The sorted()
function takes a key=
parameter
newlist = sorted(list_to_be_sorted, key=lambda d: d['name'])
Alternatively, you can use operator.itemgetter
instead of defining the function yourself
from operator import itemgetter
newlist = sorted(list_to_be_sorted, key=itemgetter('name'))
For completeness, add reverse=True
to sort in descending order
newlist = sorted(list_to_be_sorted, key=itemgetter('name'), reverse=True)
Python 3.7+ or CPython 3.6
Dicts preserve insertion order in Python 3.7+. Same in CPython 3.6, but it's an implementation detail.
>>> x = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}
>>> {k: v for k, v in sorted(x.items(), key=lambda item: item[1])}
{0: 0, 2: 1, 1: 2, 4: 3, 3: 4}
or
>>> dict(sorted(x.items(), key=lambda item: item[1]))
{0: 0, 2: 1, 1: 2, 4: 3, 3: 4}
Older Python
It is not possible to sort a dictionary, only to get a representation of a dictionary that is sorted. Dictionaries are inherently orderless, but other types, such as lists and tuples, are not. So you need an ordered data type to represent sorted values, which will be a list—probably a list of tuples.
For instance,
import operator
x = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}
sorted_x = sorted(x.items(), key=operator.itemgetter(1))
sorted_x
will be a list of tuples sorted by the second element in each tuple. dict(sorted_x) == x
.
And for those wishing to sort on keys instead of values:
import operator
x = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}
sorted_x = sorted(x.items(), key=operator.itemgetter(0))
In Python3 since unpacking is not allowed we can use
x = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}
sorted_x = sorted(x.items(), key=lambda kv: kv[1])
If you want the output as a dict, you can use collections.OrderedDict
:
import collections
sorted_dict = collections.OrderedDict(sorted_x)
Best Answer
If you're using
tesseract 3
(which I assume you are). You'll have to rebuild youreng.trainddata
file.I intended to replace the word-dawg file completely to try to get better results (ie - the words I'm detecting are always the same).
You'll need
combine_tessdata
andwordlist2dawg
executables in the training directory when you compile tesseract.unpack everything (i did this just to back up my eng.word-dawg, you'll also need the unicharset later)
./combine_tessdata -u eng.traineddata
create a textfile of your wordlist (wordlistfile)
create a eng.word-dawg
./wordlist2dawg wordlistfile eng.word-dawg traineddat_backup/.unicharset
replace the word-dawg file
./combine_tessdata -o eng.traineddata eng.word-dawg
that should be it.