使用 pandas groupby 查找每个组内文本的平均长度

Using pandas groupby to find the average length of the text within each group

我正在使用莎士比亚语料库。

    act literature_type scene   scene_text  scene_title speaker title
0   1   Comedy  1   In delivering my son from me, I bury a second ...   Rousillon. The COUNT's palace.  COUNTESS    All's Well That Ends Well
1   1   Comedy  1   And I in going, madam, weep o'er my father's d...   Rousillon. The COUNT's palace.  BERTRAM All's Well That Ends Well
2   1   Comedy  1   You shall find of the king a husband, madam; y...   Rousillon. The COUNT's palace.  LAFEU   All's Well That Ends Well
3   1   Comedy  1   What hope is there of his majesty's amendment?  Rousillon. The COUNT's palace.  COUNTESS    All's Well That Ends Well
4   1   Comedy  1   He hath abandoned his physicians, madam; under...   Rousillon. The COUNT's palace.  LAFEU   All's Well That Ends Well

我想找出每个标题的平均 scene_text 长度。

我想按照以下方式使用:

all_works_by_speaker_df.groupby('title').apply(lambda x: np.mean(len(x)))

这只是 returns 每个标题中的场景数。

如果需要len个字符:

df = (all_works_by_speaker_df.groupby('title')['scene_text']
                            .apply(lambda x: np.mean(x.str.len()))
                            .reset_index(name='mean_len_text'))
print (df)

                       title  mean_len_text
0  All's Well That Ends Well           48.4

如果需要lens的话使用.

拆分、长度和平均值

df.groupby('title').scene_text.apply(lambda x: x.str.split().str.len().mean())


title
All's Well That Ends Well    9.2

从列中获取字符串的长度,然后将数组分组为您的播放标题,然后应用平均值。

mean_len = df.scene_text.str.len().groupby(df.title).mean()