本文整理匯總了Python中numpy.format_float_scientific方法的典型用法代碼示例。如果您正苦於以下問題：Python numpy.format_float_scientific方法的具體用法？Python numpy.format_float_scientific怎麽用？Python numpy.format_float_scientific使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy的用法示例。
在下文中一共展示了numpy.format_float_scientific方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _format_bf
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import format_float_scientific [as 別名]
def _format_bf(bf, precision=3, trim='0'):
"""Format BF10 to floating point or scientific notation.
"""
if bf >= 1e4 or bf <= 1e-4:
out = np.format_float_scientific(bf, precision=precision, trim=trim)
else:
out = np.format_float_positional(bf, precision=precision, trim=trim)
return out 示例2: test_dragon4_interface
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import format_float_scientific [as 別名]
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")