How do I print the full NumPy array without truncation?

Bypassing truncation, context managers, and print functionality

Let's get into more fine-tuned control over printing arrays!

Convert array to list

Escape the bonds of NumPy's print rules by turning your array into a plain-old Python list:

print(your_array.tolist())
# Python lists might not have NumPy's sleek performance, but hey, no one truncates them! 😆
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Use context managers

Need a once-off sneak peek of the full array without changing global settings? Utilize **np.printoptions **:

with np.printoptions(threshold=np.inf):
    print(your_array) 
# Context Manager a.k.a temporary parole from NumPy's print restrictions!
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After this block, settings seamlessly revert to original. No strings attached!

Define fullprint function for frequent use

Encapsulate above within a function. This is handy when you find yourself needing to print full arrays frequently:

def fullprint(*args, **kwargs):
    with np.printoptions(threshold=np.inf):
        print(*args, **kwargs)
# "Display all" function a.k.a your new favourite printing toy 🧸
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Pretty print with pprint

When working with complex, multidimensional arrays, enlist the help of pprint:

from pprint import pprint

pprint(your_array)
# Who says programmers don't care about aesthetics?
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Creating large scale testing arrays

Experiment your new-found print powers on larger arrays using **numpy.arange ** and reshape:

large_array = np.arange(10000).reshape(100,100)
fullprint(large_array) 
# "Is this array large? Yes. Do we print it all anyway? Also yes!" 😅
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Hands-on with printoptions parameters

NumPy's printoptions packs more tools than just threshold. For instance:

• precision: controls decimal places for floating-point numbers.
• suppress: toggle to display small numbers without scientific notation.
• formatter: for advanced tweaks in how arrays are printed.