For a numerical array—especially one with multiple dimensions—use NumPy’s np.zeros(). For example, np.zeros(5) creates a NumPy array with five zeros. The alternatives below return different types: Python lists or a standard-library array.array, not a NumPy ndarray.
1. Create a NumPy array with np.zeros()
Use NumPy when your code expects an ndarray or needs multidimensional numerical data. The function returns a new array filled with zeros; its default element type is float64.
import numpy as np
zeros = np.zeros(5) # five floating-point zeros
integer_zeros = np.zeros(5, dtype=int)
matrix = np.zeros((2, 3), dtype=int) # two rows, three columnsA scalar shape such as 5 creates a one-dimensional array. A tuple such as (2, 3) sets the size of each dimension. Specify dtype when the elements should use a particular type; for example, dtype=int requests integers rather than the default floating-point values. See the NumPy zeros reference for the full signature and options.
The optional order argument controls memory layout: 'C' is C-style row-major order and 'F' is Fortran-style column-major order. The like argument, added in NumPy 1.20.0, can delegate array creation to a compatible array-like object. The device argument is documented as new in NumPy 2.0.0; for Array API interoperability, its value must be 'cpu' if supplied.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errors#1 Best Overall
- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
- Convert USB-A Ports to USB-C: Designed to connect USB-C earphones, cables, flash drives, card readers, and other USB-C accessories to standard USB-A ports. Plug-and-play with no drivers or software required.
- Aluminum Alloy Housing: Built with a sturdy aluminum alloy shell that aids in heat dissipation and protects against daily wear and scratches. Designed to maintain a stable and secure connection.
- Compact & Travel-Friendly: The ultra-compact design allows the adapter to stay plugged into your device without blocking adjacent ports or adding bulk, reducing wear and tear on your original USB ports.
- 12-Month Warranty: Backed by a 12-month manufacturer warranty for peace of mind. Designed to meet strict quality control standards for reliable everyday performance.
2. Create a flat Python list with repetition
For a basic one-dimensional sequence of zeros, repeat the integer zero:
n = 5
zeros = [0] * nThis returns a built-in Python list, not a NumPy array. Repeating the immutable integer 0 is suitable for a flat zero list. Python’s sequence documentation explains repetition and its behavior with repeated references in the common sequence operations reference.
Rank #2
- 5-in-1 USB-C Hub: Experience comprehensive connectivity featuring a Power Delivery input, two USB-A 2.0 ports, a USB-A 3.0 port, and an HDMI port. (Note: The USB-C power delivery input port is only for connecting an external wall charger to power your laptop and cannot power peripheral devices.)
- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
- 4K HDMI Display: Enhance your visual experience with a hub capable of delivering 4K resolution at 30Hz in both mirror and extend modes. Please note that this hub is compatible with MacBook (macOS 12 and newer), Windows 10 and 11, ChromeOS, and laptops equipped with DP Alt Mode and Power Delivery. Note: This device is not compatible with Linux.
- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
3. Create a list with a comprehension
A list comprehension is another way to make an ordinary Python list:
n = 5
zeros = [0 for _ in range(n)]Choose this form when each element’s initialization may later involve a more involved expression. To make a two-dimensional nested list, construct each row separately:
Rank #3
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
rows, cols = 2, 3
matrix = [[0 for _ in range(cols)] for _ in range(rows)]
# Also safe for immutable zero values:
matrix = [[0] * cols for _ in range(rows)]Avoid [[0] * cols] * rows if rows will be changed independently. That expression repeats references to the same inner list, so changing one row also changes the others. A comprehension creates a distinct row each time. Python documents this behavior in its sequence operations reference.
4. Create a typed numeric array with array.array
Python’s standard library offers array.array for compact sequences of basic values constrained by a type code:
Rank #4
- Dual Converters, Infinite Potential：Includes 2× USB C male to USB A female adapters and 2× USB A male to USB C female adapters. Perfect for a wide range of uses—tablets with Bluetooth keyboards, expand USB ports on macbook, and more. Two different converters for all your daily needs
- Next-Level 10Gbps & 3A Charging: No more slow 480Mbps, this usb to usb c adapter has a transfer speed of up to 10Gbps, allowing you to do more transferring in less time. This usb adapter fits both USB A and USB C charger, supporting up to 3A fast charging
- Upgraded Exquisite Craftsmanship: With an aluminum alloy housing and metal connector, the usbc to usb adapter is extremely durable and sturdy. Rigorously tested to withstand more than 10,000 times of plugging and unplugging, ensuring long-lasting performance
- Broad Compatible: The usb c to usb adapter widely supports all USB C/ USB A devices like laptops, tablets, cellphones, car chargers, and phone chargers. Such as compatible with MacBook Pro/Air 2023/2022, Thunderbolt 4/3 Devices,Apple MagSafe Watch 9/8/7/SE/Ultra, iPad Pro 2022/2021, Samsung Galaxy S23/S20/S10, and iPhone 17/16/15 Pro. Plug and play
- Please Note: To reach 10Gbps speed, keep the cable under 3.3 ft. For USB A Male to USB C adapters, try flipping the USB C connector. USB C Male to USB A adapters support bidirectional 10Gbps transfer within 3.3 ft
from array import array
zeros = array('i', [0]) * 5This returns an array.array, not a list or NumPy ndarray. The type code 'i' requests the C int type. Element representation and size depend on the machine architecture and C implementation, so this interface is not identical to NumPy’s dtype system. See the Python array documentation.
Which method should you use?
| Method | Returns | Use it when |
|---|---|---|
np.zeros(shape, dtype=...) |
NumPy ndarray | Your consumer expects NumPy, or you need NumPy’s multidimensional numerical operations. |
[0] * n or a list comprehension |
Built-in Python list | You need a simple Python sequence rather than a NumPy array. |
array('i', [0]) * n |
Standard-library array.array |
You want a typed array of basic values using the standard library. |
Decide first what type the rest of your code needs, then choose the shape and element type. In particular, use dtype with NumPy when integer elements matter: np.zeros() defaults to float64.
Recommended Free Tools
Best Value
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Why not use np.empty()?
np.empty() does not initialize its elements to zero; it returns uninitialized content. It is appropriate only when your code will fill every element before reading it, so it does not satisfy a requirement to create zeros. See the NumPy input and output guide.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
