Reputation: 810
I want to write my each string's letter frequencies. My inputs and expected outputs are like this.
"aaaa" -> "a4"
"abb" -> "a1b2"
"abbb cc a" -> "a1b3 c2 a1"
"bbbaaacddddee" -> "b3a3c1d4e2"
"a b" -> "a1 b1"
I found this solution but it gives the frequencies in random order. How can I do this?
Upvotes: 0
Views: 332
Reputation: 174
There is no need to iterate every character in every word.
This is an alternate solution. (If you don't want to use itertools, that looked pretty tidy.)
def word_stats(data: str=""):
all = []
for word in data.split(" "):
res = []
while len(word)>0:
res.append(word[:1] + str(word.count(word[:1])))
word = word.replace(word[:1],"")
res.sort()
all.append("".join(res))
return " ".join(all)
print(word_stats("asjssjbjbbhsiaiic ifiaficjxzjooro qoprlllkskrmsnm mmvvllvlxjxj jfnnfcncnnccnncsllsdfi"))
print(word_stats("abbb cc a"))
print(word_stats("bbbaaacddddee"))
This would output:
c5d1f3i1j1l2n7s2
a1b3 c2 a1
a3b3c1d4e2
Upvotes: 0
Reputation: 3369
For me, it is a little bit trickier that it looks at first. For example, it does look that "bbbaaacddddee" -> "b3a3c1d4e2"
needs the count results to be outputted in the order of appearance in the passed string:
import re
def unique_elements(t):
l = []
for w in t:
if w not in l:
l.append(w)
return l
def splitter(s):
res = []
tokens = re.split("[ ]+", s)
for token in tokens:
s1 = unique_elements(token) # or s1 = sorted(set(token))
this_count = "".join([k + str(v) for k, v in list(zip(s1, [token.count(x) for x in s1]))])
res.append(this_count)
return " ".join(res)
print(splitter("aaaa"))
print(splitter("abb"))
print(splitter("abbb cc a"))
print(splitter("bbbaaacddddee"))
print(splitter("a b"))
OUTPUT
a4
a1b2
a1b3 c2 a1
b3a3c1d4e2
a1 b1
If the order of appearance is not a real deal, you can disregard the unique_elements
function and simply substitute something like s1 = sorted(set(token))
within splitter
, as indicated in the comment.
Upvotes: 1
Reputation: 6956
Does this satisfy your needs?
from itertools import groupby
s = "bbbaaac ddddee aa"
groups = groupby(s)
result = [(label, sum(1 for _ in group)) for label, group in groups]
res1 = "".join("{}{}".format(label, count) for label, count in result)
# 'b3a3c1 1d4e2 1a2'
# spaces just as spaces, do not include their count
import re
re.sub(' [0-9]+', ' ', res1)
'b3a3c1 d4e2 a2'
Upvotes: 1