Coverage for tests / test_scatterPlot.py: 25%

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1# This file is part of analysis_drp. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

5# (https://www.lsst.org). 

6# See the COPYRIGHT file at the top-level directory of this distribution 

7# for details of code ownership. 

8# 

9# This program is free software: you can redistribute it and/or modify 

10# it under the terms of the GNU General Public License as published by 

11# the Free Software Foundation, either version 3 of the License, or 

12# (at your option) any later version. 

13# 

14# This program is distributed in the hope that it will be useful, 

15# but WITHOUT ANY WARRANTY; without even the implied warranty of 

16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

17# GNU General Public License for more details. 

18# 

19# You should have received a copy of the GNU General Public License 

20# along with this program. If not, see <https://www.gnu.org/licenses/>. 

21 

22 

23import os 

24import shutil 

25import tempfile 

26import unittest 

27 

28import lsst.utils.tests 

29import matplotlib 

30import matplotlib.pyplot as plt 

31import numpy as np 

32import pandas as pd 

33from lsst.analysis.tools.actions.plot.plotUtils import get_and_remove_figure_text 

34from lsst.analysis.tools.actions.plot.scatterplotWithTwoHists import ( 

35 ScatterPlotStatsAction, 

36 ScatterPlotWithTwoHists, 

37) 

38from lsst.analysis.tools.actions.vector.mathActions import ConstantValue, DivideVector, SubtractVector 

39from lsst.analysis.tools.actions.vector.selectors import ( 

40 GalaxySelector, 

41 SnSelector, 

42 StarSelector, 

43 VectorSelector, 

44) 

45from lsst.analysis.tools.actions.vector.vectorActions import ConvertFluxToMag, DownselectVector, LoadVector 

46from lsst.analysis.tools.interfaces import AnalysisTool 

47from lsst.analysis.tools.math import sqrt 

48 

49matplotlib.use("Agg") 

50 

51ROOT = os.path.abspath(os.path.dirname(__file__)) 

52filename_texts_ref = os.path.join(ROOT, "data", "test_scatterPlot_texts.txt") 

53path_lines_ref = os.path.join(ROOT, "data", "test_scatterPlot_lines") 

54 

55 

56class ScatterPlotWithTwoHistsTaskTestCase(lsst.utils.tests.TestCase): 

57 """ScatterPlotWithTwoHistsTask test case.""" 

58 

59 def setUp(self): 

60 self.testDir = tempfile.mkdtemp(dir=ROOT, prefix="test_output") 

61 

62 # Set up a quasi-plausible measurement catalog 

63 mag = 12.5 + 2.5 * np.log10(np.arange(10, 100000)) 

64 flux = 10 ** (-0.4 * (mag - (mag[-1] + 1))) 

65 rng = np.random.default_rng(0) 

66 extendedness = 0.0 + (rng.uniform(size=len(mag)) < 0.99 * (mag - mag[0]) / (mag[-1] - mag[0])) 

67 flux_meas = flux + rng.normal(scale=np.sqrt(flux * (1 + extendedness))) 

68 flux_err = sqrt(flux_meas * (1 + extendedness)) 

69 good = (flux_meas / sqrt(flux * (1 + extendedness))) > 3 

70 extendedness = extendedness[good] 

71 flux = flux[good] 

72 flux_meas = flux_meas[good] 

73 flux_err = flux_err[good] 

74 

75 suffix_x, suffix_y, suffix_stat = "_x", "_y", "_stat" 

76 

77 # Configure the plot to show observed vs true mags 

78 action = ScatterPlotWithTwoHists( 

79 xAxisLabel="mag", 

80 yAxisLabel="mag meas - ref", 

81 magLabel="mag", 

82 plotTypes=[ 

83 "galaxies", 

84 "stars", 

85 ], 

86 xLims=(20, 30), 

87 yLims=(-1000, 1000), 

88 addSummaryPlot=False, 

89 # Make sure adding a suffix works to produce multiple plots 

90 suffix_x=suffix_x, 

91 suffix_y=suffix_y, 

92 suffix_stat=suffix_stat, 

93 ) 

94 plot = AnalysisTool() 

95 plot.produce.plot = action 

96 

97 # Load the relevant columns 

98 key_flux = "meas_Flux" 

99 plot.process.buildActions.fluxes_meas = LoadVector(vectorKey=key_flux) 

100 plot.process.buildActions.fluxes_err = LoadVector(vectorKey=f"{key_flux}Err") 

101 plot.process.buildActions.fluxes_ref = LoadVector(vectorKey="ref_Flux") 

102 plot.process.buildActions.mags_ref = ConvertFluxToMag( 

103 vectorKey=plot.process.buildActions.fluxes_ref.vectorKey 

104 ) 

105 

106 # Compute the y-axis quantity 

107 plot.process.buildActions.diff = SubtractVector( 

108 actionA=ConvertFluxToMag( 

109 vectorKey=plot.process.buildActions.fluxes_meas.vectorKey, returnMillimags=True 

110 ), 

111 actionB=DivideVector( 

112 actionA=plot.process.buildActions.mags_ref, 

113 actionB=ConstantValue(value=1e-3), 

114 ), 

115 ) 

116 

117 # Filter stars/galaxies, storing quantities separately 

118 plot.process.buildActions.galaxySelector = GalaxySelector(vectorKey="refExtendedness") 

119 plot.process.buildActions.starSelector = StarSelector(vectorKey="refExtendedness") 

120 for singular, plural in (("galaxy", "Galaxies"), ("star", "Stars")): 

121 setattr( 

122 plot.process.filterActions, 

123 f"x{plural}{suffix_x}", 

124 DownselectVector( 

125 vectorKey="mags_ref", selector=VectorSelector(vectorKey=f"{singular}Selector") 

126 ), 

127 ) 

128 setattr( 

129 plot.process.filterActions, 

130 f"y{plural}{suffix_y}", 

131 DownselectVector(vectorKey="diff", selector=VectorSelector(vectorKey=f"{singular}Selector")), 

132 ) 

133 setattr( 

134 plot.process.filterActions, 

135 f"flux{plural}", 

136 DownselectVector( 

137 vectorKey="fluxes_meas", selector=VectorSelector(vectorKey=f"{singular}Selector") 

138 ), 

139 ) 

140 setattr( 

141 plot.process.filterActions, 

142 f"fluxErr{plural}", 

143 DownselectVector( 

144 vectorKey="fluxes_err", selector=VectorSelector(vectorKey=f"{singular}Selector") 

145 ), 

146 ) 

147 

148 # Compute low/high SN summary stats 

149 statAction = ScatterPlotStatsAction( 

150 vectorKey=f"y{plural}{suffix_y}", 

151 fluxType=f"flux{plural}", 

152 highSNSelector=SnSelector(fluxType=f"flux{plural}", threshold=50), 

153 lowSNSelector=SnSelector(fluxType=f"flux{plural}", threshold=20), 

154 suffix=suffix_stat, 

155 ) 

156 setattr(plot.process.calculateActions, plural.lower(), statAction) 

157 

158 data = { 

159 "ref_Flux": flux, 

160 key_flux: flux_meas, 

161 f"{key_flux}Err": flux_err, 

162 "refExtendedness": extendedness, 

163 } 

164 

165 self.data = pd.DataFrame(data) 

166 print(self.data.columns) 

167 self.plot = plot 

168 self.plot.finalize() 

169 plotInfo = {key: "test" for key in ("plotName", "run", "tableName")} 

170 plotInfo["bands"] = [] 

171 self.plotInfo = plotInfo 

172 

173 def tearDown(self): 

174 if os.path.exists(self.testDir): 

175 shutil.rmtree(self.testDir, True) 

176 del self.data 

177 del self.plot 

178 del self.plotInfo 

179 del self.testDir 

180 

181 def test_ScatterPlotWithTwoHistsTask(self): 

182 plt.rcParams.update(plt.rcParamsDefault) 

183 result = self.plot( 

184 data=self.data, 

185 skymap=None, 

186 plotInfo=self.plotInfo, 

187 ) 

188 # unpack the result from the dictionary 

189 result = result[type(self.plot.produce.plot).__name__] 

190 self.assertTrue(isinstance(result, plt.Figure)) 

191 

192 # Set to true to save plots as PNGs 

193 # Use matplotlib.testing.compare.compare_images if needed 

194 save_images = False 

195 if save_images: 

196 result.savefig(os.path.join(ROOT, "data", "test_scatterPlot.png")) 

197 

198 texts, lines = get_and_remove_figure_text(result) 

199 if save_images: 

200 result.savefig(os.path.join(ROOT, "data", "test_scatterPlot_unlabeled.png")) 

201 

202 # Set to true to re-generate reference data 

203 resave = False 

204 

205 # Compare line values 

206 for idx, line in enumerate(lines): 

207 filename = os.path.join(path_lines_ref, f"line_{idx}.txt") 

208 if resave: 

209 np.savetxt(filename, line) 

210 arr = np.loadtxt(filename) 

211 # Differences of order 1e-12 possible between MacOS and Linux 

212 # Plots are generally not expected to be that precise 

213 # Differences to 1e-3 should not be visible with this test data 

214 self.assertFloatsAlmostEqual(arr, line, atol=1e-3, rtol=1e-4) 

215 

216 # Ensure that newlines within labels are replaced by a sentinel 

217 newline = "\n" 

218 newline_replace = "[newline]" 

219 # Compare text labels 

220 if resave: 

221 with open(filename_texts_ref, "w") as f: 

222 f.writelines(f"{text.strip().replace(newline, newline_replace)}\n" for text in texts) 

223 

224 with open(filename_texts_ref, "r") as f: 

225 texts_ref = set(x.strip() for x in f.readlines()) 

226 texts_set = set(x.strip().replace(newline, newline_replace) for x in texts) 

227 

228 self.assertEqual(texts_ref, texts_set) 

229 

230 

231class MemoryTester(lsst.utils.tests.MemoryTestCase): 

232 pass 

233 

234 

235def setup_module(module): 

236 lsst.utils.tests.init() 

237 

238 

239if __name__ == "__main__": 239 ↛ 240line 239 didn't jump to line 240 because the condition on line 239 was never true

240 lsst.utils.tests.init() 

241 unittest.main()