Nov 1, 2011 · That might be okay depending on what you need, but if you want to iterate over the values in the order of the first instance of each value, and you want to remove the duplicates on-the-fly versus all at once, you could use this generator:

Nov 4, 2009 · However, I would think switching to an ordered set (with any implementation, but especially a pure Python one) would be significantly slower than an unordered (hashtable-based) set. Depending on the size of the list and how well the hash function performs on the items, it might be faster to just use a normal set and then sort the items afterward.

Given a list of strings, I want to sort it alphabetically and remove duplicates. I know I can do this: from sets import Set [...] myHash = Set(myList) but I don't know how to retrieve the list members from the hash in alphabetical order. I'm not married to …

In CPython 3.6+ (and all other Python implementations starting with Python 3.7+), dictionaries are ordered, so the way to remove duplicates from an iterable while keeping it in the original order is:

Jun 16, 2018 · import pandas as pd data = pd.read_excel('your_excel_path_goes_here.xlsx') #print(data) data.drop_duplicates(subset=["Column1"], keep="first") keep=first to instruct Python to keep the first value and remove other columns duplicate values. keep=last to instruct Python to keep the last value and remove other columns duplicate values.

Jun 9, 2022 · I have downloaded a CSV file from Hotmail, but it has a lot of duplicates in it. These duplicates are complete copies and I don't know why my phone created them. I want to get rid of the duplicates. Technical specification: Windows XP SP 3 Python 2.7 CSV file with 400 contacts

Apr 18, 2015 · (In the CPython implementation, this is already supported in Python 3.6 as an implementation detail.) foo = "mppmt" result = "".join(dict.fromkeys(foo)) resulting in the string "mpt". In earlier versions of Python, you can use collections.OrderedDict, which has been available starting from Python 2.7.

Feb 24, 2012 · The benchmark graphs are time vs. list-size based on a list containing no duplicates (that was chosen arbitrarily, the runtime doesn't change significantly if I add some or lots of duplicates). It's a log-log plot so the complete range is covered.

# remove duplicates... def unique(my_list): return [x for x in my_list if x not in locals()['_[1]'].__self__] Edit: I removed the "self", and it works on Mac OS X, Python 2.5.1. The _[1] is Python's "secret" reference to the new list. The above, of course, is a little messy, but you could adapt it fit your needs as necessary.

Jan 6, 2012 · Dst, src, and alias can be duplicates. All records will always have a dst and src but not every record will necessarily have an alias as seen in the third record. In the sample data either of the first two records would be removed (doesn't matter to me which one).