/usr/lib/python3/dist-packages/matplotlib/tests/test_ticker.py is in python3-matplotlib 1.5.1-1ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
import nose.tools
from nose.tools import assert_raises
from numpy.testing import assert_almost_equal
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
from matplotlib.testing.decorators import cleanup
import warnings
def test_MaxNLocator():
loc = mticker.MaxNLocator(nbins=5)
test_value = np.array([20., 40., 60., 80., 100.])
assert_almost_equal(loc.tick_values(20, 100), test_value)
test_value = np.array([0., 0.0002, 0.0004, 0.0006, 0.0008, 0.001])
assert_almost_equal(loc.tick_values(0.001, 0.0001), test_value)
test_value = np.array([-1.0e+15, -5.0e+14, 0e+00, 5e+14, 1.0e+15])
assert_almost_equal(loc.tick_values(-1e15, 1e15), test_value)
def test_LinearLocator():
loc = mticker.LinearLocator(numticks=3)
test_value = np.array([-0.8, -0.3, 0.2])
assert_almost_equal(loc.tick_values(-0.8, 0.2), test_value)
def test_MultipleLocator():
loc = mticker.MultipleLocator(base=3.147)
test_value = np.array([-9.441, -6.294, -3.147, 0., 3.147, 6.294,
9.441, 12.588])
assert_almost_equal(loc.tick_values(-7, 10), test_value)
@cleanup
def test_AutoMinorLocator():
fig, ax = plt.subplots()
ax.set_xlim(0, 1.39)
ax.minorticks_on()
test_value = np.array([0.05, 0.1, 0.15, 0.25, 0.3, 0.35, 0.45,
0.5, 0.55, 0.65, 0.7, 0.75, 0.85, 0.9,
0.95, 1, 1.05, 1.1, 1.15, 1.25, 1.3, 1.35])
assert_almost_equal(ax.xaxis.get_ticklocs(minor=True), test_value)
def test_LogLocator():
loc = mticker.LogLocator(numticks=5)
assert_raises(ValueError, loc.tick_values, 0, 1000)
test_value = np.array([1.00000000e-05, 1.00000000e-03, 1.00000000e-01,
1.00000000e+01, 1.00000000e+03, 1.00000000e+05,
1.00000000e+07, 1.000000000e+09])
assert_almost_equal(loc.tick_values(0.001, 1.1e5), test_value)
loc = mticker.LogLocator(base=2)
test_value = np.array([0.5, 1., 2., 4., 8., 16., 32., 64., 128., 256.])
assert_almost_equal(loc.tick_values(1, 100), test_value)
def test_LinearLocator_set_params():
"""
Create linear locator with presets={}, numticks=2 and change it to
something else. See if change was successful. Should not exception.
"""
loc = mticker.LinearLocator(numticks=2)
loc.set_params(numticks=8, presets={(0, 1): []})
nose.tools.assert_equal(loc.numticks, 8)
nose.tools.assert_equal(loc.presets, {(0, 1): []})
def test_LogLocator_set_params():
"""
Create log locator with default value, base=10.0, subs=[1.0], numdecs=4,
numticks=15 and change it to something else.
See if change was successful.
Should not exception.
"""
loc = mticker.LogLocator()
loc.set_params(numticks=8, numdecs=8, subs=[2.0], base=8)
nose.tools.assert_equal(loc.numticks, 8)
nose.tools.assert_equal(loc.numdecs, 8)
nose.tools.assert_equal(loc.base, 8)
nose.tools.assert_equal(loc.subs, [2.0])
def test_NullLocator_set_params():
"""
Create null locator, and attempt to call set_params() on it.
Should not exception, and should raise a warning.
"""
loc = mticker.NullLocator()
with warnings.catch_warnings(record=True) as w:
loc.set_params()
nose.tools.assert_equal(len(w), 1)
def test_MultipleLocator_set_params():
"""
Create multiple locator with 0.7 base, and change it to something else.
See if change was successful.
Should not exception.
"""
mult = mticker.MultipleLocator(base=0.7)
mult.set_params(base=1.7)
nose.tools.assert_equal(mult._base, 1.7)
def test_LogitLocator_set_params():
"""
Create logit locator with default minor=False, and change it to something
else. See if change was successful. Should not exception.
"""
loc = mticker.LogitLocator() # Defaults to false.
loc.set_params(minor=True)
nose.tools.assert_true(loc.minor)
def test_FixedLocator_set_params():
"""
Create fixed locator with 5 nbins, and change it to something else.
See if change was successful.
Should not exception.
"""
fixed = mticker.FixedLocator(range(0, 24), nbins=5)
fixed.set_params(nbins=7)
nose.tools.assert_equal(fixed.nbins, 7)
def test_IndexLocator_set_params():
"""
Create index locator with 3 base, 4 offset. and change it to something
else. See if change was successful.
Should not exception.
"""
index = mticker.IndexLocator(base=3, offset=4)
index.set_params(base=7, offset=7)
nose.tools.assert_equal(index._base, 7)
nose.tools.assert_equal(index.offset, 7)
def test_SymmetricalLogLocator_set_params():
"""
Create symmetrical log locator with default subs =[1.0] numticks = 15,
and change it to something else.
See if change was successful.
Should not exception.
"""
# since we only test for the params change. I will pass empty transform
sym = mticker.SymmetricalLogLocator(None)
sym.set_params(subs=[2.0], numticks=8)
nose.tools.assert_equal(sym._subs, [2.0])
nose.tools.assert_equal(sym.numticks, 8)
def test_LogFormatterExponent():
class FakeAxis(object):
"""Allow Formatter to be called without having a "full" plot set up."""
def get_view_interval(self):
return 1, 10
i = np.arange(-3, 4, dtype=float)
expected_result = ['-3', '-2', '-1', '0', '1', '2', '3']
for base in [2, 5, 10, np.pi, np.e]:
formatter = mticker.LogFormatterExponent(base=base)
formatter.axis = FakeAxis()
vals = base**i
labels = [formatter(x, pos) for (x, pos) in zip(vals, i)]
nose.tools.assert_equal(labels, expected_result)
# Should be a blank string for non-integer powers if labelOnlyBase=True
formatter = mticker.LogFormatterExponent(base=10, labelOnlyBase=True)
formatter.axis = FakeAxis()
nose.tools.assert_equal(formatter(10**0.1), '')
# Otherwise, non-integer powers should be nicely formatted
locs = np.array([0.1, 0.00001, np.pi, 0.2, -0.2, -0.00001])
i = range(len(locs))
expected_result = ['0.1', '1e-05', '3.14', '0.2', '-0.2', '-1e-05']
for base in [2, 5, 10, np.pi, np.e]:
formatter = mticker.LogFormatterExponent(base, labelOnlyBase=False)
formatter.axis = FakeAxis()
vals = base**locs
labels = [formatter(x, pos) for (x, pos) in zip(vals, i)]
nose.tools.assert_equal(labels, expected_result)
def test_use_offset():
for use_offset in [True, False]:
with matplotlib.rc_context({'axes.formatter.useoffset': use_offset}):
tmp_form = mticker.ScalarFormatter()
nose.tools.assert_equal(use_offset, tmp_form.get_useOffset())
def test_formatstrformatter():
# test % style formatter
tmp_form = mticker.FormatStrFormatter('%05d')
nose.tools.assert_equal('00002', tmp_form(2))
# test str.format() style formatter
tmp_form = mticker.StrMethodFormatter('{x:05d}')
nose.tools.assert_equal('00002', tmp_form(2))
if __name__ == '__main__':
import nose
nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
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