Merge pull request #6 from bmorris3/docs

Doc example fix

aesop/tests/test_spectrum1d.py

@@ -77,7 +77,8 @@ def test_continuum_norm():
 
     # Make sure that the continuum normalization is always good to 2%
     polynomial_order = 8
-    target_spectrum.continuum_normalize(standard_spectrum, polynomial_order)
+    target_spectrum.continuum_normalize_from_standard(standard_spectrum,
+                                                      polynomial_order)
 
     for order in target_spectrum.spectrum_list:
         assert abs(np.median(order.flux) - 1) < 0.02

docs/getting_started.rst

@@ -53,12 +53,12 @@ The `~aesop.EchelleSpectrum` object behaves a bit like a Python list -- it
 supports indexing, where the index counts the order number, starting with index
 zero for the order with the shortest wavelengths. Elements of the
 `~aesop.EchelleSpectrum` are `~aesop.Spectrum1D` objects. Suppose you want to
-make a quick plot of the 32nd order of the target's echelle spectrum:
+make a quick plot of the 73rd order of the target's echelle spectrum:
 
 .. code-block:: python
 
-    order32 = target_spectrum[32]
-    order32.plot()
+    order73 = target_spectrum[73]
+    order73.plot()
 
 .. plot::
 
@@ -75,8 +75,8 @@ make a quick plot of the 32nd order of the target's echelle spectrum:
     target_spectrum = EchelleSpectrum.from_fits(target_path)
     standard_spectrum = EchelleSpectrum.from_fits(standard_path)
 
-    order32 = target_spectrum[32]
-    order32.plot()
+    order73 = target_spectrum[73]
+    order73.plot()
 
     import matplotlib.pyplot as plt
     plt.show()

docs/index.rst

@@ -13,7 +13,7 @@ You can view the
 `source code and submit issues via GitHub <https://github.com/bmorris3/aesop>`_.
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 1 
    :caption: Contents:
 
    install
@@ -26,4 +26,4 @@ Indices and tables
 
 * :ref:`genindex`
 * :ref:`modindex`
-* :ref:`search`
+* :ref:`search`