Fix some typos 'than' -> 'then'
@@ -4161,7 +4161,7 @@ cdef class DenseArrayImpl(Array):
:param tuple selection: An int index, slice or tuple of integer/slice objects,
specifying the selected subarray region for each dimension of the DenseArray.
:rtype: :py:class:`numpy.ndarray` or :py:class:`collections.OrderedDict`
- :returns: If the dense array has a single attribute than a Numpy array of corresponding shape/dtype \
+ :returns: If the dense array has a single attribute then a Numpy array of corresponding shape/dtype \
is returned for that attribute. If the array has multiple attributes, a \
:py:class:`collections.OrderedDict` is returned with dense Numpy subarrays \
for each attribute.
@@ -4259,7 +4259,7 @@ cdef class DenseArrayImpl(Array):
If attrs is None (default) all array attributes will be returned.
Array attributes can be defined by name or by positional index.
:param order: 'C', 'F', or 'G' (row-major, col-major, tiledb global order)
- :returns: If the dense array has a single attribute than a Numpy array of corresponding shape/dtype \
+ :returns: If the dense array has a single attribute then a Numpy array of corresponding shape/dtype \
is returned for that attribute. If the array has multiple attributes, a \
:py:class:`collections.OrderedDict` is returned with dense Numpy subarrays for each attribute.
:raises IndexError: invalid or unsupported index selection
@@ -4393,7 +4393,7 @@ cdef class DenseArrayImpl(Array):
:param tuple selection: An int index, slice or tuple of integer/slice objects,
specifiying the selected subarray region for each dimension of the DenseArray.
:param value: a dictionary of array attribute values, values must able to be converted to n-d numpy arrays.\
- if the number of attributes is one, than a n-d numpy array is accepted.
+ if the number of attributes is one, then a n-d numpy array is accepted.
:type value: dict or :py:class:`numpy.ndarray`
:raises IndexError: invalid or unsupported index selection
:raises ValueError: value / coordinate length mismatch
@@ -4692,7 +4692,7 @@ cdef class SparseArrayImpl(Array):
:param tuple selection: N coordinate value arrays (dim0, dim1, ...) where N in the ndim of the SparseArray,
The format follows numpy sparse (point) indexing semantics.
:param value: a dictionary of nonempty array attribute values, values must able to be converted to 1-d numpy arrays.\
- if the number of attributes is one, than a 1-d numpy array is accepted.
+ if the number of attributes is one, then a 1-d numpy array is accepted.
:type value: dict or :py:class:`numpy.ndarray`
:raises IndexError: invalid or unsupported index selection
:raises ValueError: value / coordinate length mismatch
