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gradient() function now supports datetime64 and timedelta64 #167

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13 changes: 11 additions & 2 deletions numpy/lib/function_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -867,6 +867,7 @@ def gradient(f, *varargs):
[ 1. , 1. , 1. ]])]

"""
f = np.asanyarray(f)
N = len(f.shape) # number of dimensions
n = len(varargs)
if n == 0:
Expand All @@ -889,12 +890,20 @@ def gradient(f, *varargs):
slice3 = [slice(None)]*N

otype = f.dtype.char
if otype not in ['f', 'd', 'F', 'D']:
if otype not in ['f', 'd', 'F', 'D', 'm', 'M']:
otype = 'd'

# Difference of datetime64 elements results in timedelta64
if otype == 'M' :
# Need to use the full dtype name because it contains unit information
otype = f.dtype.name.replace('datetime', 'timedelta')
elif otype == 'm' :
# Needs to keep the specific units, can't be a general unit
otype = f.dtype

for axis in range(N):
# select out appropriate parts for this dimension
out = np.zeros_like(f).astype(otype)
out = np.empty_like(f, dtype=otype)
slice1[axis] = slice(1, -1)
slice2[axis] = slice(2, None)
slice3[axis] = slice(None, -2)
Expand Down
14 changes: 14 additions & 0 deletions numpy/lib/tests/test_function_base.py
Original file line number Diff line number Diff line change
Expand Up @@ -281,6 +281,20 @@ def test_masked(self):
x = np.ma.array([[1, 1], [3, 4]])
assert_equal(type(gradient(x)[0]), type(x))

def test_datetime64(self):
# Make sure gradient() can handle special types like datetime64
x = array(['1910-08-16', '1910-08-11', '1910-08-10', '1910-08-12',
'1910-10-12', '1910-12-12', '1912-12-12'],
dtype='datetime64[D]')
dx = array([ -5, -3, 0, 31, 61, 396, 731], dtype='timedelta64[D]')
assert_array_equal(gradient(x), dx)

def test_timedelta64(self):
# Make sure gradient() can handle special types like timedelta64
x = array([-5, -3, 10, 12, 61, 321, 300], dtype='timedelta64[D]')
dx = array([ 2, 7, 7, 25, 154, 119, -21], dtype='timedelta64[D]')
assert_array_equal(gradient(x), dx)


class TestAngle(TestCase):
def test_basic(self):
Expand Down