doc fixes

Author: wolfv

README.md

@@ -45,6 +45,7 @@ Both containers enable the numpy-style APIs of xtensor (see [the numpy to xtenso
 #include <numeric>                        // Standard library import for std::accumulate
 #include "pybind11/pybind11.h"            // Pybind11 import to define Python bindings
 #include "xtensor/xmath.hpp"              // xtensor import for the C++ universal functions
+#define FORCE_IMPORT_ARRAY
 #include "xtensor-python/pyarray.hpp"     // Numpy bindings
 
 double sum_of_sines(xt::pyarray<double>& m)
@@ -55,6 +56,7 @@ double sum_of_sines(xt::pyarray<double>& m)
 
 PYBIND11_PLUGIN(xtensor_python_test)
 {
+    xt::import_numpy();
     pybind11::module m("xtensor_python_test", "Test module for xtensor python bindings");
 
     m.def("sum_of_sines", sum_of_sines, "Sum the sines of the input values");

docs/source/numpy_capi.rst

@@ -25,7 +25,7 @@ Thus the basic skeleton of the module looks like:
 
     #include "pybind11/pybind11.h"
     #define FORCE_IMPORT_ARRAY
-    #include "xgtensor-python/pyarray.hpp"
+    #include "xtensor-python/pyarray.hpp"
 
     PYBIND11_PLUGIN(plugin_name)
     {

include/xtensor-python/pyarray.hpp

@@ -21,8 +21,6 @@
 #include "pystrides_adaptor.hpp"
 #include "xtensor_type_caster_base.hpp"
 
-#include <iostream>
-
 namespace xt
 {
     template <class T>

include/xtensor-python/xtensor_type_caster_base.hpp

@@ -1,7 +1,7 @@
-/*  
+/*
     xtensor-python/xtensor_type_caster.hpp: Transparent conversion for xtensor and xarray
 
-    This code is based on the following code written by Wenzei Jakob
+    This code is based on the following code written by Wenzel Jakob
 
     pybind11/eigen.h: Transparent conversion for dense and sparse Eigen matrices
 
@@ -78,7 +78,7 @@ namespace pybind11
             }
 
         private:
-    
+
             // Cast implementation
             template <typename CType>
             static handle cast_impl(CType* src, return_value_policy policy, handle parent)