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类型错误:'数字32'对象不可iterable,尽管正确生成了输出

typeerror scipy matrix numpy python-3.x

-1

Rebel · 技术社区 · 6 年前

在大型python脚本的某些行中,有一个74537000个元素的3d数组,这些元素都是浮点数:

import numpy as np
prop_shape = [74537000, 3]  # to produce this however a long script is written and this will be printed (just before the controversial line below) in the first run of the code assuming it's a vector quantity like position.
prop_in_dtype = np.float32  # position array with the shape (74537000, 3) is made up of float32 values. In general, however, prop_in_dtype is changing across the script due to the nature of the array

当我们试图创建一个元素都为-1的相同数组时,我们可以使用numpy,如下所示:

.
.
.
my_array = np.full(tuple(prop_shape), -1, prop_in_dtype)
.
.
.

运行此操作时,出现以下错误消息:

Traceback (most recent call last):
  File "DLA_DM.py", line 19, in <module>
    settings_centroid.init()
  File "/usr5/username/settings_centroid.py", line 43, in init
    part=gizmo.io.Read.read_snapshots(species, snapshot_value_kind, snapshot_number, simulation_directory='.', snapshot_directory='output/', simulation_name='', properties=properties, element_indices=None, particle_subsample_factor=0, separate_dark_lowres=True, sort_dark_by_id=False, convert_float32=True, host_number=1, assign_host_coordinates=True, assign_host_principal_axes=False, assign_host_orbits=False, assign_formation_coordinates=False, assign_pointers=False, check_properties=True)
  File "/usr5/username/simulation/gizmo/gizmo_io.py", line 649, in read_snapshots
    element_indices, convert_float32, header)
  File "/usr5/username/simulation/gizmo/gizmo_io.py", line 1164, in read_particles
    part[spec_name][prop] = np.full(tuple(prop_shape), - 1, prop_in_dtype) 
TypeError: 'numpy.uint32' object is not iterable

1 回复 | 直到 6 年前

hpaulj 6 年前

我可以用以下方法再现错误消息:

In [174]: tuple(np.uint32(1))                                                        
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-174-3420675a1788> in <module>
----> 1 tuple(np.uint32(1))

TypeError: 'numpy.uint32' object is not iterable

所以我猜这辆车有问题 prop_shape

Rebel 6 年前

prop_shape 在原始代码中迭代。有时是单个整数(对于标量量,例如74537000),有时是两个元素的列表(对于向量量,例如[74537000,3])。我假设它是固定的两元素列表(因此是一个向量)。这就是为什么单个标量的元组如果标量不是 float32 if statement 每次在生成数组之前检查变量的数据类型时:

if isinstance(prop_shape, list):
    my_array = np.full(tuple(prop_shape), -1, prop_in_dtype)
else:
    my_array = np.full(prop_shape, -1, prop_in_dtype)

Traceback (most recent call last):
  File "DLA_DM.py", line 96, in <module>
    gizmo.plot.Image.plot_image(settings_centroid.part, 'dark', 'mass', settings_centroid.image_kind, [0,1], settings_centroid.dimensions_select, settings_centroid.distance_max, settings_centroid.distance_bin_width_generic, distance_bin_number=settings_centroid.distance_bin_number, part_indices=part_indices, write_plot=write_plot, plot_directory=plot_directory, background_color=background_color, use_column_units=False, center_position=settings_centroid.center_position, rotation=settings_centroid.rotation, property_select={'mass.bound':[1e9,1e13]}, subsample_factor=subsample_factor, image_limits=settings_centroid.image_limits_xy, hal=settings_centroid.hal, hal_indices=settings_centroid.hal_indices, hal_position_kind=hal_position_kind, hal_radius_kind=hal_radius_kind, return_halo_info=settings_centroid.return_halo_info_value_dark)
  File "/usr5/username/simulation/gizmo/gizmo_plot.py", line 825, in plot_image
    settings_centroid.init()
  File "/usr5/username/settings_centroid.py", line 43, in init
    part=gizmo.io.Read.read_snapshots(species, snapshot_value_kind, snapshot_number, simulation_directory='.', snapshot_directory='output/', simulation_name='', properties=properties, element_indices=None, particle_subsample_factor=0, separate_dark_lowres=True, sort_dark_by_id=False, convert_float32=True, host_number=1, assign_host_coordinates=True, assign_host_principal_axes=False, assign_host_orbits=False, assign_formation_coordinates=False, assign_pointers=False, check_properties=True)
  File "/usr5/username/simulation/gizmo/gizmo_io.py", line 649, in read_snapshots
    element_indices, convert_float32, header)
  File "/usr5/username/simulation/gizmo/gizmo_io.py", line 1171, in read_particles
    part[spec_name][prop] = np.full(prop_shape, -1, prop_in_dtype)
  File "/usr/local/anaconda3/lib/python3.5/site-packages/numpy/core/numeric.py", line 309, in full
    a = empty(shape, dtype, order)
MemoryError