Make expand_dimensions definitions non ambiguous (#795)

* Make expand_dimensions definitions non ambiguous

* Update README.md formatting

* Fix vertexgrid conversions in DimensionalData

* Fix all issues by using conversion trait only in 2d plots

since that's what we'd do anyway

* Use a more intelligent method to check the axis type

* Get tests going

* Add comments + regular sampling check function

* Drop Makie v0.19 compat, bump patch version

* Drop Makie v0.19 compat, add checks for regular sampling

This also fixes the convert_args for vertexgrid which was using the wrong array for lookup, causing y-flipped contourf for example.

* Regular and categorical sampling are both acceptable

* Apply suggestions from code review

Co-authored-by: Rafael Schouten <rafaelschouten@gmail.com>

* Use DD.shiftlocus for intervals to points

* Treat axis and figure keyword arguments differently

They're my special snowflakes ♡ヮ♡

* Handle axis + figure attributes better

* remove axis kwargs from where they shouldn't be

* fix wrong attr passing when axis type is known

* Warn only on irregular lookup

* more information about why this is bad

* Define a fallback for NoConversion traits

* Specific convert for spy to compute intervals

It semi works but the dimensions are still wrong, probably because of Makie converts..

---------

Co-authored-by: Lazaro Alonso <lazarus.alon@gmail.com>
Co-authored-by: Rafael Schouten <rafaelschouten@gmail.com>

Project.toml

@@ -1,7 +1,7 @@
 name = "DimensionalData"
 uuid = "0703355e-b756-11e9-17c0-8b28908087d0"
 authors = ["Rafael Schouten <rafaelschouten@gmail.com>"]
-version = "0.27.9"
+version = "0.27.10"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
@@ -57,7 +57,7 @@ InvertedIndices = "1"
 IteratorInterfaceExtensions = "1"
 JLArrays = "0.1"
 LinearAlgebra = "1"
-Makie = "0.19, 0.20, 0.21"
+Makie = "0.20, 0.21"
 OffsetArrays = "1"
 Plots = "1"
 PrecompileTools = "1"

README.md

@@ -15,21 +15,22 @@ DimensionalData.jl provides tools and abstractions for working with datasets tha
 
 DimensionalData is a pluggable, generalised version of [AxisArrays.jl](https://github.com/JuliaArrays/AxisArrays.jl) with a cleaner syntax, and additional functionality found in NamedDims.jl. It has similar goals to pythons [xarray](http://xarray.pydata.org/en/stable/), and is primarily written for use with spatial data in [Rasters.jl](https://github.com/rafaqz/Rasters.jl).
 
-> [!IMPORTANT]
-> INSTALLATION
+## Installation
 
 ```shell
 julia>]
 pkg> add DimensionalData
 ```
 
+## Quick start
+
 Start using the package:
 
 ```julia
 using DimensionalData
 ```
 
-The basic syntax is:
+The basic syntax to create a dimensional array (`DimArray`) is:
 
 ```julia
 A = DimArray(rand(50, 31), (X(), Y(10.0:40.0)));
@@ -76,7 +77,7 @@ A[Y=1:10, X=1]
  19.0  0.605331
 ```
 
-One can also subset by lookup, using a `Selector`, lets try `At`: 
+One can also subset by lookup, using a `Selector`, let's try `At`: 
 
 ```julia
 A[Y(At(25))]
@@ -125,8 +126,7 @@ using DimensionalData
 using DimensionalData.Lookup, DimensionalData.Dimensions
 ```
 
-> [!IMPORTANT]
-> Alternative Packages
+## Alternative packages
 
 There are a lot of similar Julia packages in this space. AxisArrays.jl, NamedDims.jl, NamedArrays.jl are registered alternative that each cover some of the functionality provided by DimensionalData.jl. DimensionalData.jl should be able to replicate most of their syntax and functionality.