Once you’ve created a list or collection in Python, it might be useful to have each item numbered. Instead of going through the list manually and adding numerals one by one, it can be well worth looking into the enumerate function. This is a built-in tool that will go through a list...
def split_names_into_rows(name_list, modulus=3): for index, name in enumerate(name_list, start=1): print(f"{name:-^15} ", end="") if index % modulus == 0: print() print() This code defines split_names_into_rows(), which takes two parameters. name_list is a list of name...
Thus, Python does not have the end keyword, since you can omit stop to achieve the same behavior. Try out the following examples of the slice syntax in NumPy: Python In [1]: import numpy as np In [2]: arr_1 = np.arange(1, 7, 2) In [3]: arr_1[1:] Out[3]: array([3...
This can be combined with slicing as we saw earlier or with built-in methods like enumerate(). Example 5: Access elements of array by looping. from array import array # import array class from array module # define array of floats a = array('f', [4,3,6,33,2,8,0]) # Normal ...
lst = [dict([(colname, row[i]) for i, colname in enumerate(df.columns)]) for row in df.values] for i in range(3): print lst[i] con = pymongo.Connection('localhost', port = 27017) test = con.db.test test.drop() for i in lst: test.save(i) Step 2: Using RMango, wri...
You can find more details on that use of * here and general advice on using * and ** in Python here. Note that I don't recommend using * for converting one iterable to another: lines = [*my_file] That does work, but I find this more readable (it's almost certainly more obvious...
This error means Python can't find the list position you're asking for. Fix it with enumerate(), proper length checks, or by using -1 to safely get the last item.
for i,l in enumerate(pythonList): for v in l: dataTree.Add(v,gh.Kernel.Data.GH_Path(i)) return dataTree I suppose my real question now is what the heck is going on with this script? The big stumper is "dataTree.Add(v,gh.Kernel.Data.GH_Path(i))". ...
train() for batch_idx, (data, target) in enumerate(train_loader): data, target = data.to(device), target.to(device) optimizer.zero_grad() output = model(data) loss = F.nll_loss(output, target) loss.backward() optimizer.step() if batch_idx % log_interval == 0: print(f'...
How enumerate() Works in Python The Pythonenumerate()function takes a data collection and returns an enumerate object. The enumerate object contains a counter as a key for each item the object contains. Theenumerate()function does so by assigning each item a count. This count corresponds to th...