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Vectorize and document simple_linear_interpolation. #9860

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Nov 28, 2017
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Vectorize and document simple_linear_interpolation. #9860

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36 changes: 19 additions & 17 deletions lib/matplotlib/cbook/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1557,24 +1557,26 @@ def get_siblings(self, a):


def simple_linear_interpolation(a, steps):
if steps == 1:
return a

steps = int(np.floor(steps))
new_length = ((len(a) - 1) * steps) + 1
new_shape = list(a.shape)
new_shape[0] = new_length
result = np.zeros(new_shape, a.dtype)

result[0] = a[0]
a0 = a[0:-1]
a1 = a[1:]
delta = ((a1 - a0) / steps)
for i in range(1, steps):
result[i::steps] = delta * i + a0
result[steps::steps] = a1
"""
Resample an array with ``steps - 1`` points between original point pairs.

return result
Parameters
----------
a : array, shape (n, ...)
steps : int

Returns
-------
array, shape ``((n - 1) * steps + 1, ...)``

Along each column of *a*, ``(steps - 1)`` points are introduced between
each original values; the values are linearly interpolated.
"""
fps = a.reshape((len(a), -1))
xp = np.arange(len(a)) * steps
x = np.arange((len(a) - 1) * steps + 1)
return (np.column_stack([np.interp(x, xp, fp) for fp in fps.T])
.reshape((len(x),) + a.shape[1:]))


@deprecated('2.1', alternative='shutil.rmtree')
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