eric-wieser/ros_numpy

AttributeError: module 'numpy' has no attribute 'float'

zkytony opened this issue · 3 comments

zkytony commented

I encounter the following Trackback when using ros_numpy:

Traceback (most recent call last):
  ...
  File "/home/kzheng/repo/robotdev/spot/ros_ws/src/genmos_object_search_ros/src/genmos_ros/ros_utils.py", line 13, in <module>   
    import ros_numpy
  File "/opt/ros/noetic/lib/python3/dist-packages/ros_numpy/__init__.py", line 7, in <module>
    import ros_numpy
  File "/opt/ros/noetic/lib/python3/dist-packages/ros_numpy/__init__.py", line 7, in <module>
    from . import point_cloud2
  File "/opt/ros/noetic/lib/python3/dist-packages/ros_numpy/point_cloud2.py", line 224, in <module>
    from . import point_cloud2
  File "/opt/ros/noetic/lib/python3/dist-packages/ros_numpy/point_cloud2.py", line 224, in <module>
    def get_xyz_points(cloud_array, remove_nans=True, dtype=np.float):
  File "/home/kzheng/repo/robotdev/spot/venv/spot/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    def get_xyz_points(cloud_array, remove_nans=True, dtype=np.float):
  File "/home/kzheng/repo/robotdev/spot/venv/spot/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
    raise AttributeError(__former_attrs__[attr])

According to this Stackoverflow, np.float causes an error with Numpy 1.24+. (I have 1.24.2 installed).

Is this package still being maintained to address this issue?

pabsan-0 commented

Hello! At your own risk, you can get around this by overwriting the np.float reference.

import numpy as np
np.float = np.float64  # temp fix for following import
import ros_numpy
  • 👍11
  • 😄2
denseishin commented

I have the same problem, both packages were installed through the ubuntu repositories

sangshuduo commented

I see this issue is fixed with #39. I wonder when it will be published to the pypi?

  • 👍1