def test_basic(self):
"""Basic test of array2string."""
a = np.arange(3)
assert_(np.array2string(a) == '[0 1 2]')
assert_(
np.array2string(a, max_line_width=4, legacy='1.13') == '[0 1\n 2]')
assert_(np.array2string(a, max_line_width=4) == '[0\n 1\n 2]')
def test_refcount(self):
# make sure we do not hold references to the array due to a recursive
# closure (gh-10620)
gc.disable()
a = np.arange(2)
r1 = sys.getrefcount(a)
np.array2string(a)
np.array2string(a)
r2 = sys.getrefcount(a)
gc.collect()
gc.enable()
assert_(r1 == r2)
def test_format_function(self):
"""Test custom format function for each element in array."""
def _format_function(x):
if np.abs(x) < 1:
return '.'
elif np.abs(x) < 2:
return 'o'
else:
return 'O'
x = np.arange(3)
if sys.version_info[0] >= 3:
x_hex = "[0x0 0x1 0x2]"
x_oct = "[0o0 0o1 0o2]"
else:
x_hex = "[0x0L 0x1L 0x2L]"
x_oct = "[0L 01L 02L]"
assert_(
np.array2string(x, formatter={'all': _format_function}) ==
"[. o O]")
assert_(
np.array2string(x, formatter={'int_kind': _format_function}) ==
"[. o O]")
assert_(
np.array2string(x, formatter={'all': lambda x: "%.4f" % x}) ==
"[0.0000 1.0000 2.0000]")
assert_equal(np.array2string(x, formatter={'int': lambda x: hex(x)}),
x_hex)
assert_equal(np.array2string(x, formatter={'int': lambda x: oct(x)}),
x_oct)
x = np.arange(3.)
assert_(
np.array2string(x, formatter={'float_kind': lambda x: "%.2f" % x})
== "[0.00 1.00 2.00]")
assert_(
np.array2string(x, formatter={'float': lambda x: "%.2f" % x}) ==
"[0.00 1.00 2.00]")
s = np.array(['abc', 'def'])
assert_(
np.array2string(s, formatter={'numpystr': lambda s: s * 2}) ==
'[abcabc defdef]')
# check for backcompat that using FloatFormat works and emits warning
with assert_warns(DeprecationWarning):
fmt = np.core.arrayprint.FloatFormat(x, 9, 'maxprec', False)
assert_equal(np.array2string(x, formatter={'float_kind': fmt}),
'[0. 1. 2.]')
def test_0d_arrays(self):
unicode = type(u'')
assert_equal(unicode(np.array(u'café', '<U4')), u'café')
if sys.version_info[0] >= 3:
assert_equal(repr(np.array('café', '<U4')),
"array('café', dtype='<U4')")
else:
assert_equal(repr(np.array(u'café', '<U4')),
"array(u'caf\\xe9', dtype='<U4')")
assert_equal(str(np.array('test', np.str_)), 'test')
a = np.zeros(1, dtype=[('a', '<i4', (3, ))])
assert_equal(str(a[0]), '([0, 0, 0],)')
assert_equal(repr(np.datetime64('2005-02-25')[...]),
"array('2005-02-25', dtype='datetime64[D]')")
assert_equal(repr(np.timedelta64('10', 'Y')[...]),
"array(10, dtype='timedelta64[Y]')")
# repr of 0d arrays is affected by printoptions
x = np.array(1)
np.set_printoptions(formatter={'all': lambda x: "test"})
assert_equal(repr(x), "array(test)")
# str is unaffected
assert_equal(str(x), "1")
# check `style` arg raises
assert_warns(DeprecationWarning,
np.array2string,
np.array(1.),
style=repr)
# but not in legacy mode
np.array2string(np.array(1.), style=repr, legacy='1.13')
# gh-10934 style was broken in legacy mode, check it works
np.array2string(np.array(1.), legacy='1.13')
def test_structure_format(self):
dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2, ))])
x = np.array([('Sarah', (8.0, 7.0)), ('John', (6.0, 7.0))], dtype=dt)
assert_equal(np.array2string(x),
"[('Sarah', [8., 7.]) ('John', [6., 7.])]")
np.set_printoptions(legacy='1.13')
try:
# for issue #5692
A = np.zeros(shape=10, dtype=[("A", "M8[s]")])
A[5:].fill(np.datetime64('NaT'))
assert_equal(
np.array2string(A),
textwrap.dedent("""\
[('1970-01-01T00:00:00',) ('1970-01-01T00:00:00',) ('1970-01-01T00:00:00',)
('1970-01-01T00:00:00',) ('1970-01-01T00:00:00',) ('NaT',) ('NaT',)
('NaT',) ('NaT',) ('NaT',)]"""))
finally:
np.set_printoptions(legacy=False)
# same again, but with non-legacy behavior
assert_equal(
np.array2string(A),
textwrap.dedent("""\
[('1970-01-01T00:00:00',) ('1970-01-01T00:00:00',)
('1970-01-01T00:00:00',) ('1970-01-01T00:00:00',)
('1970-01-01T00:00:00',) ( 'NaT',)
( 'NaT',) ( 'NaT',)
( 'NaT',) ( 'NaT',)]"""))
# and again, with timedeltas
A = np.full(10, 123456, dtype=[("A", "m8[s]")])
A[5:].fill(np.datetime64('NaT'))
assert_equal(
np.array2string(A),
textwrap.dedent("""\
[(123456,) (123456,) (123456,) (123456,) (123456,) ( 'NaT',) ( 'NaT',)
( 'NaT',) ( 'NaT',) ( 'NaT',)]"""))
# See #8160
struct_int = np.array([([1, -1], ), ([123, 1], )],
dtype=[('B', 'i4', 2)])
assert_equal(np.array2string(struct_int),
"[([ 1, -1],) ([123, 1],)]")
struct_2dint = np.array([([[0, 1], [2, 3]], ), ([[12, 0], [0, 0]], )],
dtype=[('B', 'i4', (2, 2))])
assert_equal(np.array2string(struct_2dint),
"[([[ 0, 1], [ 2, 3]],) ([[12, 0], [ 0, 0]],)]")
# See #8172
array_scalar = np.array((1., 2.1234567890123456789, 3.),
dtype=('f8,f8,f8'))
assert_equal(np.array2string(array_scalar), "(1., 2.12345679, 3.)")
def test_wide_element(self):
a = np.array(['xxxxx'])
assert_equal(np.array2string(a, max_line_width=5), "['xxxxx']")
assert_equal(np.array2string(a, max_line_width=5, legacy='1.13'),
"[ 'xxxxx']")
def make_str(a, width, **kw):
return np.array2string(a, separator="", max_line_width=width, **kw)
def test_edgeitems_kwarg(self):
# previously the global print options would be taken over the kwarg
arr = np.zeros(3, int)
assert_equal(np.array2string(arr, edgeitems=1, threshold=0),
"[0 ... 0]")
def __str__(self):
if self.shape == ():
return self.to_string()
else:
fmt = {'all': lambda x: x.to_string()}
return np.array2string(self, formatter=fmt)