Dataframe中包含字符、符号和数字的复杂计量单位如何从计量值中分离出来？

Question

I am able to separate measurement units which are not complicated from measurement value if they appear together in DataFrame by using suggested answer provided in How do I separate measurement value and unit into their respective columns if they appear together in DataFrame?

However, I couldn't separate complicated measurement unit like area from measurement value as shown in below DataFrame.

measurments	value	unit
mea1	12.8875cm2
mea2	33.1 mL/min/1.73m2
mea3	2.53mg / dL
mea4	0.005ml/ min / m2
mea5	0.8ml/m2
mea6	0.73x10^3/UL

May I know how could I separate complicated measurement unit from measurement value in Dataframe? The expected output is shown below:

measurments	value	unit
mea1	12.8875	cm2
mea2	33.1	mL/min/1.73m2
mea3	2.53	mg/dL
mea4	0.005	ml/min/m2
mea5	0.8	ml/m2
mea6	0.73	x10^3/UL

Thanks.

Answer 1

Use str.extract :

df[['value', 'unit']] = df['value'].str.extract(r'(\d+.?\d*)\s*(.*)')

output:

  measurments    value           unit
0        mea1  12.8875            cm2
1        mea2     33.1  mL/min/1.73m2
2        mea3     2.53        mg / dL
3        mea4    0.005   ml/ min / m2
4        mea5      0.8          ml/m2
5        mea6     0.73       x10^3/UL