将一个字符串列拆分为多列 Pandas

Question

I have one string column looks like below

*Summary *: Technology * Time *: June 2021 * Additional Detail *: xxx etc

I want to split this one column into multiple columns like below but not sure how I can achieve this

Summary Time Additional Detail

Technology June 2021 xxx

Thanks

Answer 1

I would use either.str methods or apply a custom function with result_type='expand' (latter not shown)

Editing after question was clarified:

## given that original column is called 'original_col'
## and a regular pattern is followed.
for i, field in enumerate(df.original_col.values[0].split(' ')): 
    # iterates through first 'reference' cell [chunks of field:value pairs]
    current_field = field.split(':')[0] #field name
    current_series = df.original_col.str.split(' ').str[i].str.split(':')[-1]
    df[current_field]= current_series