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TST: split tests/format/test_format.py (pandas-dev#15546)
closes pandas-dev#15531
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‎pandas/tests/formats/test_eng_formatting.py

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import numpy as np
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import pandas as pd
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from pandas import DataFrame
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from pandas.compat import u
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import pandas.formats.format as fmt
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from pandas.util import testing as tm
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class TestEngFormatter(tm.TestCase):
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def test_eng_float_formatter(self):
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df = DataFrame({'A': [1.41, 141., 14100, 1410000.]})
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fmt.set_eng_float_format()
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result = df.to_string()
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expected = (' A\n'
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'0 1.410E+00\n'
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'1 141.000E+00\n'
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'2 14.100E+03\n'
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'3 1.410E+06')
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self.assertEqual(result, expected)
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fmt.set_eng_float_format(use_eng_prefix=True)
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result = df.to_string()
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expected = (' A\n'
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'0 1.410\n'
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'1 141.000\n'
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'2 14.100k\n'
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'3 1.410M')
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self.assertEqual(result, expected)
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fmt.set_eng_float_format(accuracy=0)
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result = df.to_string()
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expected = (' A\n'
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'0 1E+00\n'
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'1 141E+00\n'
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'2 14E+03\n'
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'3 1E+06')
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self.assertEqual(result, expected)
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self.reset_display_options()
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def compare(self, formatter, input, output):
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formatted_input = formatter(input)
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msg = ("formatting of %s results in '%s', expected '%s'" %
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(str(input), formatted_input, output))
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self.assertEqual(formatted_input, output, msg)
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def compare_all(self, formatter, in_out):
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"""
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Parameters:
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-----------
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formatter: EngFormatter under test
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in_out: list of tuples. Each tuple = (number, expected_formatting)
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It is tested if 'formatter(number) == expected_formatting'.
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*number* should be >= 0 because formatter(-number) == fmt is also
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tested. *fmt* is derived from *expected_formatting*
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"""
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for input, output in in_out:
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self.compare(formatter, input, output)
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self.compare(formatter, -input, "-" + output[1:])
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def test_exponents_with_eng_prefix(self):
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formatter = fmt.EngFormatter(accuracy=3, use_eng_prefix=True)
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f = np.sqrt(2)
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in_out = [
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(f * 10 ** -24, " 1.414y"), (f * 10 ** -23, " 14.142y"),
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(f * 10 ** -22, " 141.421y"), (f * 10 ** -21, " 1.414z"),
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(f * 10 ** -20, " 14.142z"), (f * 10 ** -19, " 141.421z"),
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(f * 10 ** -18, " 1.414a"), (f * 10 ** -17, " 14.142a"),
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(f * 10 ** -16, " 141.421a"), (f * 10 ** -15, " 1.414f"),
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(f * 10 ** -14, " 14.142f"), (f * 10 ** -13, " 141.421f"),
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(f * 10 ** -12, " 1.414p"), (f * 10 ** -11, " 14.142p"),
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(f * 10 ** -10, " 141.421p"), (f * 10 ** -9, " 1.414n"),
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(f * 10 ** -8, " 14.142n"), (f * 10 ** -7, " 141.421n"),
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(f * 10 ** -6, " 1.414u"), (f * 10 ** -5, " 14.142u"),
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(f * 10 ** -4, " 141.421u"), (f * 10 ** -3, " 1.414m"),
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(f * 10 ** -2, " 14.142m"), (f * 10 ** -1, " 141.421m"),
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(f * 10 ** 0, " 1.414"), (f * 10 ** 1, " 14.142"),
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(f * 10 ** 2, " 141.421"), (f * 10 ** 3, " 1.414k"),
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(f * 10 ** 4, " 14.142k"), (f * 10 ** 5, " 141.421k"),
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(f * 10 ** 6, " 1.414M"), (f * 10 ** 7, " 14.142M"),
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(f * 10 ** 8, " 141.421M"), (f * 10 ** 9, " 1.414G"),
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(f * 10 ** 10, " 14.142G"), (f * 10 ** 11, " 141.421G"),
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(f * 10 ** 12, " 1.414T"), (f * 10 ** 13, " 14.142T"),
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(f * 10 ** 14, " 141.421T"), (f * 10 ** 15, " 1.414P"),
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(f * 10 ** 16, " 14.142P"), (f * 10 ** 17, " 141.421P"),
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(f * 10 ** 18, " 1.414E"), (f * 10 ** 19, " 14.142E"),
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(f * 10 ** 20, " 141.421E"), (f * 10 ** 21, " 1.414Z"),
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(f * 10 ** 22, " 14.142Z"), (f * 10 ** 23, " 141.421Z"),
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(f * 10 ** 24, " 1.414Y"), (f * 10 ** 25, " 14.142Y"),
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(f * 10 ** 26, " 141.421Y")]
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self.compare_all(formatter, in_out)
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def test_exponents_without_eng_prefix(self):
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formatter = fmt.EngFormatter(accuracy=4, use_eng_prefix=False)
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f = np.pi
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in_out = [
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(f * 10 ** -24, " 3.1416E-24"),
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(f * 10 ** -23, " 31.4159E-24"),
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(f * 10 ** -22, " 314.1593E-24"),
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(f * 10 ** -21, " 3.1416E-21"),
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(f * 10 ** -20, " 31.4159E-21"),
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(f * 10 ** -19, " 314.1593E-21"),
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(f * 10 ** -18, " 3.1416E-18"),
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(f * 10 ** -17, " 31.4159E-18"),
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(f * 10 ** -16, " 314.1593E-18"),
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(f * 10 ** -15, " 3.1416E-15"),
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(f * 10 ** -14, " 31.4159E-15"),
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(f * 10 ** -13, " 314.1593E-15"),
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(f * 10 ** -12, " 3.1416E-12"),
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(f * 10 ** -11, " 31.4159E-12"),
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(f * 10 ** -10, " 314.1593E-12"),
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(f * 10 ** -9, " 3.1416E-09"),
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(f * 10 ** -8, " 31.4159E-09"),
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(f * 10 ** -7, " 314.1593E-09"),
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(f * 10 ** -6, " 3.1416E-06"),
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(f * 10 ** -5, " 31.4159E-06"),
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(f * 10 ** -4, " 314.1593E-06"),
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(f * 10 ** -3, " 3.1416E-03"),
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(f * 10 ** -2, " 31.4159E-03"),
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(f * 10 ** -1, " 314.1593E-03"),
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(f * 10 ** 0, " 3.1416E+00"),
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(f * 10 ** 1, " 31.4159E+00"),
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(f * 10 ** 2, " 314.1593E+00"),
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(f * 10 ** 3, " 3.1416E+03"),
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(f * 10 ** 4, " 31.4159E+03"),
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(f * 10 ** 5, " 314.1593E+03"),
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(f * 10 ** 6, " 3.1416E+06"),
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(f * 10 ** 7, " 31.4159E+06"),
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(f * 10 ** 8, " 314.1593E+06"),
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(f * 10 ** 9, " 3.1416E+09"),
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(f * 10 ** 10, " 31.4159E+09"),
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(f * 10 ** 11, " 314.1593E+09"),
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(f * 10 ** 12, " 3.1416E+12"),
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(f * 10 ** 13, " 31.4159E+12"),
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(f * 10 ** 14, " 314.1593E+12"),
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(f * 10 ** 15, " 3.1416E+15"),
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(f * 10 ** 16, " 31.4159E+15"),
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(f * 10 ** 17, " 314.1593E+15"),
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(f * 10 ** 18, " 3.1416E+18"),
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(f * 10 ** 19, " 31.4159E+18"),
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(f * 10 ** 20, " 314.1593E+18"),
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(f * 10 ** 21, " 3.1416E+21"),
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(f * 10 ** 22, " 31.4159E+21"),
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(f * 10 ** 23, " 314.1593E+21"),
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(f * 10 ** 24, " 3.1416E+24"),
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(f * 10 ** 25, " 31.4159E+24"),
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(f * 10 ** 26, " 314.1593E+24")]
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self.compare_all(formatter, in_out)
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def test_rounding(self):
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formatter = fmt.EngFormatter(accuracy=3, use_eng_prefix=True)
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in_out = [(5.55555, ' 5.556'), (55.5555, ' 55.556'),
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(555.555, ' 555.555'), (5555.55, ' 5.556k'),
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(55555.5, ' 55.556k'), (555555, ' 555.555k')]
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self.compare_all(formatter, in_out)
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formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
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in_out = [(5.55555, ' 5.6'), (55.5555, ' 55.6'), (555.555, ' 555.6'),
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(5555.55, ' 5.6k'), (55555.5, ' 55.6k'), (555555, ' 555.6k')]
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self.compare_all(formatter, in_out)
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formatter = fmt.EngFormatter(accuracy=0, use_eng_prefix=True)
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in_out = [(5.55555, ' 6'), (55.5555, ' 56'), (555.555, ' 556'),
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(5555.55, ' 6k'), (55555.5, ' 56k'), (555555, ' 556k')]
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self.compare_all(formatter, in_out)
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formatter = fmt.EngFormatter(accuracy=3, use_eng_prefix=True)
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result = formatter(0)
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self.assertEqual(result, u(' 0.000'))
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def test_nan(self):
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# Issue #11981
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formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
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result = formatter(np.nan)
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self.assertEqual(result, u('NaN'))
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df = pd.DataFrame({'a': [1.5, 10.3, 20.5],
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'b': [50.3, 60.67, 70.12],
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'c': [100.2, 101.33, 120.33]})
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pt = df.pivot_table(values='a', index='b', columns='c')
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fmt.set_eng_float_format(accuracy=1)
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result = pt.to_string()
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self.assertTrue('NaN' in result)
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self.reset_display_options()
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def test_inf(self):
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# Issue #11981
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formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
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result = formatter(np.inf)
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self.assertEqual(result, u('inf'))

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