update changelog, fix doc strings

CHANGELOG

@@ -1,26 +1,27 @@
 0.2.0
  - Updated docs and examples (#1)
-0.1.9
  - Moved docs to readthedocs.io
+0.1.9
+ - No code changes
 0.1.8
- - Added support for NumPy 1.10.
+ - Added support for NumPy 1.10
 0.1.7
- - Improved padding for backprojection.
+ - Improved padding for backprojection
 0.1.6
- - Removed a memory leak.
- - Increase compatibility to jobmanager.
- - Improved documentation.
+ - Removed a memory leak
+ - Increase compatibility to jobmanager
+ - Improved documentation
 0.1.5
- - Fixed an example.
- - Fixed bug in 3D reconstruction.
+ - Fixed an example
+ - Fixed bug in 3D reconstruction
 0.1.4
- - Added 3D reconstruction methods.
+ - Added 3D reconstruction methods
 0.1.3
- - Switched to jobamanger package for tracking of progress.
- - Adde fan-beam helper methods.
+ - Switched to jobamanger package for tracking of progress
+ - Adde fan-beam helper methods
 0.1.2
- - Renamed callback functions.
+ - Renamed callback functions
 0.1.1
- - Mainly code cleanup.
+ - Mainly code cleanup
 0.1.0
- - Initial GitHub commit.
+ - Initial GitHub commit

radontea/_Back.py

@@ -40,16 +40,11 @@ def backproject(sinogram, angles, filtering="ramp",
                  'hann'}, optional
         Specifies the Fourier filter. Either of
 
-        ``ramp``
-          mathematically correct reconstruction
-
-        ``shepp-logan``
-
-        ``cosine``
-
-        ``hamming``
-
-        ``hann``
+          - "ramp" :mathematically correct reconstruction
+          - "shepp-logan"
+          - "cosine"
+          - "hamming"
+          - "hann"
 
     weight_angles : bool
         If ``True``, weights each backpropagated projection with a factor
@@ -241,15 +236,11 @@ def fourier_map(sinogram, angles, intp_method="cubic",
         Method of interpolation. For more information see
         `scipy.interpolate.griddata`. One of
 
-        ``nearest``
-          instead of interpolating, use the points closest to
-          the input data.
-
-        ``linear``
-          bilinear interpolation between data points.
-
-        ``cubic``
-          interpolate using a two-dimensional poolynimial surface.
+          - "nearest": instead of interpolating, use the points closest
+            to the input data
+          - "linear": bilinear interpolation between data points
+          - "cubic": interpolate using a two-dimensional poolynimial
+            surface
 
     jmc, jmm : instance of :func:`multiprocessing.Value` or `None`
         The progress of this function can be monitored with the 

radontea/_Back_meta.py

@@ -113,16 +113,11 @@ def backproject(sinogram, angles, filtering="ramp",
                  'hann'}, optional
         Specifies the Fourier filter. Either of
 
-        ``ramp``
-          mathematically correct reconstruction
-
-        ``shepp-logan``
-
-        ``cosine``
-
-        ``hamming``
-
-        ``hann``
+          - "ramp" :mathematically correct reconstruction
+          - "shepp-logan"
+          - "cosine"
+          - "hamming"
+          - "hann"
 
     padding : bool, optional
         Pad the input data to the second next power of 2 before
@@ -208,15 +203,11 @@ def fourier_map(sinogram, angles, intp_method="cubic",
         Method of interpolation. For more information see
         `scipy.interpolate.griddata`. One of
 
-        ``nearest``
-          instead of interpolating, use the points closest to
-          the input data.
-
-        ``linear``
-          bilinear interpolation between data points.
-
-        ``cubic``
-          interpolate using a two-dimensional poolynimial surface.
+          - "nearest": instead of interpolating, use the points closest
+            to the input data
+          - "linear": bilinear interpolation between data points
+          - "cubic": interpolate using a two-dimensional poolynimial
+            surface
 
     jmc, jmm : instance of :func:`multiprocessing.Value` or `None`
         The progress of this function can be monitored with the