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Given this list
my_lst = ['LAC', 'HOU', '03/03 06:11 PM', '2.13', '1.80', '03/03 03:42 PM'] I want to change its 0th and 1st values according to the dictionary value:
def translate(my_lst): subs = { "Houston": "HOU", "L.A. Clippers": "LAC", } so the list becomes:
['L.A. Clippers', 'Houston', '03/03 06:11 PM', '2.13', '1.80', '03/03 03:42 PM'] 
396
We can replace values inside the list using slicing. First, we find the index of variable that we want to replace and store it in variable 'i'. Then, we replace that item with a new value using list slicing.
Method 1: Using append() function The append function is used to insert a new value in the list of dictionaries, we will use pop() function along with this to eliminate the duplicate data. Syntax: dictionary[row]['key']. append('value')
Replace a specific string in a list. If you want to replace the string of elements of a list, use the string method replace() for each element with the list comprehension. If there is no string to be replaced, applying replace() will not change it, so you don't need to select an element with if condition .
If all values are unique then you should reverse the dict first to get an efficient solution:
>>> subs = { ... "Houston": "HOU", ... "L.A. Clippers": "LAC", ... ... } >>> rev_subs = { v:k for k,v in subs.iteritems()} >>> [rev_subs.get(item,item) for item in my_lst] ['L.A. Clippers', 'Houston', '03/03 06:11 PM', '2.13', '1.80', '03/03 03:42 PM'] If you're only trying to updated selected indexes, then try:
indexes = [0, 1] for ind in indexes: val = my_lst[ind] my_lst[ind] = rev_subs.get(val, val) If the values are unique, then you can flip the dictionary:
subs = {v:k for k, v in subs.iteritems()} Then you can use .get() to get the value from a dictionary, along with a second parameter incase the key is not in the dictionary:
print map(subs.get, my_lst, my_lst) Prints:
['L.A. Clippers', 'Houston', '03/03 06:11 PM', '2.13', '1.80', '03/03 03:42 PM'] If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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