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130 changes: 104 additions & 26 deletions docs/src/UserGuide/faq.md
Original file line number Diff line number Diff line change
Expand Up @@ -77,47 +77,125 @@ Now we can concatenate `ds1` and `ds2`:
dsfinal = concatenatecubes([ds1, ds2], Dim{:Variables}(["var1", "var2"]))
````

## How do I subset a Cube?
## How do I subset a YAXArray ( Cube ) or Dataset?

Let's start by creating a dummy cube. Define the time span of the cube
These are the three main datatypes provided by the YAXArrays libray. You can find a description of them [here](https://juliadatacubes.github.io/YAXArrays.jl/dev/UserGuide/types). A Cube is no more than a YAXArray, so, we will not explicitly tell about a Cube.

````@example howdoi
using Dates
### Subsetting a YAXArray

Let's start by creating a dummy YAXArray.

Firstly, load the required libraries
```@example howdoi
using YAXArrays
using Dates # To generate the dates of the time axis
using DimensionalData # To use the "Between" option for selecting data, however the intervals notation should be used instead, i.e. `a .. b`.
```

Define the time span of the YAXArray

```@example howdoi
t = Date("2020-01-01"):Month(1):Date("2022-12-31")
````
```

create cube axes
create YAXArray axes

````@example howdoi
```@example howdoi
axes = (Dim{:Lon}(1:10), Dim{:Lat}(1:10), Dim{:Time}(t))
````
```

assign values to a cube
create the YAXArray
```@example howdoi
y = YAXArray(axes, reshape(1:3600, (10, 10, 36)))
```
Now we subset the YAXArray by any dimension.

````@ansi howdoi
c = YAXArray(axes, reshape(1:3600, (10, 10, 36)))
````
Subset YAXArray by years

Now we subset the cube by any dimension.
```@example howdoi
ytime = y[Time=Between(Date(2021,1,1), Date(2021,12,31))]
```

Subset cube by years
Subset YAXArray by a specific date
```@example howdoi
ytime2 = y[Time=At(Date("2021-05-01"))]
```
Subset YAXArray by a date range
```@example howdoi
ytime3 = y[Time=Date("2021-05-01") .. Date("2021-12-01")]
```

````@ansi howdoi
ctime = c[Time=Between(Date(2021,1,1), Date(2021,12,31))]
````
Subset YAXArray by longitude and latitude

Subset cube by a specific date and date range
```@example howdoi
ylonlat = y[Lon=1 .. 5, Lat=5 .. 10]
```

````@ansi howdoi
ctime2 = c[Time=At(Date("2021-05-01"))]
ctime3 = c[Time=Date("2021-05-01") .. Date("2021-12-01")]
````
### Subsetting a Dataset

Subset cube by longitude and latitude
In a dataset, we can have several variables (YAXArrays) that share some or all of their dimensions.

````@ansi howdoi
clonlat = c[Lon=1 .. 5, Lat=5 .. 10] # check even numbers range, it is ommiting them
````
#### Subsetting a Dataset whose variables share all their dimensions

This works for YAXArrays. Let's make an example.

```@example howdoi
using YAXArrays
using Dates # To generate the dates of the time axis
using DimensionalData # To use the "Between" option for selecting data

t = Date("2020-01-01"):Month(1):Date("2022-12-31")
axes = (Dim{:Lon}(1:10), Dim{:Lat}(1:10), Dim{:Time}(t))

var1 = YAXArray(axes, reshape(1:3600, (10, 10, 36)))
var2 = YAXArray(axes, reshape((1:3600)*5, (10, 10, 36)))

ds = Dataset(; var1=var1, var2=var2)
```
```@example howdoi
ds_lonlat = ds[Lon=1 .. 5, Lat=5 .. 10]
```
#### Subsetting a Dataset whose variables share some but not all of their dimensions

In this case, if we subset by the common dimension/s, this works the same as for YAXArrays, Cubes, and datasets that share all their dimensions.

But we can also subset a variable by the values of another variable with which it shares some dimensions.
!!! warning
If your data is not loaded into memory, the selection will be too slow. So, you have load into memory, at least, the variable with which you make the selection.

Let's make an example.
```@example howdoi
using YAXArrays
using Dates # To generate the dates of the time axis
using DimensionalData # To use the "Between" selector for selecting data

t = Date("2020-01-01"):Month(1):Date("2022-12-31")
common_axis = Dim{:points}(1:100)
time_axis = Dim{:Time}(t)

# Note that longitudes and latitudes are not dimensions, but YAXArrays
longitudes = YAXArray((common_axis,), rand(1:369, 100)) # 100 random values taken from 1 to 359
latitudes = YAXArray((common_axis,), rand(0:90, 100)) # 100 random values taken from 0 to 90
temperature = YAXArray((common_axis, time_axis), rand(-40:40, (100, 36)))

ds = Dataset(; longitudes=longitudes, latitudes=latitudes, temperature=temperature)
```
Select all points between 20ºN and 85ºN, and 0ºE to 180ºE
```@example howdoi
ds_subset = ds[points = Where(p-> ds["latitudes"][p] >= 20 && ds["latitudes"][p] <= 80 &&
ds["longitudes"][p] >= 0 && ds["longitudes"][p] <= 180
) # Where
] # ds
```
If your dataset has been read from a file with `Cube` it is not loaded into memory, and you have to load the `latitudes` and `longitudes` YAXArrays into memory:
```@example howdoi
latitudes_yasxa = readcubedata(ds["latitudes"])
longitudes_yasxa = readcubedata(ds["longitudes"])
ds_subset = ds[points = Where(p-> latitudes_yasxa[p] >= 20 && latitudes_yasxa[p] <= 80 &&
longitudes_yasxa[p] >= 0 && longitudes_yasxa[p] <= 180
) # Where
] # ds
```

## How do I apply map algebra?

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