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TST: shotgun testing of LogFormatter.pprint_val
Code used to generate the test data to establish bench mark. First print out is human-readable, second is for testing import itertools import matplotlib.ticker as mticker import numpy as np domains = sorted([1e-3, 1.5e-2, 1e6, 100, 5, .5]) float_values = sorted([np.pi * (10**i) for i in range(-5, 6)]) int_values = sorted([1 * (10 ** i) for i in range(-5, 6)]) fmt = mticker.LogFormatter() print() for d in domains: print('Domain ', d) for f in float_values: print(' {: >10.7f}: {: <10}'.format(f, fmt.pprint_val(f, d))) for f in int_values: print(' {: >10g}: {: <10}'.format(f, fmt.pprint_val(f, d))) print() print() print(',\n'.join([' ({v:.10g}, {d!r}, {res!r})'.format( v=f, d=d, res=fmt.pprint_val(f, d)) for d, f in itertools.product( domains, float_values + int_values)]))
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‎lib/matplotlib/tests/test_ticker.py‎

Lines changed: 146 additions & 0 deletions
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@@ -204,6 +204,152 @@ def get_view_interval(self):
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yield _logfe_helper, formatter, base, locs, i, expected_result
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def _pprint_helper(value, domain, expected):
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fmt = mticker.LogFormatter()
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label = fmt.pprint_val(value, domain)
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nose.tools.assert_equal(label, expected)
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def test_logformatter_pprint():
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test_cases = (
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(3.141592654e-05, 0.001, '3.142e-5'),
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(0.0003141592654, 0.001, '3.142e-4'),
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(0.003141592654, 0.001, '3.142e-3'),
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(0.03141592654, 0.001, '3.142e-2'),
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(0.3141592654, 0.001, '3.142e-1'),
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(3.141592654, 0.001, '3.142'),
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(31.41592654, 0.001, '3.142e1'),
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(314.1592654, 0.001, '3.142e2'),
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(3141.592654, 0.001, '3.142e3'),
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(31415.92654, 0.001, '3.142e4'),
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(314159.2654, 0.001, '3.142e5'),
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(1e-05, 0.001, '1e-5'),
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(0.0001, 0.001, '1e-4'),
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(0.001, 0.001, '1e-3'),
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(0.01, 0.001, '1e-2'),
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(0.1, 0.001, '1e-1'),
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(1, 0.001, '1'),
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(10, 0.001, '10'),
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(100, 0.001, '100'),
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(1000, 0.001, '1000'),
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(10000, 0.001, '1e4'),
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(100000, 0.001, '1e5'),
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(3.141592654e-05, 0.015, '0'),
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(0.0003141592654, 0.015, '0'),
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(0.003141592654, 0.015, '0.003'),
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(0.03141592654, 0.015, '0.031'),
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(0.3141592654, 0.015, '0.314'),
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(3.141592654, 0.015, '3.142'),
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(31.41592654, 0.015, '31.416'),
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(314.1592654, 0.015, '314.159'),
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(3141.592654, 0.015, '3141.593'),
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(31415.92654, 0.015, '31415.927'),
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(314159.2654, 0.015, '314159.265'),
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(1e-05, 0.015, '0'),
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(0.0001, 0.015, '0'),
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(0.001, 0.015, '0.001'),
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(0.01, 0.015, '0.01'),
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(0.1, 0.015, '0.1'),
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(1, 0.015, '1'),
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(10, 0.015, '10'),
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(100, 0.015, '100'),
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(1000, 0.015, '1000'),
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(10000, 0.015, '10000'),
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(100000, 0.015, '100000'),
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(3.141592654e-05, 0.5, '0'),
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(0.0003141592654, 0.5, '0'),
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(0.003141592654, 0.5, '0.003'),
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(0.03141592654, 0.5, '0.031'),
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(0.3141592654, 0.5, '0.314'),
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(3.141592654, 0.5, '3.142'),
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(31.41592654, 0.5, '31.416'),
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(314.1592654, 0.5, '314.159'),
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(3141.592654, 0.5, '3141.593'),
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(31415.92654, 0.5, '31415.927'),
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(314159.2654, 0.5, '314159.265'),
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(1e-05, 0.5, '0'),
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(0.0001, 0.5, '0'),
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(0.001, 0.5, '0.001'),
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(0.01, 0.5, '0.01'),
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(0.1, 0.5, '0.1'),
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(1, 0.5, '1'),
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(10, 0.5, '10'),
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(100, 0.5, '100'),
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(1000, 0.5, '1000'),
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(10000, 0.5, '10000'),
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(100000, 0.5, '100000'),
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(3.141592654e-05, 5, '0'),
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(0.0003141592654, 5, '0'),
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(0.003141592654, 5, '0'),
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(0.03141592654, 5, '0.03'),
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(0.3141592654, 5, '0.31'),
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(3.141592654, 5, '3.14'),
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(31.41592654, 5, '31.42'),
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(314.1592654, 5, '314.16'),
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(3141.592654, 5, '3141.59'),
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(31415.92654, 5, '31415.93'),
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(314159.2654, 5, '314159.27'),
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(1e-05, 5, '0'),
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(0.0001, 5, '0'),
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(0.001, 5, '0'),
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(0.01, 5, '0.01'),
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(0.1, 5, '0.1'),
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(1, 5, '1'),
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(10, 5, '10'),
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(100, 5, '100'),
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(1000, 5, '1000'),
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(10000, 5, '10000'),
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(100000, 5, '100000'),
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(3.141592654e-05, 100, '0'),
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(0.0003141592654, 100, '0'),
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(0.003141592654, 100, '0'),
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(0.03141592654, 100, '0'),
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(0.3141592654, 100, '0.3'),
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(3.141592654, 100, '3.1'),
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(31.41592654, 100, '31.4'),
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(314.1592654, 100, '314.2'),
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(3141.592654, 100, '3141.6'),
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(31415.92654, 100, '31415.9'),
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(314159.2654, 100, '314159.3'),
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(1e-05, 100, '0'),
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(0.0001, 100, '0'),
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(0.001, 100, '0'),
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(0.01, 100, '0'),
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(0.1, 100, '0.1'),
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(1, 100, '1'),
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(10, 100, '10'),
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(100, 100, '100'),
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(1000, 100, '1000'),
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(10000, 100, '10000'),
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(100000, 100, '100000'),
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(3.141592654e-05, 1000000.0, '3.1e-5'),
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(0.0003141592654, 1000000.0, '3.1e-4'),
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(0.003141592654, 1000000.0, '3.1e-3'),
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(0.03141592654, 1000000.0, '3.1e-2'),
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(0.3141592654, 1000000.0, '3.1e-1'),
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(3.141592654, 1000000.0, '3.1'),
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(31.41592654, 1000000.0, '3.1e1'),
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(314.1592654, 1000000.0, '3.1e2'),
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(3141.592654, 1000000.0, '3.1e3'),
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(31415.92654, 1000000.0, '3.1e4'),
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(314159.2654, 1000000.0, '3.1e5'),
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(1e-05, 1000000.0, '1e-5'),
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(0.0001, 1000000.0, '1e-4'),
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(0.001, 1000000.0, '1e-3'),
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(0.01, 1000000.0, '1e-2'),
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(0.1, 1000000.0, '1e-1'),
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(1, 1000000.0, '1'),
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(10, 1000000.0, '10'),
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(100, 1000000.0, '100'),
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(1000, 1000000.0, '1000'),
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(10000, 1000000.0, '1e4'),
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(100000, 1000000.0, '1e5')
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)
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for value, domain, expected in test_cases:
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yield _pprint_helper, value, domain, expected
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def test_use_offset():
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for use_offset in [True, False]:
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with matplotlib.rc_context({'axes.formatter.useoffset': use_offset}):

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