Is your feature request related to a problem?

Sometimes i need to combine xarray Facet grids with other ax plots. It would be amazing if I could pass a created figure to the plot function. Event better a subfigure so that the possibilities are infinite!

Describe the solution you'd like

for example: ```python da = xr.tutorial.open_dataset("air_temperature")['air'] f = plt.figure() ( da [{'time':[1,2,4]}] .plot.contourf(col='time',fig = f) )

```

Describe alternatives you've considered

an alternative is to manually to all plots in a created figure, but this becomes cumbersome. I quickly checked the source code, and it does not seem very difficult to implement. mostly a modification to the get_axis function so that it accepts an already created figure. I managed to quickly make it work in seaborn (see image below)

Additional context

No response

What is your issue?

I believe there is an inconsistency between using the resample function (left labeled) and the plotting function (center labeled). Maybe the example below help illustrating the issue:

```python d = [ [1,0,0,0,0,0,1,0,0,0,0,0], [0,0,1,1,0,0,0,1,1,1,1,0], [0,0,0,0,0,0,0,0,0,0,1,0], ]

t = pd.date_range('2000-01-01 00:05','2000-01-01 00:17',freq='1t',closed='left')

da = xr.DataArray(d,dims=['i','t'],coords={'t':t})

f,axs = plt.subplots(4,sharex=True,constrained_layout=True)

def plot(da,ax_): return da_.plot(ax=ax_,add_colorbar=False,vmin=0,vmax=1.001,levels=11)

for ax,tt in zip(axs[1:],['2t','3t','4t']): da_ = da.resample({'t':tt}).mean() gr = plot(da,ax) ax.set_title(f'resample: {tt}')

_plot(da,axs[0]) axs[0].set_title('orginal')

for ax in axs: ax.grid() ax.set_xticks(t) ax.set_xticklabels(t.strftime('%M')) ax.set_xlim(pd.to_datetime('2000-01-01 00:00'),pd.to_datetime('2000-01-01 00:20'))

f.colorbar(gr,ax=axs)

```

In the example above, the most relevant problem is the high value at min 11 in panel 1 that after resampling to 4 minutes in panel 4 gets shifted and displayed between minutes 6 and 10. I know that i can shift the results from resample with the parameter loffset (='30s' ). but this that not help since now the high value in panel 1 (min 11) is also shifted to minutes 6-10 in panel 4 ```python d = [ [1,0,0,0,0,0,1,0,0,0,0,0], [0,0,1,1,0,0,0,1,1,1,1,0], [0,0,0,0,0,0,0,0,0,0,1,0], ]

t = pd.date_range('2000-01-01 00:05','2000-01-01 00:17',freq='1t',closed='left')

da = xr.DataArray(d,dims=['i','t'],coords={'t':t})

f,axs = plt.subplots(4,sharex=True,constrained_layout=True)

def plot(da,ax_): return da_.plot(ax=ax_,add_colorbar=False,vmin=0,vmax=1.001,levels=11)

for ax,tt in zip(axs[1:],['2t','3t','4t']): da_ = da.resample({'t':tt},loffset='30s').mean() gr = plot(da,ax) ax.set_title(f'resample: {tt}')

_plot(da,axs[0]) axs[0].set_title('orginal')

for ax in axs: ax.grid() ax.set_xticks(t) ax.set_xticklabels(t.strftime('%M')) ax.set_xlim(pd.to_datetime('2000-01-01 00:00'),pd.to_datetime('2000-01-01 00:20'))

f.colorbar(gr,ax=axs)

```

MCVE Code Sample

```python

Your code here

orig = '/tmp/orig.h5'

ii = 100000

data = xr.Dataset( { 'x':('t',np.random.randn(ii)), 'y':('t',np.random.randn(ii)) }, coords={'t':range(ii)} )

function to save the large file usnig chunksizes

def save(ds,path,kwargs): dvars = ds.variables chunksize = 100 var_dic = {} for var in dvars: var_dic[var]={ 'chunksizes': (chunksize,) } delayed =ds.to_netcdf(path,encoding=var_dic,kwargs)

save(data,orig)

data.close()

open the file, using dask

data_1 = xr.open_mfdataset([orig],chunks={'t':100})

Change variable x

data_1['x']=data_1['x']+20 data_1.close()

update only variable x. This works!

data_1['x'].to_netcdf(orig,mode='a')

try the same but now update only a slice of the x variable

open the file, using dask

data_1 = xr.open_mfdataset(orig,chunks={'t':100})

Change variable x

data_1['x']=data_1['x']+20 data_1.close()

update only variable x. this doesnt work!

data_1['x'][{'t':slice(0,10)}].to_netcdf(orig,mode='a')

```

Expected Output

Problem Description

Hi, I have a large dataset that does not fit in memory. Lets say i only want to update a small portion of it. Is there any way to update this small portion without having to rewrite the entire file.

I was fiddling around and found a way to update one variable at a time, but i want to be able to update only a subsection of this variable

Output of xr.show_versions()