- Given an integer number
- Given an initial string value
How to create an array of
n copies of
s in Python?
# Input: n = 5 s = '' # Output: ['', '', '', '', '']
Method 1: List Multiplication
The most Pythonic way to create a string array in Python of string
s and size
n is to use the list multiplication asterisk operator in the expression
[s] * n.
# Method 1: List Multiplication a = [s] * n print(a) # ['', '', '', '', '']
Method 2: For Loop
# Method 2: For Loop a =  for i in range(n): a.append(s) print(a) # ['', '', '', '', '']
Background: Python Loops
Method 3: List Comprehension
List comprehension is a concise way to create a new list in a single line. List comprehension is a compact way of creating lists. The simple formula is
[expression + context].
- Expression: What to do with each list element?
- Context: What elements to select? The context consists of an arbitrary number of for and if statements.
Here’s an example:
# Method 3: List Comprehension a = [s for _ in range(n)] print(a) # ['', '', '', '', '']
Background: An Introduction to List Comprehension
Method 4: Creating a NumPy Array
NumPy is Python’s standard library for numerical computations. The closest thing to a Java array in Python is a NumPy array. You can create a NumPy array from any Python list by passing the list into the
# Method 4: NumPy import numpy as np a = np.array([s for _ in range(n)]) print(a) # ['' '' '' '' '']
The string data type in Python is immutable. This means that you cannot change a string after creating it. This is unlike Java where you can change a string after creating it. Therefore, it often doesn’t make sense to initialize an array with some default strings because those strings cannot be modified later on. The only thing you can do is to overwrite the strings in the list. But if you were doing this, adding the dummy value doesn’t make a lot of sense in the first place.
Background Video List Comprehension
Where to Go From Here?
Enough theory. Let’s get some practice!
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