def test_get_cmaps_category_descr(self): cmaps = get_cmaps() self.assertEqual( cmaps[0][1], 'For many applications, a perceptually uniform colormap is the best choice - ' 'one in which equal steps in data are perceived as equal steps in the color ' 'space')
def test_get_cmaps_categories(self): cmaps = get_cmaps() self.assertGreaterEqual(len(cmaps), 6) self.assertEqual(cmaps[0][0], 'Perceptually Uniform Sequential') self.assertEqual(cmaps[1][0], 'Sequential 1') self.assertEqual(cmaps[2][0], 'Sequential 2') self.assertEqual(cmaps[3][0], 'Diverging') self.assertEqual(cmaps[4][0], 'Qualitative') self.assertEqual(cmaps[5][0], 'Miscellaneous')
def test_get_cmaps_categories(self): cmaps = get_cmaps() self.assertGreaterEqual(len(cmaps), 6) self.assertEqual(cmaps[0][0], 'Perceptually Uniform Sequential') self.assertEqual(cmaps[1][0], 'Sequential 1') self.assertEqual(cmaps[2][0], 'Sequential 2') self.assertEqual(cmaps[3][0], 'Diverging') self.assertEqual(cmaps[4][0], 'Qualitative') self.assertEqual(cmaps[5][0], 'Miscellaneous')
def test_get_cmaps_category_tuples(self): cmaps = get_cmaps() category_tuple = cmaps[0][2] self.assertEqual(len(category_tuple), 4) self.assertEqual(category_tuple[0][0], 'viridis') self.assertEqual(category_tuple[0][1], 'iVBORw0KGgoAAAANSUhEUgAAAQAAAAACCAYAAAC3zQLZAAAAzklEQVR4nO2TQZLFIAhEX7dXmyPM/Y8SZwEqMcnU3/9QZTU8GszC6Ee/HQlk5FAsJIENqVGv/piZ3uqf3nX6Vtd+l8D8UwNOLhZL3+BLh796OXvMdWaqtrrqnZ/tjvuZT/0XxnN/5f25z9X7tIMTKzV7/5yrME3NHoPlUzvplgOevOcz6ZO5eCqzOmark1nHDQveHuuYaazZkTcdmE110HJu6doR3tgfPHyL51zNc0fd2xjf0vPukUPL36YBTcpcWArFyY0RTca88cYbXxt/gUOJC8yRF1kAAAAASUVORK5CYII=') self.assertEqual(category_tuple[1][0], 'inferno') self.assertEqual(category_tuple[2][0], 'plasma') self.assertEqual(category_tuple[3][0], 'magma')
def test_get_cmaps_category_tuples(self): cmaps = get_cmaps() category_tuple = cmaps[0][2] self.assertEqual(len(category_tuple), 4) self.assertEqual(category_tuple[0][0], 'viridis') self.assertEqual(category_tuple[0][1], 'iVBORw0KGgoAAAANSUhEUgAAAQAAAAACCAYAAAC3zQLZAAAAzklEQVR4nO2TQZLFIAhEX7dXmyPM/Y8SZwEqMcnU3/9QZTU8GszC6Ee/HQlk5FAsJIENqVGv/piZ3uqf3nX6Vtd+l8D8UwNOLhZL3+BLh796OXvMdWaqtrrqnZ/tjvuZT/0XxnN/5f25z9X7tIMTKzV7/5yrME3NHoPlUzvplgOevOcz6ZO5eCqzOmark1nHDQveHuuYaazZkTcdmE110HJu6doR3tgfPHyL51zNc0fd2xjf0vPukUPL36YBTcpcWArFyY0RTca88cYbXxt/gUOJC8yRF1kAAAAASUVORK5CYII=') self.assertEqual(category_tuple[1][0], 'inferno') self.assertEqual(category_tuple[2][0], 'plasma') self.assertEqual(category_tuple[3][0], 'magma')
def main(): cmaps = get_cmaps() html_head = '<!DOCTYPE html>\n' + \ '<html lang="en">\n' + \ '<head>' + \ '<meta charset="UTF-8">' + \ '<title>matplotlib Color Maps</title>' + \ '</head>\n' + \ '<body style="padding: 0.2em">\n' html_body = '' html_foot = '</body>\n' + \ '</html>\n' for cmap_cat, cmap_desc, cmap_bars in cmaps: html_body += ' <h2>%s</h2>\n' % cmap_cat html_body += ' <p><i>%s</i></p>\n' % cmap_desc html_body += ' <table style=border: 0">\n' for cmap_bar in cmap_bars: cmap_name, cmap_data = cmap_bar cmap_image = '<img src="data:image/png;base64,%s" width="100%%" height="20px"/>' % cmap_data html_body += ' <tr><td style="width: 5em">%s:</td><td style="width: 40em">%s</td></tr>\n' % ( cmap_name, cmap_image) html_body += ' </table>\n' html_page = html_head + html_body + html_foot html_filename = 'test_cmaps.html' with open(html_filename, 'w') as fp: fp.write(html_page) import webbrowser webbrowser.open_new_tab(html_filename)
def main(): cmaps = get_cmaps() html_head = '<!DOCTYPE html>\n' + \ '<html lang="en">\n' + \ '<head>' + \ '<meta charset="UTF-8">' + \ '<title>matplotlib Color Maps</title>' + \ '</head>\n' + \ '<body style="padding: 0.2em">\n' html_body = '' html_foot = '</body>\n' + \ '</html>\n' for cmap_cat, cmap_desc, cmap_bars in cmaps: html_body += ' <h2>%s</h2>\n' % cmap_cat html_body += ' <p><i>%s</i></p>\n' % cmap_desc html_body += ' <table style=border: 0">\n' for cmap_bar in cmap_bars: cmap_name, cmap_data = cmap_bar cmap_image = '<img src="data:image/png;base64,%s" width="100%%" height="20px"/>' % cmap_data html_body += ' <tr><td style="width: 5em">%s:</td><td style="width: 40em">%s</td></tr>\n' % ( cmap_name, cmap_image) html_body += ' </table>\n' html_page = html_head + html_body + html_foot html_filename = 'test_cmaps.html' with open(html_filename, 'w') as fp: fp.write(html_page) import webbrowser webbrowser.open_new_tab(html_filename)
def test_get_cmaps_returns_singleton(self): cmaps = get_cmaps() self.assertIs(cmaps, get_cmaps()) self.assertIs(cmaps, get_cmaps())
def test_get_cmaps_category_descr(self): cmaps = get_cmaps() self.assertEqual(cmaps[0][1], 'For many applications, a perceptually uniform colormap is the best choice - ' 'one in which equal steps in data are perceived as equal steps in the color ' 'space')
def test_get_cmaps_retruns_equal_size_recs(self): cmaps = get_cmaps() rec_len = len(cmaps[0]) self.assertEqual(rec_len, 3) for cmap in cmaps: self.assertEqual(len(cmap), rec_len)
def get_color_maps(self): from cate.util.im.cmaps import get_cmaps return get_cmaps()
def test_get_cmaps_returns_singleton(self): cmaps = get_cmaps() self.assertIs(cmaps, get_cmaps()) self.assertIs(cmaps, get_cmaps())
def test_get_cmaps_retruns_equal_size_recs(self): cmaps = get_cmaps() rec_len = len(cmaps[0]) self.assertEqual(rec_len, 3) for cmap in cmaps: self.assertEqual(len(cmap), rec_len)