id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
2066367459,PR_kwDOAMm_X85jQuAO,8588,Update ecosystem.rst,109167,closed,0,,,3,2024-01-04T21:34:24Z,2024-01-04T22:41:06Z,2024-01-04T22:41:03Z,CONTRIBUTOR,,0,pydata/xarray/pulls/8588,"Related https://github.com/JuliaDataCubes/YAXArrays.jl/issues/354

<!-- Feel free to remove check-list items aren't relevant to your change -->

- [ ] Closes #xxxx
- [ ] Tests added
- [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst`
- [ ] New functions/methods are listed in `api.rst`
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137517563,MDU6SXNzdWUxMzc1MTc1NjM=,779,ENH: Mosaic plot and DataArray,109167,closed,0,,,4,2016-03-01T09:16:52Z,2016-03-02T08:07:13Z,2016-03-02T08:07:13Z,CONTRIBUTOR,,,,"Hello,

I'd like to draw using Python a similar mosaic plot (also named Marimekko chart) of R dataset `HairEyeColor`.

https://github.com/wch/r-source/blob/trunk/src/library/datasets/data/HairEyeColor.R

Here is R code

``` R
> library(datasets)
> HairEyeColor
, , Sex = Male

       Eye
Hair    Brown Blue Hazel Green
  Black    32   11    10     3
  Brown    53   50    25    15
  Red      10   10     7     7
  Blond     3   30     5     8

, , Sex = Female

       Eye
Hair    Brown Blue Hazel Green
  Black    36    9     5     2
  Brown    66   34    29    14
  Red      16    7     7     7
  Blond     4   64     5     8
```

I can display a mosaic plot using R with the following example available thanks to `?HairEyeColor`

``` R
require(graphics)
## Full mosaic
mosaicplot(HairEyeColor)
## Aggregate over sex (as in Snee's original data)
x <- apply(HairEyeColor, c(1, 2), sum)
x
mosaicplot(x, main = ""Relation between hair and eye color"")
```

I get:

![r_mosaic_plot_haireyecolor](https://cloud.githubusercontent.com/assets/109167/13425003/6ddb5f6e-dfa4-11e5-94ee-695beba91c5a.png)

I try to produce a similar plot using Python.

I created `xarray.DataArray` using:

``` python
import numpy as np
import xarray


data = np.array([32, 53, 10, 3, 11, 50, 10, 30, 10, 25, 7, 5, 3, 15, 7, 8,
                 36, 66, 16, 4,  9, 34,  7, 64,  5, 29, 7, 5, 2, 14, 7, 8])

_dim = (4, 4, 2)
data = data.reshape(_dim[::-1])

_dims = ['Hair', 'Eye', 'Sex']
_coords = [['Black', 'Brown', 'Red', 'Blond'], 
           ['Brown', 'Blue', 'Hazel', 'Green'],
           ['Male', 'Female']]

data = xarray.DataArray(
    data, dims=_dims[::-1],
    coords=_coords[::-1], name='Number'
)

assert int(data.loc['Female', 'Green', 'Black']) == 2
```

and try to plot mosaic using:

``` python
import matplotlib.pyplot as plt
from statsmodels.graphics.mosaicplot import mosaic
mosaic(data)
plt.show()
```

I get:

![python_mosaic_plot](https://cloud.githubusercontent.com/assets/109167/13422618/399aaeca-df96-11e5-9829-8416e1b4d904.png)

I think there is some room for improvements.

Providing a `da.plot.mosaic` method may be a first feature.
Using labels will be an other interesting feature.

Kind regards

PS: a similar mosaic plot can be plot using Titanic dataset

https://github.com/wch/r-source/blob/trunk/src/library/datasets/data/Titanic.R

with R
![r_mosaic_plot_titanic](https://cloud.githubusercontent.com/assets/109167/13424971/2e5d1fda-dfa4-11e5-8c3d-644f0f6d32f7.png)

with Python

``` python
import numpy as np
import xarray

data = np.array([  0,   0,  35,   0,
                   0,   0,  17,   0,
                 118, 154, 387, 670,
                   4,  13,  89,   3,
                   5,  11,  13,   0,
                   1,  13,  14,   0,
                  57,  14,  75, 192,
                 140,  80,  76,  20])

_dim = (4, 2, 2, 2)
data = data.reshape(_dim[::-1])

_dims = ['Class', 'Sex', 'Age', 'Survived']
_coords = [['1st', '2nd', '3rd', 'Crew'],
           ['Male', 'Female'],
           ['Child', 'Adult'],
           ['No', 'Yes']]

data = xarray.DataArray(
    data, dims=_dims[::-1],
    coords=_coords[::-1], name='Number'
)

assert int(data.loc['Yes', 'Adult', 'Male', '3rd']) == 75
```

![python_mosaic_plot_titanic](https://cloud.githubusercontent.com/assets/109167/13424975/3307159a-dfa4-11e5-8f9f-94a04169f50d.png)

PS2: Python/xarray datasets are available at https://github.com/Rdatasets/python

PS3: mosaic code can be found here:
https://github.com/statsmodels/statsmodels/blob/master/statsmodels/graphics/mosaicplot.py
https://github.com/statsmodels/statsmodels/blob/master/statsmodels/graphics/tests/test_mosaicplot.py
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