Since numpy 1.20, using np.float is deprecated. With newer versions (tested on Python 3.8.10, numpy 1.24) this lead to the following error message:
Traceback (most recent call last):
File "", line 1, in
File "/home/luca/tiago_public_ws/devel/lib/python3/dist-packages/ros_numpy/init.py", line 34, in
exec(fh.read())
File "", line 7, in
File "/home/luca/tiago_public_ws/src/ros_numpy/src/ros_numpy/point_cloud2.py", line 224, in
def get_xyz_points(cloud_array, remove_nans=True, dtype=np.float):
File "/home/luca/.local/lib/python3.8/site-packages/numpy/init.py", line 305, in getattr
raise AttributeError(__former_attrs[attr])
AttributeError: module 'numpy' has no attribute 'float'.
np.float was a deprecated alias for the builtin float. To avoid this error in existing code, use float by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64 here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Replacing the np.float alias with float makes the package compatible also with newer numpy versions.
Since numpy 1.20, using
np.float
is deprecated. With newer versions (tested on Python 3.8.10, numpy 1.24) this lead to the following error message:Replacing the
np.float
alias withfloat
makes the package compatible also with newer numpy versions.