Retrieve the ID of Item in List through Name [duplicate] - python
Given a list ["foo", "bar", "baz"] and an item in the list "bar", how do I get its index 1?
>>> ["foo", "bar", "baz"].index("bar")
1
See the documentation for the built-in .index() method of the list:
list.index(x[, start[, end]])
Return zero-based index in the list of the first item whose value is equal to x. Raises a ValueError if there is no such item.
The optional arguments start and end are interpreted as in the slice notation and are used to limit the search to a particular subsequence of the list. The returned index is computed relative to the beginning of the full sequence rather than the start argument.
Caveats
Linear time-complexity in list length
An index call checks every element of the list in order, until it finds a match. If the list is long, and if there is no guarantee that the value will be near the beginning, this can slow down the code.
This problem can only be completely avoided by using a different data structure. However, if the element is known to be within a certain part of the list, the start and end parameters can be used to narrow the search.
For example:
>>> import timeit
>>> timeit.timeit('l.index(999_999)', setup='l = list(range(0, 1_000_000))', number=1000)
9.356267921015387
>>> timeit.timeit('l.index(999_999, 999_990, 1_000_000)', setup='l = list(range(0, 1_000_000))', number=1000)
0.0004404920036904514
The second call is orders of magnitude faster, because it only has to search through 10 elements, rather than all 1 million.
Only the index of the first match is returned
A call to index searches through the list in order until it finds a match, and stops there. If there could be more than one occurrence of the value, and all indices are needed, index cannot solve the problem:
>>> [1, 1].index(1) # the `1` index is not found.
0
Instead, use a list comprehension or generator expression to do the search, with enumerate to get indices:
>>> # A list comprehension gives a list of indices directly:
>>> [i for i, e in enumerate([1, 2, 1]) if e == 1]
[0, 2]
>>> # A generator comprehension gives us an iterable object...
>>> g = (i for i, e in enumerate([1, 2, 1]) if e == 1)
>>> # which can be used in a `for` loop, or manually iterated with `next`:
>>> next(g)
0
>>> next(g)
2
The list comprehension and generator expression techniques still work if there is only one match, and are more generalizable.
Raises an exception if there is no match
As noted in the documentation above, using .index will raise an exception if the searched-for value is not in the list:
>>> [1, 1].index(2)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: 2 is not in list
If this is a concern, either explicitly check first using item in my_list, or handle the exception with try/except as appropriate.
The explicit check is simple and readable, but it must iterate the list a second time. See What is the EAFP principle in Python? for more guidance on this choice.
The majority of answers explain how to find a single index, but their methods do not return multiple indexes if the item is in the list multiple times. Use enumerate():
for i, j in enumerate(['foo', 'bar', 'baz']):
if j == 'bar':
print(i)
The index() function only returns the first occurrence, while enumerate() returns all occurrences.
As a list comprehension:
[i for i, j in enumerate(['foo', 'bar', 'baz']) if j == 'bar']
Here's also another small solution with itertools.count() (which is pretty much the same approach as enumerate):
from itertools import izip as zip, count # izip for maximum efficiency
[i for i, j in zip(count(), ['foo', 'bar', 'baz']) if j == 'bar']
This is more efficient for larger lists than using enumerate():
$ python -m timeit -s "from itertools import izip as zip, count" "[i for i, j in zip(count(), ['foo', 'bar', 'baz']*500) if j == 'bar']"
10000 loops, best of 3: 174 usec per loop
$ python -m timeit "[i for i, j in enumerate(['foo', 'bar', 'baz']*500) if j == 'bar']"
10000 loops, best of 3: 196 usec per loop
To get all indexes:
indexes = [i for i, x in enumerate(xs) if x == 'foo']
index() returns the first index of value!
| index(...)
| L.index(value, [start, [stop]]) -> integer -- return first index of value
def all_indices(value, qlist):
indices = []
idx = -1
while True:
try:
idx = qlist.index(value, idx+1)
indices.append(idx)
except ValueError:
break
return indices
all_indices("foo", ["foo","bar","baz","foo"])
A problem will arise if the element is not in the list. This function handles the issue:
# if element is found it returns index of element else returns None
def find_element_in_list(element, list_element):
try:
index_element = list_element.index(element)
return index_element
except ValueError:
return None
a = ["foo","bar","baz",'bar','any','much']
indexes = [index for index in range(len(a)) if a[index] == 'bar']
You have to set a condition to check if the element you're searching is in the list
if 'your_element' in mylist:
print mylist.index('your_element')
else:
print None
If you want all indexes, then you can use NumPy:
import numpy as np
array = [1, 2, 1, 3, 4, 5, 1]
item = 1
np_array = np.array(array)
item_index = np.where(np_array==item)
print item_index
# Out: (array([0, 2, 6], dtype=int64),)
It is clear, readable solution.
All of the proposed functions here reproduce inherent language behavior but obscure what's going on.
[i for i in range(len(mylist)) if mylist[i]==myterm] # get the indices
[each for each in mylist if each==myterm] # get the items
mylist.index(myterm) if myterm in mylist else None # get the first index and fail quietly
Why write a function with exception handling if the language provides the methods to do what you want itself?
Finding the index of an item given a list containing it in Python
For a list ["foo", "bar", "baz"] and an item in the list "bar", what's the cleanest way to get its index (1) in Python?
Well, sure, there's the index method, which returns the index of the first occurrence:
>>> l = ["foo", "bar", "baz"]
>>> l.index('bar')
1
There are a couple of issues with this method:
if the value isn't in the list, you'll get a ValueError
if more than one of the value is in the list, you only get the index for the first one
No values
If the value could be missing, you need to catch the ValueError.
You can do so with a reusable definition like this:
def index(a_list, value):
try:
return a_list.index(value)
except ValueError:
return None
And use it like this:
>>> print(index(l, 'quux'))
None
>>> print(index(l, 'bar'))
1
And the downside of this is that you will probably have a check for if the returned value is or is not None:
result = index(a_list, value)
if result is not None:
do_something(result)
More than one value in the list
If you could have more occurrences, you'll not get complete information with list.index:
>>> l.append('bar')
>>> l
['foo', 'bar', 'baz', 'bar']
>>> l.index('bar') # nothing at index 3?
1
You might enumerate into a list comprehension the indexes:
>>> [index for index, v in enumerate(l) if v == 'bar']
[1, 3]
>>> [index for index, v in enumerate(l) if v == 'boink']
[]
If you have no occurrences, you can check for that with boolean check of the result, or just do nothing if you loop over the results:
indexes = [index for index, v in enumerate(l) if v == 'boink']
for index in indexes:
do_something(index)
Better data munging with pandas
If you have pandas, you can easily get this information with a Series object:
>>> import pandas as pd
>>> series = pd.Series(l)
>>> series
0 foo
1 bar
2 baz
3 bar
dtype: object
A comparison check will return a series of booleans:
>>> series == 'bar'
0 False
1 True
2 False
3 True
dtype: bool
Pass that series of booleans to the series via subscript notation, and you get just the matching members:
>>> series[series == 'bar']
1 bar
3 bar
dtype: object
If you want just the indexes, the index attribute returns a series of integers:
>>> series[series == 'bar'].index
Int64Index([1, 3], dtype='int64')
And if you want them in a list or tuple, just pass them to the constructor:
>>> list(series[series == 'bar'].index)
[1, 3]
Yes, you could use a list comprehension with enumerate too, but that's just not as elegant, in my opinion - you're doing tests for equality in Python, instead of letting builtin code written in C handle it:
>>> [i for i, value in enumerate(l) if value == 'bar']
[1, 3]
Is this an XY problem?
The XY problem is asking about your attempted solution rather than your actual problem.
Why do you think you need the index given an element in a list?
If you already know the value, why do you care where it is in a list?
If the value isn't there, catching the ValueError is rather verbose - and I prefer to avoid that.
I'm usually iterating over the list anyways, so I'll usually keep a pointer to any interesting information, getting the index with enumerate.
If you're munging data, you should probably be using pandas - which has far more elegant tools than the pure Python workarounds I've shown.
I do not recall needing list.index, myself. However, I have looked through the Python standard library, and I see some excellent uses for it.
There are many, many uses for it in idlelib, for GUI and text parsing.
The keyword module uses it to find comment markers in the module to automatically regenerate the list of keywords in it via metaprogramming.
In Lib/mailbox.py it seems to be using it like an ordered mapping:
key_list[key_list.index(old)] = new
and
del key_list[key_list.index(key)]
In Lib/http/cookiejar.py, seems to be used to get the next month:
mon = MONTHS_LOWER.index(mon.lower())+1
In Lib/tarfile.py similar to distutils to get a slice up to an item:
members = members[:members.index(tarinfo)]
In Lib/pickletools.py:
numtopop = before.index(markobject)
What these usages seem to have in common is that they seem to operate on lists of constrained sizes (important because of O(n) lookup time for list.index), and they're mostly used in parsing (and UI in the case of Idle).
While there are use-cases for it, they are fairly uncommon. If you find yourself looking for this answer, ask yourself if what you're doing is the most direct usage of the tools provided by the language for your use-case.
Getting all the occurrences and the position of one or more (identical) items in a list
With enumerate(alist) you can store the first element (n) that is the index of the list when the element x is equal to what you look for.
>>> alist = ['foo', 'spam', 'egg', 'foo']
>>> foo_indexes = [n for n,x in enumerate(alist) if x=='foo']
>>> foo_indexes
[0, 3]
>>>
Let's make our function findindex
This function takes the item and the list as arguments and return the position of the item in the list, like we saw before.
def indexlist(item2find, list_or_string):
"Returns all indexes of an item in a list or a string"
return [n for n,item in enumerate(list_or_string) if item==item2find]
print(indexlist("1", "010101010"))
Output
[1, 3, 5, 7]
Simple
for n, i in enumerate([1, 2, 3, 4, 1]):
if i == 1:
print(n)
Output:
0
4
me = ["foo", "bar", "baz"]
me.index("bar")
You can apply this for any member of the list to get their index
All indexes with the zip function:
get_indexes = lambda x, xs: [i for (y, i) in zip(xs, range(len(xs))) if x == y]
print get_indexes(2, [1, 2, 3, 4, 5, 6, 3, 2, 3, 2])
print get_indexes('f', 'xsfhhttytffsafweef')
Simply you can go with
a = [['hand', 'head'], ['phone', 'wallet'], ['lost', 'stock']]
b = ['phone', 'lost']
res = [[x[0] for x in a].index(y) for y in b]
Another option
>>> a = ['red', 'blue', 'green', 'red']
>>> b = 'red'
>>> offset = 0;
>>> indices = list()
>>> for i in range(a.count(b)):
... indices.append(a.index(b,offset))
... offset = indices[-1]+1
...
>>> indices
[0, 3]
>>>
And now, for something completely different...
... like confirming the existence of the item before getting the index. The nice thing about this approach is the function always returns a list of indices -- even if it is an empty list. It works with strings as well.
def indices(l, val):
"""Always returns a list containing the indices of val in the_list"""
retval = []
last = 0
while val in l[last:]:
i = l[last:].index(val)
retval.append(last + i)
last += i + 1
return retval
l = ['bar','foo','bar','baz','bar','bar']
q = 'bar'
print indices(l,q)
print indices(l,'bat')
print indices('abcdaababb','a')
When pasted into an interactive python window:
Python 2.7.6 (v2.7.6:3a1db0d2747e, Nov 10 2013, 00:42:54)
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> def indices(the_list, val):
... """Always returns a list containing the indices of val in the_list"""
... retval = []
... last = 0
... while val in the_list[last:]:
... i = the_list[last:].index(val)
... retval.append(last + i)
... last += i + 1
... return retval
...
>>> l = ['bar','foo','bar','baz','bar','bar']
>>> q = 'bar'
>>> print indices(l,q)
[0, 2, 4, 5]
>>> print indices(l,'bat')
[]
>>> print indices('abcdaababb','a')
[0, 4, 5, 7]
>>>
Update
After another year of heads-down python development, I'm a bit embarrassed by my original answer, so to set the record straight, one can certainly use the above code; however, the much more idiomatic way to get the same behavior would be to use list comprehension, along with the enumerate() function.
Something like this:
def indices(l, val):
"""Always returns a list containing the indices of val in the_list"""
return [index for index, value in enumerate(l) if value == val]
l = ['bar','foo','bar','baz','bar','bar']
q = 'bar'
print indices(l,q)
print indices(l,'bat')
print indices('abcdaababb','a')
Which, when pasted into an interactive python window yields:
Python 2.7.14 |Anaconda, Inc.| (default, Dec 7 2017, 11:07:58)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> def indices(l, val):
... """Always returns a list containing the indices of val in the_list"""
... return [index for index, value in enumerate(l) if value == val]
...
>>> l = ['bar','foo','bar','baz','bar','bar']
>>> q = 'bar'
>>> print indices(l,q)
[0, 2, 4, 5]
>>> print indices(l,'bat')
[]
>>> print indices('abcdaababb','a')
[0, 4, 5, 7]
>>>
And now, after reviewing this question and all the answers, I realize that this is exactly what FMc suggested in his earlier answer. At the time I originally answered this question, I didn't even see that answer, because I didn't understand it. I hope that my somewhat more verbose example will aid understanding.
If the single line of code above still doesn't make sense to you, I highly recommend you Google 'python list comprehension' and take a few minutes to familiarize yourself. It's just one of the many powerful features that make it a joy to use Python to develop code.
Here's a two-liner using Python's index() function:
LIST = ['foo' ,'boo', 'shoo']
print(LIST.index('boo'))
Output: 1
A variant on the answer from FMc and user7177 will give a dict that can return all indices for any entry:
>>> a = ['foo','bar','baz','bar','any', 'foo', 'much']
>>> l = dict(zip(set(a), map(lambda y: [i for i,z in enumerate(a) if z is y ], set(a))))
>>> l['foo']
[0, 5]
>>> l ['much']
[6]
>>> l
{'baz': [2], 'foo': [0, 5], 'bar': [1, 3], 'any': [4], 'much': [6]}
>>>
You could also use this as a one liner to get all indices for a single entry. There are no guarantees for efficiency, though I did use set(a) to reduce the number of times the lambda is called.
Finding index of item x in list L:
idx = L.index(x) if (x in L) else -1
This solution is not as powerful as others, but if you're a beginner and only know about forloops it's still possible to find the first index of an item while avoiding the ValueError:
def find_element(p,t):
i = 0
for e in p:
if e == t:
return i
else:
i +=1
return -1
There is a chance that that value may not be present so to avoid this ValueError, we can check if that actually exists in the list .
list = ["foo", "bar", "baz"]
item_to_find = "foo"
if item_to_find in list:
index = list.index(item_to_find)
print("Index of the item is " + str(index))
else:
print("That word does not exist")
List comprehension would be the best option to acquire a compact implementation in finding the index of an item in a list.
a_list = ["a", "b", "a"]
print([index for (index , item) in enumerate(a_list) if item == "a"])
It just uses the python function array.index() and with a simple Try / Except it returns the position of the record if it is found in the list and return -1 if it is not found in the list (like on JavaScript with the function indexOf()).
fruits = ['apple', 'banana', 'cherry']
try:
pos = fruits.index("mango")
except:
pos = -1
In this case "mango" is not present in the list fruits so the pos variable is -1, if I had searched for "cherry" the pos variable would be 2.
There is a more functional answer to this.
list(filter(lambda x: x[1]=="bar",enumerate(["foo", "bar", "baz", "bar", "baz", "bar", "a", "b", "c"])))
More generic form:
def get_index_of(lst, element):
return list(map(lambda x: x[0],\
(list(filter(lambda x: x[1]==element, enumerate(lst))))))
For one comparable
# Throws ValueError if nothing is found
some_list = ['foo', 'bar', 'baz'].index('baz')
# some_list == 2
Custom predicate
some_list = [item1, item2, item3]
# Throws StopIteration if nothing is found
# *unless* you provide a second parameter to `next`
index_of_value_you_like = next(
i for i, item in enumerate(some_list)
if item.matches_your_criteria())
Finding index of all items by predicate
index_of_staff_members = [
i for i, user in enumerate(users)
if user.is_staff()]
Python index() method throws an error if the item was not found. So instead you can make it similar to the indexOf() function of JavaScript which returns -1 if the item was not found:
try:
index = array.index('search_keyword')
except ValueError:
index = -1
name ="bar"
list = [["foo", 1], ["bar", 2], ["baz", 3]]
new_list=[]
for item in list:
new_list.append(item[0])
print(new_list)
try:
location= new_list.index(name)
except:
location=-1
print (location)
This accounts for if the string is not in the list too, if it isn't in the list then location = -1
If you are going to find an index once then using "index" method is fine. However, if you are going to search your data more than once then I recommend using bisect module. Keep in mind that using bisect module data must be sorted. So you sort data once and then you can use bisect.
Using bisect module on my machine is about 20 times faster than using index method.
Here is an example of code using Python 3.8 and above syntax:
import bisect
from timeit import timeit
def bisect_search(container, value):
return (
index
if (index := bisect.bisect_left(container, value)) < len(container)
and container[index] == value else -1
)
data = list(range(1000))
# value to search
value = 666
# times to test
ttt = 1000
t1 = timeit(lambda: data.index(value), number=ttt)
t2 = timeit(lambda: bisect_search(data, value), number=ttt)
print(f"{t1=:.4f}, {t2=:.4f}, diffs {t1/t2=:.2f}")
Output:
t1=0.0400, t2=0.0020, diffs t1/t2=19.60
For those coming from another language like me, maybe with a simple loop it's easier to understand and use it:
mylist = ["foo", "bar", "baz", "bar"]
newlist = enumerate(mylist)
for index, item in newlist:
if item == "bar":
print(index, item)
I am thankful for So what exactly does enumerate do?. That helped me to understand.
Since Python lists are zero-based, we can use the zip built-in function as follows:
>>> [i for i,j in zip(range(len(haystack)), haystack) if j == 'needle' ]
where "haystack" is the list in question and "needle" is the item to look for.
(Note: Here we are iterating using i to get the indexes, but if we need rather to focus on the items we can switch to j.)
Related
Return index in Python "in" operator [duplicate]
Given a list ["foo", "bar", "baz"] and an item in the list "bar", how do I get its index 1?
>>> ["foo", "bar", "baz"].index("bar") 1 See the documentation for the built-in .index() method of the list: list.index(x[, start[, end]]) Return zero-based index in the list of the first item whose value is equal to x. Raises a ValueError if there is no such item. The optional arguments start and end are interpreted as in the slice notation and are used to limit the search to a particular subsequence of the list. The returned index is computed relative to the beginning of the full sequence rather than the start argument. Caveats Linear time-complexity in list length An index call checks every element of the list in order, until it finds a match. If the list is long, and if there is no guarantee that the value will be near the beginning, this can slow down the code. This problem can only be completely avoided by using a different data structure. However, if the element is known to be within a certain part of the list, the start and end parameters can be used to narrow the search. For example: >>> import timeit >>> timeit.timeit('l.index(999_999)', setup='l = list(range(0, 1_000_000))', number=1000) 9.356267921015387 >>> timeit.timeit('l.index(999_999, 999_990, 1_000_000)', setup='l = list(range(0, 1_000_000))', number=1000) 0.0004404920036904514 The second call is orders of magnitude faster, because it only has to search through 10 elements, rather than all 1 million. Only the index of the first match is returned A call to index searches through the list in order until it finds a match, and stops there. If there could be more than one occurrence of the value, and all indices are needed, index cannot solve the problem: >>> [1, 1].index(1) # the `1` index is not found. 0 Instead, use a list comprehension or generator expression to do the search, with enumerate to get indices: >>> # A list comprehension gives a list of indices directly: >>> [i for i, e in enumerate([1, 2, 1]) if e == 1] [0, 2] >>> # A generator comprehension gives us an iterable object... >>> g = (i for i, e in enumerate([1, 2, 1]) if e == 1) >>> # which can be used in a `for` loop, or manually iterated with `next`: >>> next(g) 0 >>> next(g) 2 The list comprehension and generator expression techniques still work if there is only one match, and are more generalizable. Raises an exception if there is no match As noted in the documentation above, using .index will raise an exception if the searched-for value is not in the list: >>> [1, 1].index(2) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: 2 is not in list If this is a concern, either explicitly check first using item in my_list, or handle the exception with try/except as appropriate. The explicit check is simple and readable, but it must iterate the list a second time. See What is the EAFP principle in Python? for more guidance on this choice.
The majority of answers explain how to find a single index, but their methods do not return multiple indexes if the item is in the list multiple times. Use enumerate(): for i, j in enumerate(['foo', 'bar', 'baz']): if j == 'bar': print(i) The index() function only returns the first occurrence, while enumerate() returns all occurrences. As a list comprehension: [i for i, j in enumerate(['foo', 'bar', 'baz']) if j == 'bar'] Here's also another small solution with itertools.count() (which is pretty much the same approach as enumerate): from itertools import izip as zip, count # izip for maximum efficiency [i for i, j in zip(count(), ['foo', 'bar', 'baz']) if j == 'bar'] This is more efficient for larger lists than using enumerate(): $ python -m timeit -s "from itertools import izip as zip, count" "[i for i, j in zip(count(), ['foo', 'bar', 'baz']*500) if j == 'bar']" 10000 loops, best of 3: 174 usec per loop $ python -m timeit "[i for i, j in enumerate(['foo', 'bar', 'baz']*500) if j == 'bar']" 10000 loops, best of 3: 196 usec per loop
To get all indexes: indexes = [i for i, x in enumerate(xs) if x == 'foo']
index() returns the first index of value! | index(...) | L.index(value, [start, [stop]]) -> integer -- return first index of value def all_indices(value, qlist): indices = [] idx = -1 while True: try: idx = qlist.index(value, idx+1) indices.append(idx) except ValueError: break return indices all_indices("foo", ["foo","bar","baz","foo"])
A problem will arise if the element is not in the list. This function handles the issue: # if element is found it returns index of element else returns None def find_element_in_list(element, list_element): try: index_element = list_element.index(element) return index_element except ValueError: return None
a = ["foo","bar","baz",'bar','any','much'] indexes = [index for index in range(len(a)) if a[index] == 'bar']
You have to set a condition to check if the element you're searching is in the list if 'your_element' in mylist: print mylist.index('your_element') else: print None
If you want all indexes, then you can use NumPy: import numpy as np array = [1, 2, 1, 3, 4, 5, 1] item = 1 np_array = np.array(array) item_index = np.where(np_array==item) print item_index # Out: (array([0, 2, 6], dtype=int64),) It is clear, readable solution.
All of the proposed functions here reproduce inherent language behavior but obscure what's going on. [i for i in range(len(mylist)) if mylist[i]==myterm] # get the indices [each for each in mylist if each==myterm] # get the items mylist.index(myterm) if myterm in mylist else None # get the first index and fail quietly Why write a function with exception handling if the language provides the methods to do what you want itself?
Finding the index of an item given a list containing it in Python For a list ["foo", "bar", "baz"] and an item in the list "bar", what's the cleanest way to get its index (1) in Python? Well, sure, there's the index method, which returns the index of the first occurrence: >>> l = ["foo", "bar", "baz"] >>> l.index('bar') 1 There are a couple of issues with this method: if the value isn't in the list, you'll get a ValueError if more than one of the value is in the list, you only get the index for the first one No values If the value could be missing, you need to catch the ValueError. You can do so with a reusable definition like this: def index(a_list, value): try: return a_list.index(value) except ValueError: return None And use it like this: >>> print(index(l, 'quux')) None >>> print(index(l, 'bar')) 1 And the downside of this is that you will probably have a check for if the returned value is or is not None: result = index(a_list, value) if result is not None: do_something(result) More than one value in the list If you could have more occurrences, you'll not get complete information with list.index: >>> l.append('bar') >>> l ['foo', 'bar', 'baz', 'bar'] >>> l.index('bar') # nothing at index 3? 1 You might enumerate into a list comprehension the indexes: >>> [index for index, v in enumerate(l) if v == 'bar'] [1, 3] >>> [index for index, v in enumerate(l) if v == 'boink'] [] If you have no occurrences, you can check for that with boolean check of the result, or just do nothing if you loop over the results: indexes = [index for index, v in enumerate(l) if v == 'boink'] for index in indexes: do_something(index) Better data munging with pandas If you have pandas, you can easily get this information with a Series object: >>> import pandas as pd >>> series = pd.Series(l) >>> series 0 foo 1 bar 2 baz 3 bar dtype: object A comparison check will return a series of booleans: >>> series == 'bar' 0 False 1 True 2 False 3 True dtype: bool Pass that series of booleans to the series via subscript notation, and you get just the matching members: >>> series[series == 'bar'] 1 bar 3 bar dtype: object If you want just the indexes, the index attribute returns a series of integers: >>> series[series == 'bar'].index Int64Index([1, 3], dtype='int64') And if you want them in a list or tuple, just pass them to the constructor: >>> list(series[series == 'bar'].index) [1, 3] Yes, you could use a list comprehension with enumerate too, but that's just not as elegant, in my opinion - you're doing tests for equality in Python, instead of letting builtin code written in C handle it: >>> [i for i, value in enumerate(l) if value == 'bar'] [1, 3] Is this an XY problem? The XY problem is asking about your attempted solution rather than your actual problem. Why do you think you need the index given an element in a list? If you already know the value, why do you care where it is in a list? If the value isn't there, catching the ValueError is rather verbose - and I prefer to avoid that. I'm usually iterating over the list anyways, so I'll usually keep a pointer to any interesting information, getting the index with enumerate. If you're munging data, you should probably be using pandas - which has far more elegant tools than the pure Python workarounds I've shown. I do not recall needing list.index, myself. However, I have looked through the Python standard library, and I see some excellent uses for it. There are many, many uses for it in idlelib, for GUI and text parsing. The keyword module uses it to find comment markers in the module to automatically regenerate the list of keywords in it via metaprogramming. In Lib/mailbox.py it seems to be using it like an ordered mapping: key_list[key_list.index(old)] = new and del key_list[key_list.index(key)] In Lib/http/cookiejar.py, seems to be used to get the next month: mon = MONTHS_LOWER.index(mon.lower())+1 In Lib/tarfile.py similar to distutils to get a slice up to an item: members = members[:members.index(tarinfo)] In Lib/pickletools.py: numtopop = before.index(markobject) What these usages seem to have in common is that they seem to operate on lists of constrained sizes (important because of O(n) lookup time for list.index), and they're mostly used in parsing (and UI in the case of Idle). While there are use-cases for it, they are fairly uncommon. If you find yourself looking for this answer, ask yourself if what you're doing is the most direct usage of the tools provided by the language for your use-case.
Getting all the occurrences and the position of one or more (identical) items in a list With enumerate(alist) you can store the first element (n) that is the index of the list when the element x is equal to what you look for. >>> alist = ['foo', 'spam', 'egg', 'foo'] >>> foo_indexes = [n for n,x in enumerate(alist) if x=='foo'] >>> foo_indexes [0, 3] >>> Let's make our function findindex This function takes the item and the list as arguments and return the position of the item in the list, like we saw before. def indexlist(item2find, list_or_string): "Returns all indexes of an item in a list or a string" return [n for n,item in enumerate(list_or_string) if item==item2find] print(indexlist("1", "010101010")) Output [1, 3, 5, 7] Simple for n, i in enumerate([1, 2, 3, 4, 1]): if i == 1: print(n) Output: 0 4
me = ["foo", "bar", "baz"] me.index("bar") You can apply this for any member of the list to get their index
All indexes with the zip function: get_indexes = lambda x, xs: [i for (y, i) in zip(xs, range(len(xs))) if x == y] print get_indexes(2, [1, 2, 3, 4, 5, 6, 3, 2, 3, 2]) print get_indexes('f', 'xsfhhttytffsafweef')
Simply you can go with a = [['hand', 'head'], ['phone', 'wallet'], ['lost', 'stock']] b = ['phone', 'lost'] res = [[x[0] for x in a].index(y) for y in b]
Another option >>> a = ['red', 'blue', 'green', 'red'] >>> b = 'red' >>> offset = 0; >>> indices = list() >>> for i in range(a.count(b)): ... indices.append(a.index(b,offset)) ... offset = indices[-1]+1 ... >>> indices [0, 3] >>>
And now, for something completely different... ... like confirming the existence of the item before getting the index. The nice thing about this approach is the function always returns a list of indices -- even if it is an empty list. It works with strings as well. def indices(l, val): """Always returns a list containing the indices of val in the_list""" retval = [] last = 0 while val in l[last:]: i = l[last:].index(val) retval.append(last + i) last += i + 1 return retval l = ['bar','foo','bar','baz','bar','bar'] q = 'bar' print indices(l,q) print indices(l,'bat') print indices('abcdaababb','a') When pasted into an interactive python window: Python 2.7.6 (v2.7.6:3a1db0d2747e, Nov 10 2013, 00:42:54) [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> def indices(the_list, val): ... """Always returns a list containing the indices of val in the_list""" ... retval = [] ... last = 0 ... while val in the_list[last:]: ... i = the_list[last:].index(val) ... retval.append(last + i) ... last += i + 1 ... return retval ... >>> l = ['bar','foo','bar','baz','bar','bar'] >>> q = 'bar' >>> print indices(l,q) [0, 2, 4, 5] >>> print indices(l,'bat') [] >>> print indices('abcdaababb','a') [0, 4, 5, 7] >>> Update After another year of heads-down python development, I'm a bit embarrassed by my original answer, so to set the record straight, one can certainly use the above code; however, the much more idiomatic way to get the same behavior would be to use list comprehension, along with the enumerate() function. Something like this: def indices(l, val): """Always returns a list containing the indices of val in the_list""" return [index for index, value in enumerate(l) if value == val] l = ['bar','foo','bar','baz','bar','bar'] q = 'bar' print indices(l,q) print indices(l,'bat') print indices('abcdaababb','a') Which, when pasted into an interactive python window yields: Python 2.7.14 |Anaconda, Inc.| (default, Dec 7 2017, 11:07:58) [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> def indices(l, val): ... """Always returns a list containing the indices of val in the_list""" ... return [index for index, value in enumerate(l) if value == val] ... >>> l = ['bar','foo','bar','baz','bar','bar'] >>> q = 'bar' >>> print indices(l,q) [0, 2, 4, 5] >>> print indices(l,'bat') [] >>> print indices('abcdaababb','a') [0, 4, 5, 7] >>> And now, after reviewing this question and all the answers, I realize that this is exactly what FMc suggested in his earlier answer. At the time I originally answered this question, I didn't even see that answer, because I didn't understand it. I hope that my somewhat more verbose example will aid understanding. If the single line of code above still doesn't make sense to you, I highly recommend you Google 'python list comprehension' and take a few minutes to familiarize yourself. It's just one of the many powerful features that make it a joy to use Python to develop code.
Here's a two-liner using Python's index() function: LIST = ['foo' ,'boo', 'shoo'] print(LIST.index('boo')) Output: 1
A variant on the answer from FMc and user7177 will give a dict that can return all indices for any entry: >>> a = ['foo','bar','baz','bar','any', 'foo', 'much'] >>> l = dict(zip(set(a), map(lambda y: [i for i,z in enumerate(a) if z is y ], set(a)))) >>> l['foo'] [0, 5] >>> l ['much'] [6] >>> l {'baz': [2], 'foo': [0, 5], 'bar': [1, 3], 'any': [4], 'much': [6]} >>> You could also use this as a one liner to get all indices for a single entry. There are no guarantees for efficiency, though I did use set(a) to reduce the number of times the lambda is called.
Finding index of item x in list L: idx = L.index(x) if (x in L) else -1
This solution is not as powerful as others, but if you're a beginner and only know about forloops it's still possible to find the first index of an item while avoiding the ValueError: def find_element(p,t): i = 0 for e in p: if e == t: return i else: i +=1 return -1
There is a chance that that value may not be present so to avoid this ValueError, we can check if that actually exists in the list . list = ["foo", "bar", "baz"] item_to_find = "foo" if item_to_find in list: index = list.index(item_to_find) print("Index of the item is " + str(index)) else: print("That word does not exist")
List comprehension would be the best option to acquire a compact implementation in finding the index of an item in a list. a_list = ["a", "b", "a"] print([index for (index , item) in enumerate(a_list) if item == "a"])
It just uses the python function array.index() and with a simple Try / Except it returns the position of the record if it is found in the list and return -1 if it is not found in the list (like on JavaScript with the function indexOf()). fruits = ['apple', 'banana', 'cherry'] try: pos = fruits.index("mango") except: pos = -1 In this case "mango" is not present in the list fruits so the pos variable is -1, if I had searched for "cherry" the pos variable would be 2.
There is a more functional answer to this. list(filter(lambda x: x[1]=="bar",enumerate(["foo", "bar", "baz", "bar", "baz", "bar", "a", "b", "c"]))) More generic form: def get_index_of(lst, element): return list(map(lambda x: x[0],\ (list(filter(lambda x: x[1]==element, enumerate(lst))))))
For one comparable # Throws ValueError if nothing is found some_list = ['foo', 'bar', 'baz'].index('baz') # some_list == 2 Custom predicate some_list = [item1, item2, item3] # Throws StopIteration if nothing is found # *unless* you provide a second parameter to `next` index_of_value_you_like = next( i for i, item in enumerate(some_list) if item.matches_your_criteria()) Finding index of all items by predicate index_of_staff_members = [ i for i, user in enumerate(users) if user.is_staff()]
Python index() method throws an error if the item was not found. So instead you can make it similar to the indexOf() function of JavaScript which returns -1 if the item was not found: try: index = array.index('search_keyword') except ValueError: index = -1
name ="bar" list = [["foo", 1], ["bar", 2], ["baz", 3]] new_list=[] for item in list: new_list.append(item[0]) print(new_list) try: location= new_list.index(name) except: location=-1 print (location) This accounts for if the string is not in the list too, if it isn't in the list then location = -1
If you are going to find an index once then using "index" method is fine. However, if you are going to search your data more than once then I recommend using bisect module. Keep in mind that using bisect module data must be sorted. So you sort data once and then you can use bisect. Using bisect module on my machine is about 20 times faster than using index method. Here is an example of code using Python 3.8 and above syntax: import bisect from timeit import timeit def bisect_search(container, value): return ( index if (index := bisect.bisect_left(container, value)) < len(container) and container[index] == value else -1 ) data = list(range(1000)) # value to search value = 666 # times to test ttt = 1000 t1 = timeit(lambda: data.index(value), number=ttt) t2 = timeit(lambda: bisect_search(data, value), number=ttt) print(f"{t1=:.4f}, {t2=:.4f}, diffs {t1/t2=:.2f}") Output: t1=0.0400, t2=0.0020, diffs t1/t2=19.60
For those coming from another language like me, maybe with a simple loop it's easier to understand and use it: mylist = ["foo", "bar", "baz", "bar"] newlist = enumerate(mylist) for index, item in newlist: if item == "bar": print(index, item) I am thankful for So what exactly does enumerate do?. That helped me to understand.
Since Python lists are zero-based, we can use the zip built-in function as follows: >>> [i for i,j in zip(range(len(haystack)), haystack) if j == 'needle' ] where "haystack" is the list in question and "needle" is the item to look for. (Note: Here we are iterating using i to get the indexes, but if we need rather to focus on the items we can switch to j.)
Fastest way to get the index of the first sublist that contains value
I have a list of lists in python of the form A=[[1,2,3,4], [5,6,7,8], [9,10,11,12]] I need to get a fast way to get the row index of an element in that structure. method(2) = 0 method(8) = 1 method(12) = 2 and so on. As always, the fastest the method the better, as my actual list of lists is quite large.
In this state, the data structure (list of lists) is not quite convenient and efficient for the queries you want to make on it. Restructure it to have it in a form: item -> list of sublist indexes # assuming items can be present in multiple sublists This way the lookups would be instant, by key - O(1). Let's use defaultdict(list): >>> from collections import defaultdict >>> >>> d = defaultdict(list) >>> for index, sublist in enumerate(A): ... for item in sublist: ... d[item].append(index) ... >>> d[2] [0] >>> d[8] [1] >>> d[12] [2]
It is very simple using next() with a generator expression: def method(lists, value): return next(i for i, v in enumerate(lists) if value in v) The problem with that is that it will have an error if value does not occur. With a slightly longer function call, you can make a default of -1: def method(lists, value): return next((i for i,v in enumerate(lists) if value in v), -1)
Here is another way using numpy import numpy A = [[1,2,3,4],[5,6,7,8],[9,10,11,12]] my_array = numpy.array(A) numpy.where(my_array==2) ## will return both the list and the index within the list numpy.where(my_array==12) ## As a follow up if we want only the index we can always do : numpy.where(my_array==12)[0][0] # will return 2 , index of list numpy.where(my_array==12)[1][0] # will return 3 , index within list
find operation in list is linear. Following is simple code in python to find an element in list of lists. A=[[1,2,3,4], [5,6,7,8], [9,10,11,12]] def method(value): for idx, list in enumerate(A): if value in list: return idx return -1 print (method(12))
How do you know if something is in an array or not in python?
If I have something like: list = [[1,2,3],[4,5,6],[7,8,9]] Then how do I check if 1 is in the first, second, or third array? I want it to be able to make an expression such as: if 1 is in list 1: do something elif i is in list 2: do something else: do something
Try using any: any(1 in sub for sub in [[1,2,3],[4,5,6],[7,8,9]]) >>> list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] >>> any(1 in sub for sub in list) True >>> any(10 in sub for sub in list) False >>> any(7 in sub for sub in list) True >>>
Well, if you know the contents of the list, you can use if 1 in list[0]: do_something() elif 1 in list[1]: do_something_else() else: # 1 is in list[2] do_something_different()
Derived from "Dive Into Python" list = [[1,2,3],[4,5,6],[7,8,9]] if 1 in list[0]: do something elif 1 in list[1]: do something else: do something ...and so on. The in keyword takes a preceding value argument and returns a true if that value is in the proceeding list, false otherwise. The only other thing to know is list[0] accesses your first element in the top level list (the first sublist) and so on, allowing it to be searched for a specific integer using the in keyword. Here's the expected output: >>> list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] >>> 1 in list[0] True >>> 1 in list[1] False To search all lists you can use the for keyword to loop over your lists and any to return true if any of the sublists match. >>> any(1 in sublist for sublist in list) True >>> any(42 in sublist for sublist in list) False
You can use Python's built-in "in" operator. This operator returns True if the item is in the iterable (list in this case), or False if it is not. x_in_array = x in array The Python doc that covers this is here, under section 5.6: https://docs.python.org/2/library/stdtypes.html Your if/elif/else statements would then look like: if x in array_1: # do something elif x in array_2: # do something else: # do something else
If you want to return the index of the list: >>> def idx_check(i, l): ... for (idx, val) in enumerate(l): ... if i in val: ... return idx ... return None ... >>> l = [[1,2,3],[4,5,6],[7,8,9]] >>> idx_check(1, l) 0 >>> idx_check(4, l) 1 >>> idx_check(7, l) 2
First of all: I know it's just an example, but don't use list as a variable in Python. It is a keyword/built-in function. Second: you can use iteration to accomplish this. You can iterate through the members of a list (or any iterable object, or any iterator) like this: for item in L: # do something with item You can keep track of the number of times you have entered the loop using the enumerate function. The enumerate function returns a two-tuple in the form of member_index_number, member: for num,item in enumerate(L): # do something with num and item Almost there- now you need a way to associate the above iteration with your list of functions. The usual way this is done in python is with a dictionary, but you could also just use a list. # list way funcs_list = [f1, f2, f3] for num,item in enumerate(L): if 1 in item: funcs_list[funcs_list.index(num)]() break # dictionary way funcs_dict = {0: f1, 1: f2, 2: f3} for num,item in enumerate(L): if 1 in item: funcs_dict[num]() break The dictionary method is usually preferred because it looks much cleaner.
What is the most efficient way to find the index of an element in a list, given only an element of a sublist (Python)
I.e. Does something like the following exist? lst = [["a", "b", "c"], [4,5,6],"test"] print getIndex(lst, "a") >>> 0 print getIndex(lst, 5) >>> 1 print getIndex(lst, "test") >>> 2 I know of the regular index() method but that only looks for the immediate elements. I have a rough solution of making a new list, parsing through the superlist and adding "y" or "n" then looking for the index of the "y" in that one, but I feel there is much better way. Thanks
There is a problem with hellpanderrr's solution. It assumes that the main list elements will only be lists or strings. It fails if one searches on a list where another type is in the main list (the in operation raises a TypeError). E.g.: lst2 = [["a", "b", "c"], [4, 5, 6], "test", 19] >>> getIndex(lst2, 19) # Ugly TypeError stack trace ensues To fix this: def getIndex2(lst, item): for n, i in enumerate(lst): try: if item == i or item in i: return n except TypeError: pass return None Now: >>> getIndex2(lst2, "test") 2 >>> getIndex2(lst2, 19) 3 There are several ways to accomplish the "equals or in" test. This solution bowls right through, using a "get forgiveness not permission" idiom to catch the times when the in on i is not type-appropriate. It would also be possible to test the type of i before the in operation, or directly ask if i supports the in operation. But direct type inspection is often frowned upon, and strings and containers in Python have some complex overlapping capabilities. The "get forgiveness" approach gracefully handles those more simply. Note that this also explicitly handles the case where no value is found. >>> print getIndex2(lst2, 333) None While functions not returning a value implicitly return None, it is better to be explicit about such default cases. By the by, this approach handles two levels. If the lists can be arbitrarily nested, a different approach, likely involving recursion, would be needed.
use a generator e.g. in >= Python 2.6, if you know the item exists in a sublist: idx = next(i for i,v in enumerate(lst) if item in v)
Try using the default function to the list: list.index l = [[1,2,3], ['a', 'b', 'c']] l[0].index(2) # index 1 l[1].index('b') # index 1 This generates a "ValueError" if the item does not exist.
def getIndex(lst,item): for n,i in enumerate(lst): if (type(i) == list and item in i) or i == item return n getIndex(lst,'test') >>> 2
Python: finding an element in a list [duplicate]
This question already has answers here: Finding the index of an item in a list (43 answers) Closed 9 years ago. What is a good way to find the index of an element in a list in Python? Note that the list may not be sorted. Is there a way to specify what comparison operator to use?
From Dive Into Python: >>> li ['a', 'b', 'new', 'mpilgrim', 'z', 'example', 'new', 'two', 'elements'] >>> li.index("example") 5
If you just want to find out if an element is contained in the list or not: >>> li ['a', 'b', 'new', 'mpilgrim', 'z', 'example', 'new', 'two', 'elements'] >>> 'example' in li True >>> 'damn' in li False
The best way is probably to use the list method .index. For the objects in the list, you can do something like: def __eq__(self, other): return self.Value == other.Value with any special processing you need. You can also use a for/in statement with enumerate(arr) Example of finding the index of an item that has value > 100. for index, item in enumerate(arr): if item > 100: return index, item Source
Here is another way using list comprehension (some people might find it debatable). It is very approachable for simple tests, e.g. comparisons on object attributes (which I need a lot): el = [x for x in mylist if x.attr == "foo"][0] Of course this assumes the existence (and, actually, uniqueness) of a suitable element in the list.
assuming you want to find a value in a numpy array, I guess something like this might work: Numpy.where(arr=="value")[0]
There is the index method, i = array.index(value), but I don't think you can specify a custom comparison operator. It wouldn't be hard to write your own function to do so, though: def custom_index(array, compare_function): for i, v in enumerate(array): if compare_function(v): return i
I use function for returning index for the matching element (Python 2.6): def index(l, f): return next((i for i in xrange(len(l)) if f(l[i])), None) Then use it via lambda function for retrieving needed element by any required equation e.g. by using element name. element = mylist[index(mylist, lambda item: item["name"] == "my name")] If i need to use it in several places in my code i just define specific find function e.g. for finding element by name: def find_name(l, name): return l[index(l, lambda item: item["name"] == name)] And then it is quite easy and readable: element = find_name(mylist,"my name")
The index method of a list will do this for you. If you want to guarantee order, sort the list first using sorted(). Sorted accepts a cmp or key parameter to dictate how the sorting will happen: a = [5, 4, 3] print sorted(a).index(5) Or: a = ['one', 'aardvark', 'a'] print sorted(a, key=len).index('a')
how's this one? def global_index(lst, test): return ( pair[0] for pair in zip(range(len(lst)), lst) if test(pair[1]) ) Usage: >>> global_index([1, 2, 3, 4, 5, 6], lambda x: x>3) <generator object <genexpr> at ...> >>> list(_) [3, 4, 5]
I found this by adapting some tutos. Thanks to google, and to all of you ;) def findall(L, test): i=0 indices = [] while(True): try: # next value in list passing the test nextvalue = filter(test, L[i:])[0] # add index of this value in the index list, # by searching the value in L[i:] indices.append(L.index(nextvalue, i)) # iterate i, that is the next index from where to search i=indices[-1]+1 #when there is no further "good value", filter returns [], # hence there is an out of range exeption except IndexError: return indices A very simple use: a = [0,0,2,1] ind = findall(a, lambda x:x>0)) [2, 3] P.S. scuse my english