Update name of np.sctypeDict (#181)

Closes #180

README.md

@@ -85,8 +85,7 @@ python), you can install this package simply as
 conda install -c conda-forge quaternion
 ```
 
-If you prefer to use `pip` (which can be run from within a `conda`
-environment), you can instead do
+If you prefer to use `pip`, you can instead do
 
 ```sh
 python -m pip install --upgrade --force-reinstall numpy-quaternion
@@ -113,7 +112,7 @@ Finally, there's also the fully manual option of just downloading the
 code, changing to the code directory, and running
 
 ```sh
-python -m pip install .
+python -m pip install --upgrade --force-reinstall .
 ```
 
 This should work regardless of the installation method, as long as you

setup.py

@@ -17,7 +17,7 @@
 
 
 # Set this first for easier replacement
-version = "2021.8.30.10.8.27"
+version = "2021.8.30.10.33.11"
 
 if "win" in platform.lower() and not "darwin" in platform.lower():
     extra_compile_args = ["/O2"]

src/quaternion/__init__.py

@@ -3,7 +3,7 @@
 # Copyright (c) 2021, Michael Boyle
 # See LICENSE file for details: <https://github.com/moble/quaternion/blob/main/LICENSE>
 
-__version__ = "2021.8.30.10.8.27"
+__version__ = "2021.8.30.10.33.11"
 __doc_title__ = "Quaternion dtype for NumPy"
 __doc__ = "Adds a quaternion dtype to NumPy."
 __all__ = ['quaternion',
@@ -43,7 +43,7 @@
 from .means import mean_rotor_in_chordal_metric, optimal_alignment_in_chordal_metric
 
 np.quaternion = quaternion
-np.typeDict['quaternion'] = np.dtype(quaternion)
+np.sctypeDict['quaternion'] = np.dtype(quaternion)
 
 zero = np.quaternion(0, 0, 0, 0)
 one = np.quaternion(1, 0, 0, 0)