On Thu, Jan 31, 2019 at 12:52 PM Chris Barker via Python-ideas <python-ideas@python.org> wrote:

I know that when I'm used to working with numpy and then need to do some string processing or some such, I find myself missing this "vectorization" -- if I want to do the same operation on a whole bunch of strings, why do I need to write a loop or comprehension or map?

Isn't what you want called "Pandas"? E.g.:

>>> type(strs)
<class 'pandas.core.series.Series'>

>>> strs
0 Jan
1 Feb
2 Mar
3 Apr
4 May
5 Jun
6 Jul
7 Aug
8 Sep
9 Oct
10 Nov
11 Dec

>>> strs.str.upper()
0 JAN
1 FEB
2 MAR
3 APR
4 MAY
5 JUN
6 JUL
7 AUG
8 SEP
9 OCT
10 NOV
11 DEC

>>> strs.str.upper().str.count('A')
0 1
1 0
2 1
3 1
4 1
5 0
6 0
7 1
8 0
9 0
10 0
11 0

>>> strs.str.replace('[aA]','X')
0 JXn
1 Feb
2 MXr
3 Xpr
4 MXy
5 Jun
6 Jul
7 Xug
8 Sep
9 Oct
10 Nov
11 Dec

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