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Python 2022-03-01 23:20:01
zip function python 3
>>> numbers = [1, 2, 3] >>> letters = ['a', 'b', 'c'] >>> zipped = zip(numbers, letters) >>> zipped # Holds an iterator object <zip object at 0x7fa4831153c8> >>> type(zipped) <class 'zip'> >>... Add solution -
Python 2022-01-22 17:15:32
python zip function
>>> numbers = [1, 2, 3] >>> letters = ['a', 'b', 'c'] >>> zipped = zip(numbers, letters) >>> zipped # Holds an iterator object <zip object at 0x7fa4831153c8> >>> type(zipped) <class 'zip'> >>... Add solution -
TypeScript 2021-11-18 02:37:13
ipykernel_launcher.py:3: PerformanceWarning: indexing past lexsort depth may impact performance. This is separate from the ipykernel package so we can avoid doing imports until
arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'], ['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']] tuples = list(zip(*arrays)) tuples index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second']) index s =... Add solution -
Python 2021-11-16 16:01:14
shuffle two arrays the same way python
# Example usage using random: import random # Say you want to shuffle (randomly reorder) the following lists in the # same way (e.g. because there's an association between the elements that # you want to maintain): your_list_1 = ['the', 'original', 'order... Add solution -
Python 2021-11-13 16:31:26
add lists as a columns to a csv file
import pandas as pd list1 = [1, 2, 3] list2 = [4, 5, 6] list3 = [7, 8, 9] df = pd.DataFrame(list(zip(*[list1, list2, list3]))).add_prefix('Col') df.to_csv('file.csv', index=False) print(df) Col0 Col1 Col2 0 1 4 7 1 2 5 8 ... Add solution -
Python 2021-10-12 02:28:05
python shuffle two lists in the same way
# Example usage using random: import random # Say you want to shuffle (randomly reorder) the following lists in the # same way (e.g. because there's an association between the elements that # you want to maintain): your_list_1 = ['the', 'original', 'order... Add solution