Python numpy.format_float_scientific() Examples
The following are 10
code examples of numpy.format_float_scientific().
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Example #1
Source File: bayesian.py From pingouin with GNU General Public License v3.0 | 5 votes |
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
Example #2
Source File: test_scalarprint.py From recruit with Apache License 2.0 | 4 votes |
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")
Example #3
Source File: test_scalarprint.py From vnpy_crypto with MIT License | 4 votes |
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")
Example #4
Source File: test_scalarprint.py From Mastering-Elasticsearch-7.0 with MIT License | 4 votes |
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")
Example #5
Source File: test_scalarprint.py From GraphicDesignPatternByPython with MIT License | 4 votes |
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")
Example #6
Source File: test_scalarprint.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 4 votes |
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")
Example #7
Source File: test_scalarprint.py From pySINDy with MIT License | 4 votes |
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")
Example #8
Source File: test_scalarprint.py From coffeegrindsize with MIT License | 4 votes |
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")
Example #9
Source File: test_scalarprint.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 4 votes |
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")
Example #10
Source File: test_scalarprint.py From twitter-stock-recommendation with MIT License | 4 votes |
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")