Merge pull request #409 from mwcraig/updates-for-jb-1.0.4

Updates for jb 1.0.4 and other minor cleanup

Author: mwcraig

.github/workflows/ci_tests.yml

@@ -47,10 +47,9 @@ jobs:
       shell: bash -l {0}
       run: |
         conda install -c conda-forge mamba
-        mamba install --quiet -c conda-forge astroquery ccdproc photutils sphinx sphinxcontrib-bibtex jupyter-book=1
+        mamba install --quiet -c conda-forge astroquery ccdproc photutils sphinx sphinxcontrib-bibtex "jupyter-book>=1.0.4,<2"
         conda list
         conda info -e
-        # python -m pip install jupyter-book==0.12.1
     - name: Cache
       id: cache
       uses: actions/cache@v4

_config.yml

@@ -65,10 +65,11 @@ html:
     <a href="http://creativecommons.org/licenses/by/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY 4.0
     <img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1">
     <img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1"></a></p>
-  google_analytics_id       : ""  # A GA id that can be used to track book views.
+
   home_page_in_navbar       : true  # Whether to include your home page in the left Navigation Bar
   baseurl                   : ""  # The base URL where your book will be hosted. Used for creating image previews and social links. e.g.: https://mypage.com/mybook/
   analytics:
+    google_analytics_id     : ""  # A GA id that can be used to track book views.
 
   comments:
     hypothesis              : false

notebooks/photometry/01.01.02-Background-estimation-XDF.ipynb

@@ -44,7 +44,6 @@
    "source": [
     "import numpy as np\n",
     "\n",
-    "from astropy.io import fits\n",
     "from astropy.nddata import CCDData\n",
     "import astropy.units as u\n",
     "from astropy.stats import sigma_clipped_stats, SigmaClip\n",

notebooks/photometry/01.01.03-Background-estimation-FEDER.ipynb

@@ -38,13 +38,11 @@
    "source": [
     "import numpy as np\n",
     "\n",
-    "from astropy.io import fits\n",
     "from astropy.nddata import CCDData\n",
     "import astropy.units as u\n",
     "from astropy.stats import sigma_clipped_stats, SigmaClip\n",
-    "from astropy.visualization import ImageNormalize, LogStretch, AsymmetricPercentileInterval\n",
+    "from astropy.visualization import ImageNormalize, AsymmetricPercentileInterval\n",
     "import matplotlib.pyplot as plt\n",
-    "from matplotlib.ticker import LogLocator\n",
     "\n",
     "from photutils.segmentation import detect_threshold, detect_sources\n",
     "from photutils.utils import circular_footprint\n",

notebooks/photometry/01.02.01-IRAF-like-simulated-image.ipynb

@@ -48,15 +48,15 @@
    "source": [
     "from astropy.stats import sigma_clipped_stats, gaussian_sigma_to_fwhm\n",
     "from astropy.table import QTable\n",
-    "from astropy.visualization import simple_norm, SqrtStretch\n",
+    "from astropy.visualization import SqrtStretch\n",
     "from astropy.visualization.mpl_normalize import ImageNormalize\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
     "from photutils.aperture import CircularAperture, EllipticalAperture\n",
-    "from photutils.datasets import make_100gaussians_image, make_gaussian_sources_image\n",
-    "from photutils.detection import find_peaks, DAOStarFinder\n",
+    "from photutils.datasets import make_100gaussians_image\n",
+    "from photutils.detection import DAOStarFinder\n",
     "\n",
     "plt.style.use('../photutils_notebook_style.mplstyle')"
    ]

notebooks/photometry/01.02.02-IRAF-like-source-detection-XDF.ipynb

@@ -42,16 +42,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from astropy.io import fits\n",
-    "import astropy.units as u\n",
     "from astropy.nddata import CCDData\n",
-    "from astropy.stats import sigma_clipped_stats, SigmaClip\n",
     "from astropy.visualization import ImageNormalize, LogStretch\n",
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.ticker import LogLocator\n",
     "import numpy as np\n",
     "\n",
-    "from photutils.background import Background2D, MeanBackground\n",
     "from photutils.detection import DAOStarFinder, IRAFStarFinder\n",
     "\n",
     "# Show plots in the notebook\n",

notebooks/photometry/01.02.03-Source-detection-FEDER.ipynb

@@ -42,19 +42,14 @@
    "source": [
     "import numpy as np\n",
     "\n",
-    "from astropy.io import fits\n",
     "from astropy.nddata import CCDData\n",
-    "import astropy.units as u\n",
     "from astropy.stats import sigma_clipped_stats, SigmaClip\n",
-    "from astropy.visualization import ImageNormalize, LogStretch, AsymmetricPercentileInterval\n",
+    "from astropy.visualization import ImageNormalize, AsymmetricPercentileInterval\n",
     "import matplotlib.pyplot as plt\n",
-    "from matplotlib.ticker import LogLocator\n",
     "\n",
     "from photutils.aperture import CircularAperture\n",
     "from photutils.background import Background2D, MeanBackground\n",
     "from photutils.detection import DAOStarFinder\n",
-    "from photutils.segmentation import detect_threshold, detect_sources\n",
-    "from photutils.utils import circular_footprint\n",
     "\n",
     "# Show plots in the notebook\n",
     "%matplotlib inline"

notebooks/photometry/01.03.01-peak_detection-simulated-image.ipynb

@@ -31,17 +31,14 @@
    "source": [
     "import warnings\n",
     "\n",
-    "from astropy.stats import sigma_clipped_stats, gaussian_sigma_to_fwhm\n",
-    "from astropy.table import QTable\n",
-    "from astropy.visualization import simple_norm, SqrtStretch\n",
+    "from astropy.stats import sigma_clipped_stats\n",
+    "from astropy.visualization import SqrtStretch\n",
     "from astropy.visualization.mpl_normalize import ImageNormalize\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
     "\n",
-    "from photutils.aperture import CircularAperture, EllipticalAperture\n",
     "from photutils.centroids import centroid_2dg\n",
-    "from photutils.datasets import make_100gaussians_image, make_gaussian_sources_image\n",
+    "from photutils.datasets import make_100gaussians_image\n",
     "from photutils.detection import find_peaks, DAOStarFinder\n",
     "\n",
     "plt.style.use('../photutils_notebook_style.mplstyle')"

notebooks/photometry/01.03.02-peak_detection-XDF.ipynb

@@ -36,16 +36,14 @@
     "import warnings\n",
     "\n",
     "from astropy.nddata import CCDData\n",
-    "from astropy.stats import sigma_clipped_stats, SigmaClip\n",
-    "import astropy.units as u\n",
+    "from astropy.stats import sigma_clipped_stats\n",
     "from astropy.visualization import ImageNormalize, LogStretch\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.ticker import LogLocator\n",
     "\n",
     "import numpy as np\n",
     "\n",
-    "from photutils.background import Background2D, MeanBackground\n",
     "from photutils.centroids import centroid_2dg\n",
     "from photutils.detection import find_peaks, DAOStarFinder, IRAFStarFinder\n",
     "\n",

notebooks/photometry/01.03.03-peak_detection-Feder.ipynb

@@ -30,18 +30,14 @@
     "import warnings\n",
     "\n",
     "from astropy.nddata import CCDData\n",
-    "from astropy.stats import sigma_clipped_stats, gaussian_sigma_to_fwhm, SigmaClip\n",
-    "from astropy.table import QTable\n",
-    "from astropy.visualization import simple_norm, SqrtStretch\n",
+    "from astropy.stats import sigma_clipped_stats, SigmaClip\n",
     "from astropy.visualization.mpl_normalize import AsymmetricPercentileInterval, ImageNormalize\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
-    "from photutils.aperture import CircularAperture, EllipticalAperture\n",
     "from photutils.background import Background2D, MeanBackground\n",
     "from photutils.centroids import centroid_2dg\n",
-    "from photutils.datasets import make_100gaussians_image, make_gaussian_sources_image\n",
     "from photutils.detection import find_peaks, DAOStarFinder\n",
     "\n",
     "plt.style.use('../photutils_notebook_style.mplstyle')"