Fixes #78

README.md

@@ -78,7 +78,7 @@ the distance measure computation:
 - `max_step`: Do not allow steps larger than this value.
 - `max_length_diff`: Return infinity if difference in length of two series is larger.
 - `penalty`: Penalty to add if compression or expansion is applied (on top of the distance).
-- `psi`: Psi relaxation to ignore begin and/or end of sequences (for cylical sequencies) [2].
+- `psi`: Psi relaxation to ignore begin and/or end of sequences (for cylical sequences) [2].
 
 
 #### DTW Distance Measure all warping paths
@@ -92,7 +92,7 @@ If, next to the distance, you also want the full matrix to see all possible warp
     print(distance)
     print(paths)
 
-The matrix with all warping paths can be visualised as follows:
+The matrix with all warping paths can be visualized as follows:
 
     from dtaidistance import dtw
     from dtaidistance import dtw_visualisation as dtwvis
@@ -184,7 +184,7 @@ wrapper for the SciPy linkage method).
 
 
 For models that keep track of the full clustering tree (`HierarchicalTree` or `LinkageTree`), the
-tree can be visualised:
+tree can be visualized:
 
     model.plot("myplot.png")
 

docs/usage/dtw.rst

@@ -105,7 +105,7 @@ possible warping paths:
     print(distance)
     print(paths)
 
-The matrix with all warping paths can be visualised as follows:
+The matrix with all warping paths can be visualized as follows:
 
 ::
 

dtaidistance/clustering.py

@@ -54,7 +54,7 @@ def fit(self, series):
         """Merge sequences.
 
         :param series: Iterator over series.
-        :return: Dictionary with as keys the prototype indicices and as values all the indicides of the series in
+        :return: Dictionary with as keys the prototype indices and as values all the indices of the series in
             that cluster.
         """
         nb_series = len(series)

dtaidistance/dtw.py

@@ -233,7 +233,7 @@ def warping_paths(s1, s2, window=None, max_dist=None,
     """
     Dynamic Time Warping.
 
-    The full matrix of all warping paths is build.
+    The full matrix of all warping paths is built.
 
     :param s1: First sequence
     :param s2: Second sequence

dtaidistance/dtw_ndim_visualisation.py

@@ -3,7 +3,7 @@
 dtaidistance.dtw_visualisation
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-Dynamic Time Warping (DTW) visualisations.
+Dynamic Time Warping (DTW) visualizations.
 
 :author: Wannes Meert
 :copyright: Copyright 2017 KU Leuven, DTAI Research Group.
@@ -130,4 +130,4 @@ def plot_warpingpaths(s1, s2, paths, path=None, filename=None, shownumbers=False
         plt.savefig(filename)
         plt.close()
         fig, ax = None, None
-    return fig, ax
+    return fig, ax

dtaidistance/dtw_visualisation.py

@@ -3,7 +3,7 @@
 dtaidistance.dtw_visualisation
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-Dynamic Time Warping (DTW) visualisations.
+Dynamic Time Warping (DTW) visualizations.
 
 :author: Wannes Meert
 :copyright: Copyright 2017 KU Leuven, DTAI Research Group.

tests/test_bugs.py

@@ -10,7 +10,7 @@
 
 
 if dtw_c is None:
-    print('ERROR: dtw_c is not build')
+    print('ERROR: dtw_c is not built')
     sys.exit(1)
 
 def test_distance1_a():