np allclose default, tighten checks

Author: chris-langfield

src/aspire/image/image.py

@@ -343,6 +343,9 @@ def show(self, columns=5, figsize=(20, 10)):
 
         plt.figure(figsize=figsize)
         for i, im in enumerate(self):
+            ax = plt.gca()
+            ax.axes.xaxis.set_visible(False)
+            ax.axes.yaxis.set_visible(False)
             plt.subplot(self.n_images // columns + 1, columns, i + 1)
             plt.imshow(im, cmap="gray")
         plt.show()

tests/test_CtfEstimate.py

@@ -61,18 +61,13 @@ def testEstimateCTF(self):
                     # the following parameters have higher tolerances
 
                     # defocusU
-                    np.allclose(
-                        result["defocus_u"], self.test_output["defocus_u"], atol=5e-2
-                    )
+                    np.allclose(result["defocus_u"], self.test_output["defocus_u"])
                     # defocusV
-                    np.allclose(
-                        result["defocus_v"], self.test_output["defocus_v"], atol=5e-2
-                    )
+                    np.allclose(result["defocus_v"], self.test_output["defocus_v"])
                     # defocusAngle
                     np.allclose(
                         result["defocus_ang"],
                         self.test_output["defocus_ang"],
-                        atol=5e-5,
                     )
 
                     for param in ["cs", "amplitude_contrast", "voltage", "pixel_size"]: