Remove the unused functions from ccdproc tutorials

09c-Ccdproc/01-ccdproc-overview.ipynb

@@ -63,6 +63,7 @@
     "# Initial imports -- note the import of CCDData from astropy \n",
     "from astropy.nddata import CCDData\n",
     "from astropy import units as u\n",
+    "from astropy import visualization\n",
     "import ccdproc as ccdp\n",
     "\n",
     "from matplotlib import pyplot as plt\n",
@@ -72,10 +73,7 @@
     "\n",
     "# Use this instead for interactive plots, but note that you may need \n",
     "# to install ipympl for it to work\n",
-    "# %matplotlib widget\n",
-    "\n",
-    "# This function displays  images reasonably nicely with minimal effort\n",
-    "from convenience_functions import show_image"
+    "# %matplotlib widget"
    ]
   },
   {
@@ -154,7 +152,7 @@
    "source": [
     "#### Displaying images\n",
     "\n",
-    "Images from a telescope are typically very different, in terms of the histogram of values, than other images. The function `show_image`, included along with this notebook, scales and stretches the data to bring out some of the detail that is not visible using matplotlib defaults."
+    "Images from a telescope are typically very different, in terms of the histogram of values, than other images. The astropy sub-package `astropy.visualization` includes functions that scale and stretch the data to bring out some of the detail that is not visible using matplotlib defaults.  We use the simple interface `imshow_norm()`, but see the [astropy.visualization docs](https://docs.astropy.org/en/stable/visualization/index.html) for more on what can be done here."
    ]
   },
   {
@@ -163,7 +161,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "show_image(raw_stars)"
+    "plt.figure(figsize=(10,10))\n",
+    "im, _ = visualization.imshow_norm(raw_stars.data, \n",
+    "                          interval=visualization.PercentileInterval(99), \n",
+    "                          stretch=visualization.LinearStretch())\n",
+    "plt.colorbar(im);"
    ]
   },
   {
@@ -255,7 +257,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "show_image(stars_minus_bias)"
+    "plt.figure(figsize=(10,10))\n",
+    "im, _ = visualization.imshow_norm(stars_minus_bias.data, \n",
+    "                          interval=visualization.PercentileInterval(99), \n",
+    "                          stretch=visualization.LinearStretch())\n",
+    "plt.colorbar(im);"
    ]
   },
   {
@@ -309,7 +315,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "show_image(stars_minus_bias_minus_dark)"
+    "plt.figure(figsize=(10,10))\n",
+    "im, _ = visualization.imshow_norm(stars_minus_bias_minus_dark.data, \n",
+    "                          interval=visualization.PercentileInterval(99), \n",
+    "                          stretch=visualization.LinearStretch())\n",
+    "plt.colorbar(im);"
    ]
   },
   {
@@ -359,7 +369,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "show_image(stars_calibrated)"
+    "plt.figure(figsize=(10,10))\n",
+    "im, _ = visualization.imshow_norm(stars_calibrated.data, \n",
+    "                          interval=visualization.PercentileInterval(99), \n",
+    "                          stretch=visualization.LinearStretch())\n",
+    "plt.colorbar(im);"
    ]
   },
   {
@@ -536,7 +550,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -550,7 +564,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,

09c-Ccdproc/02-image-combination.ipynb

@@ -56,6 +56,7 @@
     "from astropy.nddata import CCDData\n",
     "from astropy import units as u\n",
     "from astropy.stats import mad_std\n",
+    "from astropy import visualization\n",
     "\n",
     "import ccdproc as ccdp\n",
     "\n",
@@ -67,10 +68,7 @@
     "# Use this instead for interactive plots, but note that you may need \n",
     "# to install ipympl for it to work\n",
     "\n",
-    "# %matplotlib widget\n",
-    "\n",
-    "# This function display reasonably nicely with minimal effort\n",
-    "from convenience_functions import show_image"
+    "# %matplotlib widget"
    ]
   },
   {
@@ -259,14 +257,17 @@
    "source": [
     "fig, axes = plt.subplots(1, 2, sharey=True, tight_layout=True, figsize=(20, 10))\n",
     "\n",
-    "# Dsiplay the first of the bias images\n",
-    "show_image(images_to_combine[0].data, ax=axes[0], fig=fig)\n",
+    "im1, _ = visualization.imshow_norm(images_to_combine[0].data, ax=axes[0], \n",
+    "                                   interval=visualization.PercentileInterval(99),\n",
+    "                                   stretch=visualization.LinearStretch())\n",
+    "plt.colorbar(im1, ax=axes[0])\n",
     "axes[0].set_title('Single bias images')\n",
     "\n",
-    "# Display the combined image -- the perceintile for the low end of the color bar is set\n",
-    "# so as to make the range of the data the same in each case.\n",
-    "show_image(combined_images, ax=axes[1], fig=fig, percl=99.5)\n",
-    "axes[1].set_title('Combined biases')"
+    "im2, _ = visualization.imshow_norm(combined_images, ax=axes[1], \n",
+    "                                   interval=visualization.PercentileInterval(99.5),\n",
+    "                                   stretch=visualization.LinearStretch())\n",
+    "plt.colorbar(im2, ax=axes[1])\n",
+    "axes[1].set_title('Combined biases');"
    ]
   },
   {
@@ -310,7 +311,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -324,7 +325,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,

09c-Ccdproc/ccd_process_solution.py

@@ -7,4 +7,9 @@
                                     exposure_key='exposure', exposure_unit=u.second,
                                     dark_scale=True,
                                     master_flat=flat)
-show_image(stars_calibrated)  # this should look just like the previous version
+
+plt.figure(figsize=(10,10))
+im, _ = visualization.imshow_norm(stars_calibrated.data, 
+                          interval=visualization.PercentileInterval(99), 
+                          stretch=visualization.LinearStretch())
+plt.colorbar(im);