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
685590739,MDU6SXNzdWU2ODU1OTA3Mzk=,4373,Add Dataset.plot.quiver,2448579,closed,0,,,0,2020-08-25T15:39:37Z,2021-02-19T14:21:45Z,2021-02-19T14:21:45Z,MEMBER,,,,"I think it would be nice to add a quiver plot function. I got this far in my current project:

``` python
@xarray.plot.dataset_plot._dsplot
def quiver(ds, x, y, ax, u, v, **kwargs):
    from xarray import broadcast

    if x is None or y is None or u is None or v is None:
        raise ValueError(""Must specify x, y, u, v for quiver plots."")

    # matplotlib autoscaling algorithm
    scale = kwargs.pop(""scale"", None)
    if scale is None:
        npts = ds.dims[x] * ds.dims[y]
        # crude auto-scaling
        # scale is typical arrow length as a multiple of the arrow width
        scale = (
            1.8 * ds.to_array().median().values * np.maximum(10, np.sqrt(npts))
        )  # / span

    ds = ds.squeeze()
    x, y, u, v = broadcast(ds[x], ds[y], ds[u], ds[v])

    # no support for these kwargs right now.
    kwargs.pop(""cmap_params"")
    kwargs.pop(""hue"")
    kwargs.pop(""hue_style"")
    hdl = ax.quiver(x.values, y.values, u.values, v.values, scale=scale, **kwargs)

    return hdl
```

The autoscaling logic is quite crude; I tried to copy what matplotlib does but got somewhat confused. To get faceting to work properly, we'll need to estimate `scale` around here: https://github.com/pydata/xarray/blob/a36d0a1d4657c848dcdd76d0ecb9c783ad464057/xarray/plot/facetgrid.py#L339-L343","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4373/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
685825824,MDU6SXNzdWU2ODU4MjU4MjQ=,4376,wrong chunk sizes in html repr with nonuniform chunks,2448579,open,0,,,3,2020-08-25T21:23:11Z,2020-10-07T11:11:23Z,,MEMBER,,,,"<!-- Please include a self-contained copy-pastable example that generates the issue if possible.

Please be concise with code posted. See guidelines below on how to provide a good bug report:

- Craft Minimal Bug Reports: http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports
- Minimal Complete Verifiable Examples: https://stackoverflow.com/help/mcve

Bug reports that follow these guidelines are easier to diagnose, and so are often handled much more quickly.
-->

**What happened**:

The HTML repr is using the first element in a chunks tuple;

**What you expected to happen**:

 it should be using whatever dask does in this case

**Minimal Complete Verifiable Example**:

```python

import xarray as xr
import dask


test = xr.DataArray(
    dask.array.zeros(
        (12, 901, 1001),
        chunks=(
            (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1),
            (1, 899, 1),
            (1, 199, 1, 199, 1, 199, 1, 199, 1, 199, 1),
        ),
    )
)
test.to_dataset(name=""a"")
```

![image](https://user-images.githubusercontent.com/2448579/91229202-fbebfe00-e718-11ea-9127-8b7364976762.png)

EDIT: The text repr has the same issue
```
<xarray.Dataset>
Dimensions:  (dim_0: 12, dim_1: 901, dim_2: 1001)
Dimensions without coordinates: dim_0, dim_1, dim_2
Data variables:
    a        (dim_0, dim_1, dim_2) float64 dask.array<chunksize=(1, 1, 1), meta=np.ndarray>
```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4376/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue