不带分隔符的拆分字母数字列 pandas dataframe

Question

I have a column in pandas dataframe, where i need to split the column into multiple columns, the issue I am facing is there is no delimiter to the column value. Here is the dataframe

import pandas as pd   
data =   ['MSFT220121C00180000','MSFT220121C00185000','MSFT220121C00200000'] 
df = pd.DataFrame(data, columns = ['contract']) 
df 

output

    contract
0   MSFT220121C00180000
1   MSFT220121C00185000
2   MSFT220121C00200000

desired output

   ticker date  type series
0   MSFT 220121 C 00180000
1   MSFT 220121 C 00185000
2   MSFT 220121 C 00200000

I tried something with regex

r = re.compile("([a-zA-Z]+)([0-9]+)")
 ('MSFT', '220121')

which didn't give me the desired result.

Answer 1

You can use series.str.extractall() with unstack() :

m=df.contract.str.extractall('([a-zA-Z]+)([0-9]+)').unstack().sort_index(level=1,axis=1)
m.columns=['ticker','date','type','series']
print(m)

Or:

import itertools
m=pd.DataFrame([[*itertools.chain.from_iterable(i)] 
               for i in df.contract.str.findall('([a-zA-Z]+)([0-9]+)')],
               columns=['ticker','date','type','series'])

---

  ticker    date type    series
0   MSFT  220121    C  00180000
1   MSFT  220121    C  00185000
2   MSFT  220121    C  00200000