fix failing test because doctext expects nothing but mpl returns some…

…thing

docs/source/basics.rst

@@ -16,9 +16,13 @@ Useful constants
     >>> from mw_plot import mw_radec # milkyway plane in RA/DEC
 
     >>> center_radec  # refers to the [RA, DEC] of galactic center in deg
+    [266.4167, -29.0078]
     >>> anti_center_radec  # refers to the [RA, DEC] of galactic anti-center in deg
+    [86.4167, 28.0078]
     >>> northpole_radec  # refers to the [RA, DEC] of galactic north pole in deg
+    [192.7667, 27.1167]
     >>> southpole_radec  # refers to the [RA, DEC] of galactic south pole in deg
+    [12.7667, -27.1167]
 
     >>> mw_plane_ra, mw_plane_dec = mw_radec(deg=True)  # RA/DEC arrays of milkyway plane
 

docs/source/bokeh_single.rst

@@ -1,4 +1,4 @@
-.. automodule:: mw_plot.mw_plot_bokeh
+.. automodule:: mw_plot.bokeh_backend
 
 Interactive Single Plot
 ==========================

docs/source/index.rst

@@ -23,6 +23,7 @@ For example, to get the citation text for the background image of a face-on Milk
     >>> from mw_plot import MWFaceOn
     >>> mw = MWFaceOn()
     >>> mw.citation
+    'NASA/JPL-Caltech/R. Hurt (SSC/Caltech)'
 
 or for the background infrared image of an all-sky Milky Way plot:
 
@@ -31,6 +32,7 @@ or for the background infrared image of an all-sky Milky Way plot:
     >>> from mw_plot import MWSkyMap
     >>> mw = MWSkyMap()
     >>> mw.citation
+    'ESA/Gaia/DPAC'
 
 Install
 ---------------------

docs/source/matplotlib_faceon.rst

@@ -1,4 +1,4 @@
-.. automodule:: mw_plot.mw_plot_matplotlib
+.. automodule:: mw_plot.matplotlib_backend
 
 Face-On View of Milky Way
 ==============================
@@ -28,6 +28,10 @@ MilkyWay Bird's Eye
     >>> mw1.title = "Bird's Eyes View"
     >>> mw1.scatter(8 * u.kpc, 0 * u.kpc, c="r", s=2)
 
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
+
 .. image:: mpl_imgs/mw_faceon.jpg
     :width: 500
     :align: center

docs/source/matplotlib_multi.rst

@@ -20,12 +20,19 @@ In a multiple subplot scenario, you can transform a single subplot with ``mw-plo
     >>> mw1.transform(ax2)
 
     >>> # plot something in the first subplot
-    >>> ax1.plot([0, 1], [0, 1])
-    >>> ax1.plot([0, 1], [1, 0])
+    >>> ax1.plot([0, 1], [0, 1])  # doctest:+ELLIPSIS
+    [<matplotlib.lines.Line2D object at ...>]
+    >>> ax1.plot([0, 1], [1, 0])  # doctest:+ELLIPSIS
+    [<matplotlib.lines.Line2D object at ...>]
     >>> ax1.set_aspect("equal")
 
     >>> # you can plot something on top of the transformed subplot
-    >>> ax2.plot([-10, 10], [10, -10], c="r", ls="--")
+    >>> ax2.plot([-10, 10], [10, -10], c="r", ls="--")  # doctest:+ELLIPSIS
+    [<matplotlib.lines.Line2D object at ...>]
+
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
 
 .. image:: mpl_imgs/mw_faceon_single_transform.jpg
     :width: 500
@@ -43,13 +50,17 @@ To transform multiple subplots at once, you can pass a list of axes to the ``tra
 
     >>> mw1 = MWFaceOn()
     >>> fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))
-
     >>> # transform multiple axes with mw-plot at once
     >>> mw1.transform([ax1, ax2])
-
     >>> # plot something in both plots
-    >>> ax1.plot([10, -10], [10, -10], c="r", ls="--")
-    >>> ax2.plot([10, -10], [-10, 10], c="r", ls="--")
+    >>> ax1.plot([10, -10], [10, -10], c="r", ls="--")  # doctest:+ELLIPSIS
+    [<matplotlib.lines.Line2D object at ...>]
+    >>> ax2.plot([10, -10], [-10, 10], c="r", ls="--")  # doctest:+ELLIPSIS
+    [<matplotlib.lines.Line2D object at ...>]
+
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
 
 .. image:: mpl_imgs/mw_faceon_multiple_transform.jpg
     :width: 500
@@ -80,10 +91,18 @@ If you are plotting sky maps with projection, your subplot should be in that par
     >>> mw4 = MWSkyMap(projection="mollweide", background="gamma")
     >>> mw4.transform(ax4)
 
-    >>> ax1.set_title("Far-Infrared")
-    >>> ax2.set_title("Infrared")
-    >>> ax3.set_title("Optical")
-    >>> ax4.set_title("Gamma-Ray")
+    >>> ax1.set_title("Far-Infrared")  # doctest:+ELLIPSIS
+    Text(...)
+    >>> ax2.set_title("Infrared")  # doctest:+ELLIPSIS
+    Text(...)
+    >>> ax3.set_title("Optical")  # doctest:+ELLIPSIS
+    Text(...)
+    >>> ax4.set_title("Gamma-Ray")  # doctest:+ELLIPSIS
+    Text(...)
+
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
 
 .. image:: mpl_imgs/mollweide_4_backgrounds.jpg
     :width: 500

docs/source/matplotlib_skymap.rst

@@ -1,4 +1,4 @@
-.. automodule:: mw_plot.mw_plot_matplotlib
+.. automodule:: mw_plot.matplotlib_backend
 
 Sky Map of Milky Way
 ==============================
@@ -19,6 +19,10 @@ The class is designed to be simple and easy to use.
     >>> mw1.title = "LMC and SMC in red dots"
     >>> mw1.scatter([78.77, 16.26] * u.degree, [-69.01, -72.42] * u.degree, c="r", s=3)
 
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
+
 .. image:: mpl_imgs/mollweide_LMC_SMC.jpg
     :width: 500
     :align: center
@@ -58,6 +62,10 @@ You then can use the ``background`` parameter to set the background image from t
     >>> mw1.title = "LMC and SMC in red dots"
     >>> mw1.scatter([78.77, 16.26] * u.degree, [-69.01, -72.42] * u.degree, c="r", s=3)
 
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
+
 .. image:: mpl_imgs/mellinger_allsky.jpg
     :width: 500
     :align: center
@@ -78,6 +86,10 @@ parameters. For example to zoom in to the M31 galaxy, you can use the following
     >>> fig, ax = plt.subplots(figsize=(5, 5))
     >>> mw1.transform(ax)
 
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
+
 .. image:: mpl_imgs/mellinger_M31.jpg
     :width: 500
     :align: center
@@ -99,6 +111,10 @@ You can plot the sky map with grid lines. The grid lines can be in Galactic, Equ
     >>> mw1.title = "LMC and SMC (red) with Ecliptic grid"
     >>> mw1.scatter([78.77, 16.26] * u.degree, [-69.01, -72.42] * u.degree, c="r", s=3)
 
+..
+    >>> import matplotlib.pyplot as plt
+    >>> plt.close("all")
+
 .. image:: mpl_imgs/mellinger_allsky_grid.jpg
     :width: 500
     :align: center

src/mw_plot/base.py

@@ -384,6 +384,7 @@ def read_bg_img(self):
             self.img_obj = self._MW_IMAGES["MW_bg_annotate"]
         else:
             self.img_obj = self._MW_IMAGES["MW_bg_unannotate"]
+        self.reference_str = self.img_obj.citation
         self._gh_img_url = self._gh_imgbase_url + self.img_obj.filename
 
         if self.coord.lower() == "galactic":

tests/test_bokeh.py

@@ -27,7 +27,7 @@ def test_mw_skymap_bokeh(simbad):
 
 def test_mw_plot_bokeh():
     # setup a MWPlotBokeh instance
-    plot_instance = MWPlotBokeh(
+    plot_instance = MWFaceOnBokeh(
         radius=20 * u.kpc, unit=u.kpc, coord="galactocentric", annotation=True
     )
     plot_instance.imalpha = 1.0