字符串在数字和空格上拆分

Question

除非第二个单词是小写，否则如何用第一个空格分割长字符串？

df                             col
0     Apple The fruit. 20 Banana tree A fruit. 30  Carrot A Vegetable. 40

预期输出：

df
  fruit          definition      page
0 Apple          The fruit.       20
1 Banana tree    A fruit.         30
2 Carrot         A Vegetable.     40

df.col.str.split('(\d+)').explode()

0 Apple The fruit.
0  20
0 Banana tree A fruit.
0  30
0 Carrot A Vegetable.
0  40

df.col.split(".", expand = True)

Answer 1

你可以这样做：

new_df = pd.DataFrame()

new_df[["fruit", "definition"]] = df.col.str.split("\d+")\
    .str[:-1].explode()\
    .str.strip()\
    .str.extract(r'^([A-Z][^A-Z]*)(.*)')

new_df["page"] = df.col.str.findall('\d+').explode()
new_df = new_df.reset_index(drop = True)

new_df
          fruit    definition page
0        Apple     The fruit.   20
1  Banana tree       A fruit.   30
2       Carrot   A Vegetable.   40

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文档

1. pandas.Series.str.split
2. pandas.Series.explode
3. pandas.Series.str.strip
4. pandas.Series.str.extract
5. pandas.Series.str.findall
6. pandas.DataFrame.reset_index