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Diffstat (limited to '3rdparty/pybind11/docs/advanced/cast/eigen.rst')
| -rw-r--r-- | 3rdparty/pybind11/docs/advanced/cast/eigen.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/3rdparty/pybind11/docs/advanced/cast/eigen.rst b/3rdparty/pybind11/docs/advanced/cast/eigen.rst index 59ba08c3..e01472d5 100644 --- a/3rdparty/pybind11/docs/advanced/cast/eigen.rst +++ b/3rdparty/pybind11/docs/advanced/cast/eigen.rst @@ -274,7 +274,7 @@ Vectors versus column/row matrices Eigen and numpy have fundamentally different notions of a vector. In Eigen, a vector is simply a matrix with the number of columns or rows set to 1 at -compile time (for a column vector or row vector, respectively). Numpy, in +compile time (for a column vector or row vector, respectively). NumPy, in contrast, has comparable 2-dimensional 1xN and Nx1 arrays, but *also* has 1-dimensional arrays of size N. |