Let's say I have a list
l = ['michael','michael','alice','carter']
I want to map it to the following:
k = [1,1,2,3]
Where michael corresponds to 1, alice corresponds to 2 etc. Is there a function in Python to do this easily?
Have a look at ord
, which gives the unicode number for a given character:
>>> letters = ['a','b','c','d','e','f','g']
>>> [ord(x) for x in letters]
[97, 98, 99, 100, 101, 102, 103]
So you could do ord(x)-96
to convert a-z
to 1-26
(careful about upper case, etc).
l = ['a','b','a','c']
k = [ord(x)-96 for x in l] # [1,2,1,3]
Again, careful about upper case and non-alphabet characters.
In order to answer the edited question, i.e., to map the list of strings to unique integers, one has to first find the unique strings and then do 1-1 mapping of the strings to integers in the original list of strings. For example,
s = ['michael','michael','alice','carter']
then unique strings are {'michael','alice','carter'}
. Now, convert these strings to integers by 1-1 mapping like {'michael','alice','carter'} =[1,2,3]
using dictionary {'michael':1,'alice':2,'carter':3}
. In the third step, loop through the original list of strings; search the string in the dictionary for the corresponding integer and replace the string by that integer.
s=['michael','michael','alice','carter']
mydict={}
i = 0
for item in s:
if(i>0 and item in mydict):
continue
else:
i = i+1
mydict[item] = i
k=[]
for item in s:
k.append(mydict[item])
Output:
k=[1, 1, 2, 3]
How about using Pandas?
import pandas as pd
l = ['michael','michael','alice','carter']
pd.Series(l).astype('category').cat.codes.values
To map list of integers to list of strings I would use a dictionary, for example:
> name_number = {'michael':1, 'michael':1, 'alice':2, 'carter':3}
> print len(name_number)
3
> print name_number['alice']
2
Note that len(name_number)
is 3
, because duplicate keys are not allowed.
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