I've been struggling with plotly.express and pandas in jupyter notebook as well. I've recently upgraded pandas to 1.3.0 and plolty to 5.1.0.

I had the same error, make sure you upgrade all dependencies as well along with pandas and plotly.

For me this command in the console did the trick:

pip install xarray --upgrade

Use older version of pandas: pip install pandas==0.22

xarray.DataArray is based on a single NumPy array internally, so it cannot be efficiently resized or appended to. Your best option is to make a new, larger DataArray with xarray.concat.

The data structure you're probably looking if you want to add items to a pd.Panel is xarray.Dataset. These are easiest to construct from the multi-indexed DataFrame equivalent to a Panel:

# First, make a DataFrame with a MultiIndex
>>> df = panel.to_frame()

>>> df.head()
                       one       two     three
major      minor
2000-01-01 a      0.278958  0.676034 -1.544726
           b     -0.918150 -2.707339 -0.552987
           c      0.023479  0.175528 -0.817556
           d      1.798001 -0.142016  1.390834
           e      0.256575  0.265369 -1.829766

# Now, convert the DataFrame with a MultiIndex to xarray
>>> ds = df.to_xarray()

>>> ds
<xarray.Dataset>
Dimensions:  (major: 4, minor: 5)
Coordinates:
  * major    (major) datetime64[ns] 2000-01-01 2000-01-02 2000-01-03 2000-01-04
  * minor    (minor) object 'a' 'b' 'c' 'd' 'e'
Data variables:
    one      (major, minor) float64 0.279 -0.9182 0.02348 1.798 0.2566 2.41 ...
    two      (major, minor) float64 0.676 -2.707 0.1755 -0.142 0.2654 ...
    three    (major, minor) float64 -1.545 -0.553 -0.8176 1.391 -1.83 ...

# You can assign a DataFrame if it has the right column/index names
>>> ds['four'] = pd.DataFrame(np.ones((4,5)),
...                           index=pd.date_range('1/1/2000', periods=4, name='major'),
...                           columns=pd.Index(['a', 'b', 'c', 'd', 'e'], name='minor'))

# or just pass a tuple directly:
>>> ds['five'] = (('major', 'minor'), np.zeros((4, 5)))

>>> ds
<xarray.Dataset>
Dimensions:  (major: 4, minor: 5)
Coordinates:
  * major    (major) datetime64[ns] 2000-01-01 2000-01-02 2000-01-03 2000-01-04
  * minor    (minor) object 'a' 'b' 'c' 'd' 'e'
Data variables:
    one      (major, minor) float64 0.279 -0.9182 0.02348 1.798 0.2566 2.41 ...
    two      (major, minor) float64 0.676 -2.707 0.1755 -0.142 0.2654 ...
    three    (major, minor) float64 -1.545 -0.553 -0.8176 1.391 -1.83 ...
    four     (major, minor) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ...
    five     (major, minor) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...

For more on transitioning from pandas.Panel to xarray, read this section in the xarray docs: http://xarray.pydata.org/en/stable/pandas.html#transitioning-from-pandas-panel-to-xarray