This code snippet is from one of my script which works fine in current panda version (0.23) but Panel is deprecated and will be removed in a future version.

panel = pd.Panel(dict(df1=dataframe1,df2=dataframe2))
diff_output = diff_panel.apply(report_diff, axis=0)

Can someone please help me in translating this which is compatible with the latest version of panda? Its say use .to_xarray or pandas.to_frame()

import xarray as xr
a = pd.DataFrame({'a':[1,2,3],'b':[4,5,6],'c':[7,8,9]})
b = pd.DataFrame({'a':[11,12,13],'b':[14,15,16],'c':[17,18,19]})
ds = xr.Dataset({1:a, 2:b})
def f(thing):#print(thing)return thing.mean()
>>> q = ds.apply(f)
>>> q
<xarray.Dataset>
Dimensions:  ()
Data variables:1        float64 5.02        float64 15.0
>>> q[1]
<xarray.DataArray 1 ()>
array(5.)
>>> q[1].values
array(5.)