Univariate drift calculation fails: autodetected range of [nan, nan] is not finite

[nnansters]

Describe the bug

Running univariate drift detection, in this case JS, fails raising the following exception:

 nannyml.exceptions.CalculatorException: failed while fitting <nannyml.drift.univariate.calculator.UnivariateDriftCalculator object at 0x7fba9ba21c90>.
 autodetected range of [nan, nan] is not finite

To Reproduce

• Take the car loan binary classification dataset
• Set values for a feature to np.nan
• Run UnivariateDriftCalculator with jensen_shannon as a method

Expected behavior

• The calculator should deal with NaN values without failing.
• Other methods are still calculated even when first one fails
• In case of all np.NaN it should return np.NaN and show a warning

Screenshots & scripts

 Traceback (most recent call last):
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/base.py", line 358, in fit
     return self._fit(reference_data, *args, **kwargs)
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/usage_logging.py", line 231, in logging_wrapper
     raise runtime_exception
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/usage_logging.py", line 180, in logging_wrapper
     res = func(*args, **kwargs)
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/drift/univariate/calculator.py", line 275, in _fit
     self._column_to_models_mapping[column_name] += [
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/drift/univariate/calculator.py", line 282, in <listcomp>
     ).fit(
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/drift/univariate/methods.py", line 101, in fit
     self._fit(reference_data, timestamps)
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/drift/univariate/methods.py", line 292, in _fit
     bins = np.histogram_bin_edges(reference_data, bins='doane')
   File "<__array_function__ internals>", line 200, in histogram_bin_edges
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/numpy/lib/histograms.py", line 669, in histogram_bin_edges
     bin_edges, _ = _get_bin_edges(a, bins, range, weights)
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/numpy/lib/histograms.py", line 396, in _get_bin_edges
     first_edge, last_edge = _get_outer_edges(a, range)
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/numpy/lib/histograms.py", line 323, in _get_outer_edges
     raise ValueError(
 ValueError: autodetected range of [nan, nan] is not finite
 During handling of the above exception, another exception occurred:
 Traceback (most recent call last):
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/runner.py", line 177, in run
     calc.fit(reference_data)
   File "/opt/nannyml-runner/.venv/lib/python3.11/site-packages/nannyml/base.py", line 362, in fit
     raise CalculatorException(f"failed while fitting {str(self)}.\n{exc}")
 nannyml.exceptions.CalculatorException: failed while fitting <nannyml.drift.univariate.calculator.UnivariateDriftCalculator object at 0x7fba9ba21c90>.
 autodetected range of [nan, nan] is not finite