Add updated animation with buttons to doc; fix plotting docs build.

doc/_static/css/custom.css

@@ -0,0 +1,17 @@
+div.initial {}
+
+div.itemBox {
+    display: none;
+
+}
+
+.item_image {
+    width: 70vw;
+    height: auto;
+}
+
+button {
+    font-size: 1.5vw;
+    border-radius: 0.25vw;
+    color: white;
+}

doc/animate_nbands.html

@@ -0,0 +1,65 @@
+
+
+
+    <div style="margin:auto;">
+        <p>
+        <h2 align="center">
+         <br> &rarr;
+        <button type="button" style="background-color: #9e9a9a;" id ="button1" href="javascript:alert('t');return false"
+          alt="n1" onclick="myFunction('1');">One band</button>
+        <button type="button" style="background-color: #9e9a9a;" id ="button2" href="javascript:alert('t');return false"
+          alt="n2" onclick="myFunction('2');">Two bands</button>
+        <button type="button" style="background-color: #9e9a9a;" id ="button3" href="javascript:alert('t');return false"
+          alt="n3" onclick="myFunction('3');">Optical</button>
+        <button type="button" style="background-color: #9e9a9a;" id ="button4" href="javascript:alert('t');return false"
+          alt="n4" onclick="myFunction('4');">Opt/NIR</button>
+        <button type="button" style="background-color: #9e9a9a;" id ="button5" href="javascript:alert('t');return false"
+          alt="n5" onclick="myFunction('5');">UV/Opt/NIR</button>
+        <button type="button" style="background-color: #9e9a9a;" id ="button6" href="javascript:alert('t');return false"
+          alt="n6" onclick="myFunction('6');">UV/Opt/NIR/MIR</button>
+        <button type="button" style="background-color: #9e9a9a;" id ="button7" href="javascript:alert('t');return false"
+          alt="n7" onclick="myFunction('7');">All Bands</button>
+        <button type="button" style="background-color: #228B22;" id ="button0" href="javascript:alert('t');return false"
+          alt="mov" onclick="myFunction('0');">Movie</button>
+        <h2> </div>
+        </p>
+
+        <div class="initial" id="item0" align='center'>
+            <img src="_static/images/animation.gif" alt="First example image" class="item_image" />
+        </div>
+        <div class="itemBox" id="fig1" align='center'>
+            <img src="_static/images/nband1.png" alt="Second example image" class="item_image" id="extra"/>
+        </div>
+
+    </div>
+
+    <script type="text/javascript">
+        function myFunction(itemNo) {
+
+            var item = "item" + itemNo;
+            var buttonName = "button" + itemNo;
+
+            // turn everything off
+            var elements = document.getElementsByTagName("button");
+            for (var i = 0; i < elements.length; i++) {
+                elements[i].style.backgroundColor = "#9e9a9a";
+            }
+            var x = document.getElementsByClassName("initial")[0];
+            x.style.display = "none";
+
+            // Turn the requested thing on
+            var x = document.getElementById(buttonName);
+            x.style.backgroundColor = "#228B22";
+
+            // Change the image source
+            var element = document.getElementsByClassName("itemBox")[0];
+            var image = element.getElementsByClassName("item_image")[0];
+            if (itemNo == "0"){
+                image.src = "_static/images/animation.gif";
+            } else {
+                image.src = "_static/images/nband"+itemNo+".png";
+            }
+            element.style.display = "block";
+
+        }
+    </script>

doc/api/plotting_api.rst

@@ -12,14 +12,14 @@ prospect.plotting.utils
    :members: sample_prior, sample_posterior
 
 prospect.plotting.sfh
------------------------
+---------------------
 
 .. automodule:: prospect.plotting.sfh
    :members: sfh_quantiles, parametric_sfr, nonpar_recent_sfr, parametric_mwa, nonpar_mwa
 
 prospect.plotting.corner
------------------------
+------------------------
 
-.. automodule:: prospect.plotting.utils
+.. automodule:: prospect.plotting.corner
    :members: quantile, marginal, corner
 

doc/conf.py

@@ -100,6 +100,7 @@
 # html_short_title = None
 
 html_static_path = ["_static"]
+html_css_files = ['css/custom.css']
 
 # The name of an image file (relative to this directory) to place at the top
 # of the sidebar.

doc/demo.rst

@@ -4,12 +4,18 @@ You can check out the Jupyter notebook demo at
 
   * `InteractiveDemo <https://github.com/bd-j/prospector/blob/main/demo/InteractiveDemo.ipynb>`_
 
-Also, below is an example of inference from an increasing number of photometric bands.
-Model parameters and SEDs are inferred (in grey) from a changing number of mock
-photometric bands. The mock is generated at the parameters marked in blue.  This
-shows how with a small amount of data most posteriors are determined by the
-prior (dashed red) but that as the number of bands increases, the data are more
-infomative and the posterior distributions are narrower than the prior.
-
-.. image:: images/animation.gif
-   :align: center
+Interactive Figure
+------------------
+
+Also, below is an example of inference from an increasing number of photometric
+bands. Model parameters and SEDs are inferred (in blue) from a changing number
+of mock photometric bands (grey points). The mock is generated at the parameters
+and with the SED marked in black.  This shows how with a small amount of data
+most posteriors are determined by the prior (dotted green) but that as the
+number of bands increases, the data are more infomative and the posterior
+distributions are narrower than the prior.
+
+Click the buttons show the inference for different filter sets:
+
+.. raw:: html
+    :file: animate_nbands.html

doc/faq.rst

@@ -145,7 +145,7 @@ simultaneously.  See
 
 
 What bins should I use for the non-parametric SFH?
--------------------------------------------------
+--------------------------------------------------
 Deciding on the "optimal" number of bins to use in such non-parametric SFHs is a
 difficult question.  The pioneering work of
 `ocvirk06 <https://ui.adsabs.harvard.edu/abs/2006MNRAS.365...46O/abstract>`_
@@ -186,7 +186,7 @@ large samples of objects.
 
 
 What settings should I use for `dynesty`?
---------------------------------------
+-----------------------------------------
 The default `dynesty` settings in |Codename| are optimized for a
 low-dimensional (N=4-7) model. Higher-dimensional models with more complex
 likelihood spaces will likely require more advanced `dynesty` settings to
@@ -214,7 +214,7 @@ sampling has converged to the correct *distribution*
 
 
 How do I use `emcee` in |Codename|?
--------------------------------------
+-----------------------------------
 For each parameter, an initial value (``"init"`` in the parameter specification)
 must be given.  The ensemble of walkers is initialized around this value, with a
 Gaussian spread that can be specified separately for each parameter.  Each
@@ -315,13 +315,13 @@ This is a general question for MC sampling techniques.
 
 
 Why isn't the posterior PDF centered on the highest posterior probability sample?
----------------------------------------------------------------------
+---------------------------------------------------------------------------------
 
 How do I interpret the `lnprobability` or `lnp` values? Why do I get `lnp > 0`?
 -------------------------------------------------------------------------------
 
 How do I know if Prospector is "working"?
----------------------------------------
+-----------------------------------------
 
 
 

doc/requirements.txt

@@ -1,3 +1,4 @@
 numpy >= 1.16
 scipy >= 1.1.0
+matplotlib >= 3.0
 sphinx>=1.7.5

prospect/plotting/corner.py

@@ -6,10 +6,13 @@
 import numpy as np
 from scipy.ndimage import gaussian_filter as norm_kde
 
-import matplotlib.pyplot as pl
-from matplotlib.ticker import MaxNLocator, NullLocator
-from matplotlib.ticker import ScalarFormatter
-from matplotlib.colors import LinearSegmentedColormap, colorConverter
+try:
+    import matplotlib.pyplot as pl
+    from matplotlib.ticker import MaxNLocator, NullLocator
+    from matplotlib.ticker import ScalarFormatter
+    from matplotlib.colors import LinearSegmentedColormap, colorConverter
+except(ImportError):
+    pass
 
 
 __all__ = ["allcorner", "show_extras", "prettify_axes", "corner",

prospect/plotting/figuremaker.py

@@ -5,7 +5,10 @@
 """
 
 import numpy as np
-import matplotlib.pyplot as pl
+try:
+    import matplotlib.pyplot as pl
+except(ImportError):
+    pass
 
 from ..io import read_results as reader
 from ..io.write_results import chain_to_struct, dict_to_struct