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-rw-r--r--doc/source/reference/c-api/array.rst10
1 files changed, 5 insertions, 5 deletions
diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst
index 2eaf3a27a..e396ee020 100644
--- a/doc/source/reference/c-api/array.rst
+++ b/doc/source/reference/c-api/array.rst
@@ -1223,7 +1223,7 @@ Converting data types
.. c:function:: int PyArray_ObjectType(PyObject* op, int mintype)
- This function is superceded by :c:func:`PyArray_MinScalarType` and/or
+ This function is superseded by :c:func:`PyArray_MinScalarType` and/or
:c:func:`PyArray_ResultType`.
This function is useful for determining a common type that two or
@@ -1237,7 +1237,7 @@ Converting data types
.. c:function:: void PyArray_ArrayType( \
PyObject* op, PyArray_Descr* mintype, PyArray_Descr* outtype)
- This function is superceded by :c:func:`PyArray_ResultType`.
+ This function is superseded by :c:func:`PyArray_ResultType`.
This function works similarly to :c:func:`PyArray_ObjectType` (...)
except it handles flexible arrays. The *mintype* argument can have
@@ -1248,7 +1248,7 @@ Converting data types
.. c:function:: PyArrayObject** PyArray_ConvertToCommonType( \
PyObject* op, int* n)
- The functionality this provides is largely superceded by iterator
+ The functionality this provides is largely superseded by iterator
:c:type:`NpyIter` introduced in 1.6, with flag
:c:data:`NPY_ITER_COMMON_DTYPE` or with the same dtype parameter for
all operands.
@@ -1439,7 +1439,7 @@ An ndarray can have a data segment that is not a simple contiguous
chunk of well-behaved memory you can manipulate. It may not be aligned
with word boundaries (very important on some platforms). It might have
its data in a different byte-order than the machine recognizes. It
-might not be writeable. It might be in Fortan-contiguous order. The
+might not be writeable. It might be in Fortran-contiguous order. The
array flags are used to indicate what can be said about data
associated with an array.
@@ -2488,7 +2488,7 @@ an element copier function as a primitive.::
Array Iterators
---------------
-As of NumPy 1.6.0, these array iterators are superceded by
+As of NumPy 1.6.0, these array iterators are superseded by
the new array iterator, :c:type:`NpyIter`.
An array iterator is a simple way to access the elements of an