Python PCA.__repr__示例

示例#1

文件： test_pca.py 项目： timgates42/statsmodels

 def test_smoke_plot_and_repr(self, close_figures):
     pc = PCA(self.x)
     fig = pc.plot_scree()
     fig = pc.plot_scree(ncomp=10)
     fig = pc.plot_scree(log_scale=False)
     fig = pc.plot_scree(cumulative=True)
     fig = pc.plot_rsquare()
     fig = pc.plot_rsquare(ncomp=5)
     # Additional smoke test
     pc.__repr__()
     pc = PCA(self.x, standardize=False)
     pc.__repr__()
     pc = PCA(self.x, standardize=False, demean=False)
     pc.__repr__()
     pc = PCA(self.x, ncomp=2, gls=True)
     assert "GLS" in pc.__repr__()
     # Check data for no changes
     assert_equal(self.x, pc.data)

示例#2

文件： test_pca.py 项目： kshedden/statsmodels

 def test_smoke_plot_and_repr(self, close_figures):
     pc = PCA(self.x)
     fig = pc.plot_scree()
     fig = pc.plot_scree(ncomp=10)
     fig = pc.plot_scree(log_scale=False)
     fig = pc.plot_scree(cumulative=True)
     fig = pc.plot_rsquare()
     fig = pc.plot_rsquare(ncomp=5)
     # Additional smoke test
     pc.__repr__()
     pc = PCA(self.x, standardize=False)
     pc.__repr__()
     pc = PCA(self.x, standardize=False, demean=False)
     pc.__repr__()
     # Check data for no changes
     assert_equal(self.x, pc.data)