[英]Python : conversion from numpy.ndarray to list : getting hung
I have a list named word_vector
whose every element is of type 'numpy.ndarray'.我有一个名为word_vector
的列表,其每个元素的类型都是“numpy.ndarray”。
print(word_vector)
output: output:
[array([0., 0., 0., ..., 0., 0., 0.]), array([0., 0., 0., ..., 0., 0., 0.]), array([0., 0., 0., ..., 0., 0., 0.]), array([0., 0., 0., ..., 0., 0., 0.])]
I want to convert the type of each element of the list to list.我想将列表中每个元素的类型转换为列表。 So I wrote this code:所以我写了这段代码:
word_vector_list = []
for arr in word_vector:
list_ = arr.tolist()
word_vector_list.append(list_)
print(word_vector_list)
The programming is getting hung repeatedly.程序反复挂起。 I'm getting this exception:我得到了这个例外:
IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.
Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)
length of each element(of type array) of the list is:列表中每个元素(数组类型)的长度为:
print(len(arr))
output: output:
4395
I'm not entirely sure why your program is hanging.我不完全确定您的程序为何挂起。 Try using list comprehension like so, it should be better:尝试像这样使用列表理解,它应该会更好:
word_vector_list = [list(x) for x in word_vector]
If it still didn't work, try increasing the iopub data rate.如果它仍然不起作用,请尝试增加 iopub 数据速率。 To increase the iopub data rate, run this in the terminal:要提高 iopub 数据速率,请在终端中运行:
jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10
Hope this helps:)希望这可以帮助:)
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