How to use re to split the column containg string combine integer without contain symbol

Question:

Here is a column in df which contains integer and string both combine together.
(even here’s numbers type are string)

I want split the df[‘symbol’] into df[‘num’] and df[‘name’],how can I do this question by re.

QUESTION:

df = pd.DataFrame({'symbol': ['12345abc', '2234bcd', '323456cde'],'date':[5, 6, 7]})

ideal:

df1 = pd.DataFrame({'symbol': ['12345', '2234', '323456'],
               'name':['abc','bcd','cde'],
               'date':[5, 6, 7]})

Thanks to instructor.

Asked By: Tony Lin

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Source

Answers:

Can you try this

df[["", "symbol", "name"]] = df["symbol"].astype(str).str.split("(d+)", expand=True)
Answered By: assume_irrational_is_rational

split is not the best tool for this, rather use extract:

df[['symbol', 'name']] = df['symbol'].str.extract(r'(d+)(D+)')

Output:

   symbol  date name
0   12345     5  abc
1    2234     6  bcd
2  323456     7  cde
Answered By: mozway