diff options
Diffstat (limited to 'numpy/ma/core.py')
| -rw-r--r-- | numpy/ma/core.py | 62 |
1 files changed, 31 insertions, 31 deletions
diff --git a/numpy/ma/core.py b/numpy/ma/core.py index 25e542cd6..de716a669 100644 --- a/numpy/ma/core.py +++ b/numpy/ma/core.py @@ -2147,12 +2147,12 @@ def masked_object(x, value, copy=True, shrink=True): >>> food = np.array(['green_eggs', 'ham'], dtype=object) >>> # don't eat spoiled food >>> eat = ma.masked_object(food, 'green_eggs') - >>> print eat + >>> print(eat) [-- ham] >>> # plain ol` ham is boring >>> fresh_food = np.array(['cheese', 'ham', 'pineapple'], dtype=object) >>> eat = ma.masked_object(fresh_food, 'green_eggs') - >>> print eat + >>> print(eat) [cheese ham pineapple] Note that `mask` is set to ``nomask`` if possible. @@ -2548,7 +2548,7 @@ class MaskedIterator(object): >>> type(fl) <class 'numpy.ma.core.MaskedIterator'> >>> for item in fl: - ... print item + ... print(item) ... 0 1 @@ -3064,11 +3064,11 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2,3.1],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) - >>> print x + >>> print(x) [[1.0 -- 3.1] [-- 5.0 --] [7.0 -- 9.0]] - >>> print x.astype(int32) + >>> print(x.astype(int32)) [[1 -- 3] [-- 5 --] [7 -- 9]] @@ -3656,7 +3656,7 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) - >>> print x + >>> print(x) [[1 -- 3] [-- 5 --] [7 -- 9]] @@ -4261,11 +4261,11 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) - >>> print x + >>> print(x) [[1 -- 3] [-- 5 --] [7 -- 9]] - >>> print x.ravel() + >>> print(x.ravel()) [1 -- 3 -- 5 -- 7 -- 9] """ @@ -4317,11 +4317,11 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2],[3,4]], mask=[1,0,0,1]) - >>> print x + >>> print(x) [[-- 2] [3 --]] >>> x = x.reshape((4,1)) - >>> print x + >>> print(x) [[--] [2] [3] @@ -4382,18 +4382,18 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) - >>> print x + >>> print(x) [[1 -- 3] [-- 5 --] [7 -- 9]] >>> x.put([0,4,8],[10,20,30]) - >>> print x + >>> print(x) [[10 -- 3] [-- 20 --] [7 -- 30]] >>> x.put(4,999) - >>> print x + >>> print(x) [[10 -- 3] [-- 999 --] [7 -- 30]] @@ -4745,17 +4745,17 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) - >>> print x + >>> print(x) [[1 -- 3] [-- 5 --] [7 -- 9]] - >>> print x.sum() + >>> print(x.sum()) 25 - >>> print x.sum(axis=1) + >>> print(x.sum(axis=1)) [4 5 16] - >>> print x.sum(axis=0) + >>> print(x.sum(axis=0)) [8 5 12] - >>> print type(x.sum(axis=0, dtype=np.int64)[0]) + >>> print(type(x.sum(axis=0, dtype=np.int64)[0])) <type 'numpy.int64'> """ @@ -4823,7 +4823,7 @@ class MaskedArray(ndarray): Examples -------- >>> marr = np.ma.array(np.arange(10), mask=[0,0,0,1,1,1,0,0,0,0]) - >>> print marr.cumsum() + >>> print(marr.cumsum()) [0 1 3 -- -- -- 9 16 24 33] """ @@ -5223,12 +5223,12 @@ class MaskedArray(ndarray): -------- >>> x = np.ma.array(arange(4), mask=[1,1,0,0]) >>> x.shape = (2,2) - >>> print x + >>> print(x) [[-- --] [2 3]] - >>> print x.argmin(axis=0, fill_value=-1) + >>> print(x.argmin(axis=0, fill_value=-1)) [0 0] - >>> print x.argmin(axis=0, fill_value=9) + >>> print(x.argmin(axis=0, fill_value=9)) [1 1] """ @@ -5324,19 +5324,19 @@ class MaskedArray(ndarray): >>> a = ma.array([1, 2, 5, 4, 3],mask=[0, 1, 0, 1, 0]) >>> # Default >>> a.sort() - >>> print a + >>> print(a) [1 3 5 -- --] >>> a = ma.array([1, 2, 5, 4, 3],mask=[0, 1, 0, 1, 0]) >>> # Put missing values in the front >>> a.sort(endwith=False) - >>> print a + >>> print(a) [-- -- 1 3 5] >>> a = ma.array([1, 2, 5, 4, 3],mask=[0, 1, 0, 1, 0]) >>> # fill_value takes over endwith >>> a.sort(endwith=False, fill_value=3) - >>> print a + >>> print(a) [1 -- -- 3 5] """ @@ -5452,7 +5452,7 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array(np.arange(6), mask=[0 ,1, 0, 0, 0 ,1]).reshape(3, 2) - >>> print x + >>> print(x) [[0 --] [2 3] [4 --]] @@ -5462,7 +5462,7 @@ class MaskedArray(ndarray): masked_array(data = [0 3], mask = [False False], fill_value = 999999) - >>> print x.mini(axis=1) + >>> print(x.mini(axis=1)) [0 2 4] """ @@ -5741,11 +5741,11 @@ class MaskedArray(ndarray): Examples -------- >>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) - >>> print x + >>> print(x) [[1 -- 3] [-- 5 --] [7 -- 9]] - >>> print x.toflex() + >>> print(x.toflex()) [[(1, False) (2, True) (3, False)] [(4, True) (5, False) (6, True)] [(7, False) (8, True) (9, False)]] @@ -6914,14 +6914,14 @@ def where(condition, x=_NoValue, y=_NoValue): >>> x = np.ma.array(np.arange(9.).reshape(3, 3), mask=[[0, 1, 0], ... [1, 0, 1], ... [0, 1, 0]]) - >>> print x + >>> print(x) [[0.0 -- 2.0] [-- 4.0 --] [6.0 -- 8.0]] >>> np.ma.where(x > 5) # return the indices where x > 5 (array([2, 2]), array([0, 2])) - >>> print np.ma.where(x > 5, x, -3.1416) + >>> print(np.ma.where(x > 5, x, -3.1416)) [[-3.1416 -- -3.1416] [-- -3.1416 --] [6.0 -- 8.0]] |