes along different dimensional axes. |
|
A lesson on subsetting Iris Cubes by extraction, masking, and iteration. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
|
|
|---|---|
Read about Iris' support for Cubes with no data payload. |
|
Read about the core Iris data model. |
|
Read about the options for handling metadata differences during Cube maths. |
|
Read about the options for handling metadata differences between Cubes. |
|
Read about how Iris represents unstructured mesh data. |
|
Read about metadata in the Iris data model e.g. names, units. |
|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
|
|
|---|---|
How to create your own Cube from computed data and visualise it. |
|
How to visualise cross-sections of multi-dimensional Cubes. |
|
How to compute and plot a polynomial fit to 1D data in an Iris cube. |
|
How to spatially constrain data, compute statistics and visualise a comparison. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris for visualising oceanographic profile data. |
|
How to combine and visualise multiple files. |
|
How to access the properties of a Cube. |
Concise information to look up when needed.
(Supports work, via theory)
|
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|---|---|
API reference |
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API reference |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
topic: load_save#
Pages about reading from files into the data model, and writing from the data model to files.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
|
|
|---|---|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
|
Read about how Iris loads and saves NetCDF files. |
|
Read about how Iris represents Met Office UM PP and Fieldsfiles data. |
|
How to visualise data from a file Iris does not natively support. |
|
How to combine and visualise multiple files. |
|
How to perform common Iris operations on unstructured mesh data. |
|
A real-world demonstration of tuning Dask and Iris for better performance when saving data. |
|
A lesson in how Iris loading works. |
|
A lesson on writing Iris Cubes to file in various formats. |
|
API reference |
|
API reference |
|
API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
|
API reference |
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Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
|
|
|---|---|
A real-world demonstration of tuning Dask and Iris for better performance when saving data. |
|
A lesson in how Iris loading works. |
|
A lesson on writing Iris Cubes to file in various formats. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
|
|
|---|---|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
|
Read about how Iris loads and saves NetCDF files. |
|
Read about how Iris represents Met Office UM PP and Fieldsfiles data. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
|
|
|---|---|
How to visualise data from a file Iris does not natively support. |
|
How to combine and visualise multiple files. |
|
How to perform common Iris operations on unstructured mesh data. |
Concise information to look up when needed.
(Supports work, via theory)
|
|
|---|---|
API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
topic: lazy_data#
Pages about Iris’ implementation of parallel and out-of-core data handling, via Dask. See Lazy Data.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
|
|
|---|---|
Read about how Iris defers data loading from disk. |
|
A real-world demonstration of using Dask Bags with Iris, including hazards to watch out for. |
|
Parallelising a Loop of Multiple Calls to a Third Party Library |
A real-world demonstration of parallelising function calls with Dask. |
A real-world demonstration of tuning Dask and Iris for better performance when saving data. |
|
Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
|
|
|---|---|
A real-world demonstration of using Dask Bags with Iris, including hazards to watch out for. |
|
Parallelising a Loop of Multiple Calls to a Third Party Library |
A real-world demonstration of parallelising function calls with Dask. |
A real-world demonstration of tuning Dask and Iris for better performance when saving data. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
|
|
|---|---|
Read about how Iris defers data loading from disk. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
No pages for this filter.
Concise information to look up when needed.
(Supports work, via theory)
|
|
|---|---|
Information on common terms used within Iris documentation. |
topic: plotting#
Pages about Iris’ use of Cartopy to plot Cube data.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
|
|
|---|---|
How to use custom NumPy code for filtering an Iris Cube. |
|
How to visualise logarithmic values. |
|
How to create your own Cube from computed data and visualise it. |
|
How to visualise cross-sections of multi-dimensional Cubes. |
|
How to define and use a custom aggregation operation, including visualisation. |
|
How to visualise data from a file Iris does not natively support. |
|
Code demonstrating basic iris.quickplot use. |
|
How to create inset plots within a main plot; often used to show statistical collapses. |
|
How to plot multiple lines on a single plot with a legend. |
|
How to visualise data defined on an alternative map projection. |
|
How to compute and plot a polynomial fit to 1D data in an Iris cube. |
|
How to overlay data and graphics in different map projections. |
|
How to visualise data defined on an alternative coordinate system. |
|
How to use aligned plots to visualise collapsed dimensional statistics. |
|
How to spatially constrain data, compute statistics and visualise a comparison. |
|
How to produce comparative maps of two files with a shared colour bar. |
|
How to use Iris to visualise space weather data. |
|
How to use Iris arithmetic to derive phenomena from existing cubes and plot them. |
|
How to collapse and plot Cubes to create a Hovmoller diagram. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris to derive and plot wind barbs. |
|
How to use Iris to plot wind quivers. |
|
How to use Iris for visualising oceanographic profile data. |
|
How to combine and visualise multiple files. |
|
How to visualise data defined on a tri-polar grid using different map projections. |
|
How to perform common Iris operations on unstructured mesh data. |
|
A lesson on visualising Iris Cubes using Cartopy and Matplotlib. |
|
API reference |
|
API reference |
|
API reference |
|
API reference |
|
API reference |
|
Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
|
|
|---|---|
A lesson on visualising Iris Cubes using Cartopy and Matplotlib. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
No pages for this filter.
Step by step instructions for achieving a specific goal.
(Supports work, via action)
|
|
|---|---|
How to use custom NumPy code for filtering an Iris Cube. |
|
How to visualise logarithmic values. |
|
How to create your own Cube from computed data and visualise it. |
|
How to visualise cross-sections of multi-dimensional Cubes. |
|
How to define and use a custom aggregation operation, including visualisation. |
|
How to visualise data from a file Iris does not natively support. |
|
Code demonstrating basic iris.quickplot use. |
|
How to create inset plots within a main plot; often used to show statistical collapses. |
|
How to plot multiple lines on a single plot with a legend. |
|
How to visualise data defined on an alternative map projection. |
|
How to compute and plot a polynomial fit to 1D data in an Iris cube. |
|
How to overlay data and graphics in different map projections. |
|
How to visualise data defined on an alternative coordinate system. |
|
How to use aligned plots to visualise collapsed dimensional statistics. |
|
How to spatially constrain data, compute statistics and visualise a comparison. |
|
How to produce comparative maps of two files with a shared colour bar. |
|
How to use Iris to visualise space weather data. |
|
How to use Iris arithmetic to derive phenomena from existing cubes and plot them. |
|
How to collapse and plot Cubes to create a Hovmoller diagram. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris to derive and plot wind barbs. |
|
How to use Iris to plot wind quivers. |
|
How to use Iris for visualising oceanographic profile data. |
|
How to combine and visualise multiple files. |
|
How to visualise data defined on a tri-polar grid using different map projections. |
|
How to perform common Iris operations on unstructured mesh data. |
Concise information to look up when needed.
(Supports work, via theory)
|
|
|---|---|
API reference |
|
API reference |
|
API reference |
|
API reference |
|
API reference |
|
Information on common terms used within Iris documentation. |
topic: statistics#
Pages about statistical and mathematical operations on Cube
data, e.g. computing means, differences, etc.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
|
|
|---|---|
Read about the options for handling metadata differences during Cube maths. |
|
Read about how Iris handles missing/masked data during Cube load/save/modification. |
|
How to use custom NumPy code for filtering an Iris Cube. |
|
How to visualise logarithmic values. |
|
How to define and use a custom aggregation operation, including visualisation. |
|
How to create inset plots within a main plot; often used to show statistical collapses. |
|
How to compute and plot a polynomial fit to 1D data in an Iris cube. |
|
How to use aligned plots to visualise collapsed dimensional statistics. |
|
How to spatially constrain data, compute statistics and visualise a comparison. |
|
How to use Iris arithmetic to derive phenomena from existing cubes and plot them. |
|
How to collapse and plot Cubes to create a Hovmoller diagram. |
|
How to use Iris in a real-world complex analysis scenario. |
|
How to use Iris to derive and plot wind barbs. |
|
How to perform common Iris operations on unstructured mesh data. |
|
A lesson in mathematical operations on Iris Cubes. |
|
A lesson in statistical operations on Iris Cubes. |
|
API reference |
|
API reference |
|
API reference |
|
API reference |
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API reference |
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API reference |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
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A lesson in mathematical operations on Iris Cubes. |
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A lesson in statistical operations on Iris Cubes. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
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Read about the options for handling metadata differences during Cube maths. |
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Read about how Iris handles missing/masked data during Cube load/save/modification. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
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How to use custom NumPy code for filtering an Iris Cube. |
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How to visualise logarithmic values. |
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How to define and use a custom aggregation operation, including visualisation. |
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How to create inset plots within a main plot; often used to show statistical collapses. |
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How to compute and plot a polynomial fit to 1D data in an Iris cube. |
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How to use aligned plots to visualise collapsed dimensional statistics. |
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How to spatially constrain data, compute statistics and visualise a comparison. |
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How to use Iris arithmetic to derive phenomena from existing cubes and plot them. |
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How to collapse and plot Cubes to create a Hovmoller diagram. |
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How to use Iris in a real-world complex analysis scenario. |
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How to use Iris to derive and plot wind barbs. |
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How to perform common Iris operations on unstructured mesh data. |
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
topic: regrid#
Pages about interpolating (1D) and regridding (2D) data from one set of coordinates to another. Commonly used to move between different XY grids.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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Read about the different regridders available in Iris. |
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How to perform common Iris operations on unstructured mesh data. |
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A lesson in Iris' interpolation and regridding functionality. |
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API reference |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
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A lesson in Iris' interpolation and regridding functionality. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
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Read about the different regridders available in Iris. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
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How to perform common Iris operations on unstructured mesh data. |
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
topic: customisation#
Pages about configurable Iris behaviour.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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A lesson in customising how Iris merges and concatenates Cubes. |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
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A lesson in customising how Iris merges and concatenates Cubes. |
In-depth discussion for understanding concepts.
(Supports study, via theory)
No pages for this filter.
Step by step instructions for achieving a specific goal.
(Supports work, via action)
No pages for this filter.
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
topic: troubleshooting#
Pages about problems/exceptions you may encounter when using Iris, and how to best handle them.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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How to customise Iris' warnings to only see those you need. |
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
No pages for this filter.
In-depth discussion for understanding concepts.
(Supports study, via theory)
No pages for this filter.
Step by step instructions for achieving a specific goal.
(Supports work, via action)
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How to customise Iris' warnings to only see those you need. |
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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API reference |
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Information on common terms used within Iris documentation. |
topic: experimental#
Pages about API that is still subject to change.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
Guided lessons for understanding a topic.
(Supports study, via action)
No pages for this filter.
In-depth discussion for understanding concepts.
(Supports study, via theory)
No pages for this filter.
Step by step instructions for achieving a specific goal.
(Supports work, via action)
No pages for this filter.
Concise information to look up when needed.
(Supports work, via theory)
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topic: interoperability#
Pages about using Iris alongside other libraries and tools.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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Read about the similarities and differences between Iris and Xarray. |
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Read about Python packages you can use alongside Iris to work with mesh data. |
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How to overlay data and graphics in different map projections. |
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How to convert other mesh formats into Iris' Mesh Data Model. |
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How to create and use plugins to extend Iris' functionality. |
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API reference |
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API reference |
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API reference |
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Information on terminology differences between Iris and similar packages. |
Guided lessons for understanding a topic.
(Supports study, via action)
No pages for this filter.
In-depth discussion for understanding concepts.
(Supports study, via theory)
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Read about the similarities and differences between Iris and Xarray. |
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Read about Python packages you can use alongside Iris to work with mesh data. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
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How to overlay data and graphics in different map projections. |
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How to convert other mesh formats into Iris' Mesh Data Model. |
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How to create and use plugins to extend Iris' functionality. |
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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API reference |
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API reference |
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Information on terminology differences between Iris and similar packages. |
topic: mesh#
Pages about Iris’ support for unstructured mesh data.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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Read about how Iris represents unstructured mesh data. |
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Read about Python packages you can use alongside Iris to work with mesh data. |
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How to convert other mesh formats into Iris' Mesh Data Model. |
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How to perform common Iris operations on unstructured mesh data. |
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
Guided lessons for understanding a topic.
(Supports study, via action)
No pages for this filter.
In-depth discussion for understanding concepts.
(Supports study, via theory)
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Read about how Iris represents unstructured mesh data. |
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Read about Python packages you can use alongside Iris to work with mesh data. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
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How to convert other mesh formats into Iris' Mesh Data Model. |
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How to perform common Iris operations on unstructured mesh data. |
Concise information to look up when needed.
(Supports work, via theory)
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API reference |
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API reference |
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API reference |
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API reference |
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API reference |
topic: about#
Pages about the non-code aspects of Iris: philosophy, installation, etc.
All topic: data_model topic: load_save topic: lazy_data topic: plotting topic: statistics topic: regrid topic: customisation topic: troubleshooting topic: experimental topic: interoperability topic: mesh topic: about
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Read about how and why Iris is made the way it is. |
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Read about how we plan to review and improve the user experience of Iris. |
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Read about the Iris Python package and why you might want to use it. |
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How to install the Iris Python package. |
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How to create and use plugins to extend Iris' functionality. |
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Information on the correct way to cite the Iris Python package. |
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Information on common terms used within Iris documentation. |
Guided lessons for understanding a topic.
(Supports study, via action)
No pages for this filter.
In-depth discussion for understanding concepts.
(Supports study, via theory)
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Read about how and why Iris is made the way it is. |
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Read about how we plan to review and improve the user experience of Iris. |
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Read about the Iris Python package and why you might want to use it. |
Step by step instructions for achieving a specific goal.
(Supports work, via action)
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How to install the Iris Python package. |
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How to create and use plugins to extend Iris' functionality. |
Concise information to look up when needed.
(Supports work, via theory)
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Information on the correct way to cite the Iris Python package. |
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Information on common terms used within Iris documentation. |