Dickey Fuller failure

[Led_Zeppelin]

When I run the Dickey-Fuller test as shown here:

# dickey-fuller test
dft = adfuller (image_data_org['sensor_04'], autolag='AIC')
# dickey fuller test output
dfo = pd.Series(dft[0:4], index=['Test Statistic','p-value','Lags Used','Observations Used'])
for key,value in dft[4].items():
    dfo['Critical Value (%s)'%key] = value
    
print(dfo)

I get a successful run on most sensors. But on sensor_03 it fails. The error is now shown:

Output:
alueError                                Traceback (most recent call last)
Input In [61], in <cell line: 2>()
      1 # dickey-fuller test
----> 2 dft = adfuller (image_data_org['sensor_04'], autolag='AIC')
      3 # dickey fuller test output
      4 dfo = pd.Series(dft[0:4], index=['Test Statistic','p-value','Lags Used','Observations Used'])

File ~\miniconda3\envs\pump-failure-pred\lib\site-packages\statsmodels\tsa\stattools.py:260, in adfuller(x, maxlag, regression, autolag, store, regresults)
    165 def adfuller(
    166     x,
    167     maxlag: int | None = None,
   (...)
    171     regresults=False,
    172 ):
    173     """
    174     Augmented Dickey-Fuller unit root test.
    175 
   (...)
    258     See example notebook
    259     """
--> 260     x = array_like(x, "x")
    261     maxlag = int_like(maxlag, "maxlag", optional=True)
    262     regression = rename_trend(regression)

File ~\miniconda3\envs\pump-failure-pred\lib\site-packages\statsmodels\tools\validation\validation.py:147, in array_like(obj, name, dtype, ndim, maxdim, shape, order, contiguous, optional)
    145     if arr.ndim != ndim:
    146         msg = "{0} is required to have ndim {1} but has ndim {2}"
--> 147         raise ValueError(msg.format(name, ndim, arr.ndim))
    148 if shape is not None:
    149     for actual, req in zip(arr.shape, shape):

ValueError: x is required to have ndim 1 but has ndim 2

I have no idea what this error means or how to correct it.
Please explain this error.

Thanks in advance.

Respectfully,

LZ