Error in build_continuous_partition_object

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build_continuous_partition_object throws a TypeError:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-291-2e413334f789> in <module>
      1 column = 'sizediscprcntamt'
----> 2 partition_object = build_continuous_partition_object(dataset=batch, 
      3                                                      column=column,
      4                                                      allow_relative_error='lower')
      5 print(is_valid_continuous_partition_object(partition_object))

~\AppData\Local\Continuum\anaconda3\envs\ge\lib\site-packages\great_expectations\dataset\util.py in build_continuous_partition_object(dataset, column, bins, n_bins, allow_relative_error)
    230             See :ref:`partition_object`.
    231     """
--> 232     bins = dataset.get_column_partition(column, bins, n_bins, allow_relative_error)
    233     if isinstance(bins, np.ndarray):
    234         bins = bins.tolist()

~\AppData\Local\Continuum\anaconda3\envs\ge\lib\site-packages\great_expectations\dataset\dataset.py in get_column_partition(self, column, bins, n_bins, allow_relative_error)
    382                     int(np.ceil(sturges)), int(np.ceil(float(max_ - min_) / fd))
    383                 )
--> 384             bins = np.linspace(start=float(min_), stop=float(max_), num=n_bins + 1)
    385         else:
    386             raise ValueError("Invalid parameter for bins argument")

<__array_function__ internals> in linspace(*args, **kwargs)

~\AppData\Local\Continuum\anaconda3\envs\ge\lib\site-packages\numpy\core\function_base.py in linspace(start, stop, num, endpoint, retstep, dtype, axis)
    111 
    112     """
--> 113     num = operator.index(num)
    114     if num < 0:
    115         raise ValueError("Number of samples, %s, must be non-negative." % num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

My column is of float dtype and doesn’t have any missing values.