🔥 itertools functions pros use
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Welcome back to Pandas Daily! Your daily 5-minute boost to becoming confident in Python. 📢 Quick Announcement: At the end I will be sharing a super useful excel tip daily. So, don't miss! Yesterday we saw the lazy processing of itertools and how it handles data to save memory. That was the warm up. There are more tricks up its sleeve. Need product bundles for your store? Or generate size-color combination for your inventory? Most will write endless loops. itertools does this in one line. 🛍️ combinations to build bundles (order does not matter)
In:
items = ["A", "B", "C"] pairs = list(combinations(items, 2)) print(pairs)
Out:
[('A', 'B'), ('A', 'C'), ('B', 'C')]
🚚 permutations when order matters
In:
steps = ["Pick", "Pack", "Ship"] flows = list(permutations(steps, 2)) print(flows)
Out:
[('Pick', 'Pack'), ('Pick', 'Ship'), ('Pack', 'Pick'), ('Pack', 'Ship'), ('Ship', 'Pick'), ('Ship', 'Pack')]
🏷️ product for all combinations between 2 things
In:
sizes = ["S", "M", "L"] colors = ["Black", "White"] grid = list(product(sizes, colors)) print(grid)
Out:
[('S', 'Black'), ('S', 'White'), ('M', 'Black'), ('M', 'White'), ('L', 'Black'), ('L', 'White')]
🔗 islice to get first N without loading all
In:
stream = (n for n in range(1000)) head = list(islice(stream, 5)) print(head)
Out:
[0, 1, 2, 3, 4]
🐇 islice (start, end, step) This gives Every 3rd record
In:
data = list(range(30)) sample = list(islice(data, 5, 20, 3)) print(sample)
Out:
[5, 8, 11, 14, 17]
⏳ compress to filter basis flag
In:
items = ["A", "B", "C", "D", "E"] flags = [1, 0, 1, 0, 1] # keep where flag is 1 active = list(compress(items, flags)) print(active)
Out:
['A', 'C', 'E']
👨👦👦 groupby across similar objects
In:
from itertools import groupby sales = [("StoreA", 200), ("StoreA", 150), ("StoreB", 300), ("StoreB", 100)] for store, group in groupby(sales, key=lambda x: x[0]): print(store, list(group))
Out:
StoreA [('StoreA', 200), ('StoreA', 150)] StoreB [('StoreB', 300), ('StoreB', 100)] You can also do aggregation like count or sum store wise sales. Reply to know how! 💡 Quick Excel Tip
⭐📣 That's it for today! If you liked it, please share it with anyone who will find it useful and share your feedback below 🐼
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