Python numpy 模块,set_string_function() 实例源码
我们从Python开源项目中,提取了以下10个代码示例,用于说明如何使用numpy.set_string_function()。
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def repr_g(a):
(precision, linewidth, edgeitems) = est_options(a)
set_options(precision, linewidth, edgeitems)
np.set_string_function(None, repr=True)
str = a.__repr__()
np.set_string_function(repr_g, repr=True)
return str
def str_g(a):
(precision, linewidth, edgeitems) = est_options(a)
set_options(precision, linewidth, edgeitems)
np.set_string_function(None, repr=False)
str = a.__str__()
np.set_string_function(str_g, repr=False)
return str
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def test_set_string_function(self):
a = np.array([1])
np.set_string_function(lambda x: "FOO", repr=True)
assert_equal(repr(a), "FOO")
np.set_string_function(None, repr=True)
assert_equal(repr(a), "array([1])")
np.set_string_function(lambda x: "FOO", repr=False)
assert_equal(str(a), "FOO")
np.set_string_function(None, repr=False)
assert_equal(str(a), "[1]")
def set_string_function(f, repr=True):
"""
Set a Python function to be used when pretty printing arrays.
Parameters
----------
f : function or None
Function to be used to pretty print arrays. The function should expect
a single array argument and return a string of the representation of
the array. If None, the function is reset to the default NumPy function
to print arrays.
repr : bool, optional
If True (default), the function for pretty printing (``__repr__``)
is set, if False the function that returns the default string
representation (``__str__``) is set.
See Also
--------
set_printoptions, get_printoptions
Examples
--------
>>> def pprint(arr):
... return 'HA! - What are you going to do now?'
...
>>> np.set_string_function(pprint)
>>> a = np.arange(10)
>>> a
HA! - What are you going to do now?
>>> print(a)
[0 1 2 3 4 5 6 7 8 9]
We can reset the function to the default:
>>> np.set_string_function(None)
>>> a
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
`repr` affects either pretty printing or normal string representation.
Note that ``__repr__`` is still affected by setting ``__str__``
because the width of each array element in the returned string becomes
equal to the length of the result of ``__str__()``.
>>> x = np.arange(4)
>>> np.set_string_function(lambda x:'random', repr=False)
>>> x.__str__()
'random'
>>> x.__repr__()
'array([ 0, 1, 2, 3])'
"""
if f is None:
if repr:
return multiarray.set_string_function(array_repr, 1)
else:
return multiarray.set_string_function(array_str, 0)
else:
return multiarray.set_string_function(f, repr)