英文:
the question of 'list' object has no attribute 'shape'
问题
我尝试使用这个代码（https://github.com/phillipiv/rssi-filtering-kalman）来测试卡尔曼滤波，但遇到了一些问题。
运行后，显示了这个错误。
如何修复它？
请给我一些建议。
（我尝试将 lenght = np.shape(signals)[1] 更改为 lenght = np.shape(np.array(signals))[1]，AttributeError 消失了，但 ValueError 仍然存在。）
英文:
I tried to use this code (https://github.com/phillipiv/rssi-filtering-kalman) to test Kalman filtering, but encountered some issues.
After I ran it, it displayed this error.
How can I fix it?
Give me some advice please.
(I tried to change lenght = np.shape(signals)[1] to lenght = np.shape(np.array(signals))[1], and the AttributeError disappeared, but ValueError still exists.)
File "C:\Users\fan\rssi-filtering-kalman\venv\Lib\site-packages\numpy\core\fromnumeric.py", line 2033, in shape
result = a.shape
^^^^^^^
AttributeError: 'list' object has no attribute 'shape'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\fan\rssi-filtering-kalman\scripts\main.py", line 32, in <module>
plot_signals([signal, signal_gray_filter, signal_fft_filter, signal_kalman_filter, signal_particle_filter],
File "C:\Users\fan\rssi-filtering-kalman\scripts\util.py", line 22, in plot_signals
lenght = np.shape(signals)[1] # time lenght of original and filtered signals
^^^^^^^^^^^^^^^^^
File "<__array_function__ internals>", line 200, in shape
File "C:\Users\fan\rssi-filtering-kalman\venv\Lib\site-packages\numpy\core\fromnumeric.py", line 2035, in shape
result = asarray(a).shape
^^^^^^^^^^
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (5, 199) + inhomogeneous part.
答案1
得分: 1
你需要将你的 a 转换为一个 numpy 数组。
a 是一个列表。
import numpy as np
a = [1, 2, 3]
try:
a.shape # 不起作用
except AttributeError:
print("没有 .shape 属性")
a = np.array(a)
# 尝试
a.shape # 起作用
英文:
You need to cast your a to a numpy array.
a is a list.
import numpy as np
a = [1,2,3]
try:
a.shape # doesn't work
except AttributeError:
print("No .shape attribute")
a = np.array(a)
# try
a.shape # works
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