diff options
Diffstat (limited to 'numpy/doc/broadcasting.py')
| -rw-r--r-- | numpy/doc/broadcasting.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/doc/broadcasting.py b/numpy/doc/broadcasting.py index 0bdb6ae7d..f7bd2515b 100644 --- a/numpy/doc/broadcasting.py +++ b/numpy/doc/broadcasting.py @@ -42,7 +42,7 @@ We can think of the scalar ``b`` being *stretched* during the arithmetic operation into an array with the same shape as ``a``. The new elements in ``b`` are simply copies of the original scalar. The stretching analogy is only conceptual. NumPy is smart enough to use the original scalar value -without actually making copies, so that broadcasting operations are as +without actually making copies so that broadcasting operations are as memory and computationally efficient as possible. The code in the second example is more efficient than that in the first @@ -52,7 +52,7 @@ because broadcasting moves less memory around during the multiplication General Broadcasting Rules ========================== When operating on two arrays, NumPy compares their shapes element-wise. -It starts with the trailing dimensions, and works its way forward. Two +It starts with the trailing dimensions and works its way forward. Two dimensions are compatible when 1) they are equal, or |