我有这种格式的数据框。数据帧共有 907 行和 2 列，分别命名为音频和句子。如您所见，音频列包含一系列列表。该列表的总长度为 10000。
Audio sentence
[[-0.32357552647590637], [-0.4721883237361908],.....],the kind of them is a relative all the little old lady is it to confide in them and head for buying them hate it consists of a vertical schrock
[[-0.32357552647590637],[-0.4721883237361908],.....]]the kind of them is a relative all the little old lady is it to confide in them and head for buying them hate it consists of a vertical schrock
我尝试将列表转换为数据帧，但它分隔了每个字符，这不是我的目标。
aa= pd.DataFrame.from_records(X_tra)
它做了类似的事情。
0 1 2 3 4 5 6 7 8 9 ... 269990 269991 269992 269993 269994 269995 269996 269997 269998 269999
0 [ [ 0 . 0 0 3 9 1 1 ... None None None None None None None None None None
Audio sentence
[[-0.32357552647590637], [-0.4721883237361908],.....],the kind of them is a relative all the little old lady is it to confide in them and head for buying them hate it consists of a vertical schrock
[[-0.32357552647590637],[-0.4721883237361908],.....]]the kind of them is a relative all the little old lady is it to confide in them and head for buying them hate it consists of a vertical schrock
以上给出的输出是实际输出。 预期输出如下。
Audio Audio1 sentence
-0.32357552647590637 -0.4721883237361908 ..... the kind of them is a relative all the little old lady is it to confide in them and head for buying them hate it consists of a vertical schrock
-0.32357552647590637 -0.4721883237361908 ......the kind of them is a relative all the little old lady is it to confide in them and head for buying them hate it consists of a vertical schrock
我想使用此输出来训练神经网络，因此我的句子列将为 Y，其余数据帧将为 X。
最佳答案
这个解决方案怎么样？
import pandas as pd
import numpy as np
data = pd.DataFrame({'Audio':[[[-0.32357552647590637],[-0.4721883237361908]], [[-0.32357552647590637], [-0.4721883237361908]]],
'sentence':['the kind of them is a relative all the little old', 'More text']})
audios = data.Audio.apply(lambda x: np.ravel(np.array(x))).apply(pd.Series)
audios.columns = ['Audio'+ str(i) for i in range(len(audios.columns))]
audios['sentence'] = data['sentence']
示例数据是:
Audio sentence
0 [[-0.32357552647590637], [-0.4721883237361908]] the kind of them is a relative all the little old
1 [[-0.32357552647590637], [-0.4721883237361908]] More text
(在 DF 音频中)结果是:
Audio0 Audio1 sentence
0 -0.323576 -0.472188 the kind of them is a relative all the little old
1 -0.323576 -0.472188 More text
关于python - 将列表列表转换为数据框，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/57906825/