NumPy doesn't recognize decimal.Decimal as a specific type. The closest it can get is the most general dtype, object. So when converting the elements to the desired dtype, the conversion is a no operation.

>>> ss.dtype
dtype('object')

Keep in mind that because the elements of the array are Python objects, you won't get much of a speedup using them. For example, if you try to add this to any other array, the other elements will have to be boxed back into Python objects and added via the normal Python addition code. You might gain some speed in that the iteration will be in C, but not that much.

Answer from AFoglia on Stack Overflow
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W3Schools
w3schools.com › python › numpy › numpy_ufunc_rounding_decimals.asp
NumPy ufuncs - Rounding Decimals
NumPy Editor NumPy Quiz NumPy Exercises NumPy Syllabus NumPy Study Plan NumPy Certificate ... Remove the decimals, and return the float number closest to zero.
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Reddit
reddit.com › r/learnpython › is there something like numpy but with decimal calculations for exact decimal points?
r/learnpython on Reddit: Is there something like Numpy but with decimal calculations for EXACT decimal points?
October 7, 2023 -

I use numpy for some statistics assignments and it's quite annoying to not get exact answers when my assignment demands exact answers. I thought I could use the Decimal library to convert all my inputs to decimal before feeding them into a numpy array, but that hasn't exactly worked.

Is there something that could help me here?

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GitHub
gist.github.com › 6971cfc889856ed94835
Python: Decimal array with Numpy test · GitHub
Python: Decimal array with Numpy test. GitHub Gist: instantly share code, notes, and snippets.
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GitHub
github.com › numpy › numpy › issues › 9789
Add a numpy.decimal type? · Issue #9789 · numpy/numpy
September 28, 2017 - The reason for the type is so that np.round works a little nicer. The np.Decimal type would have an overridden round so that myNpObject.round() would work, as well as np.round(np.Decimal).
Author   garrypolley
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NumPy
numpy.org › doc › 2.1 › reference › generated › numpy.format_float_positional.html
numpy.format_float_positional — NumPy v2.1 Manual
Pad the right side of the string with whitespace until at least that many characters are to the right of the decimal point. ... Minimum number of digits to print. Only has an effect if unique=True in which case additional digits past those necessary to uniquely identify the value may be printed, rounding the last additional digit. New in version 1.21.0. ... >>> import numpy as np >>> np.format_float_positional(np.float32(np.pi)) '3.1415927' >>> np.format_float_positional(np.float16(np.pi)) '3.14' >>> np.format_float_positional(np.float16(0.3)) '0.3' >>> np.format_float_positional(np.float16(0.3), unique=False, precision=10) '0.3000488281'
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w3resource
w3resource.com › python-exercises › numpy › python-numpy-math-exercise-8.php
NumPy: Round array elements to the given number of decimals - w3resource
August 29, 2025 - x = np.round([0.28, .50, .64], decimals=1) – This code rounds the values in the list [0.28, 0.50, 0.64] to one decimal place using the np.round function with the decimals argument set to 1.
Find elsewhere
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NumPy
numpy.org › doc › stable › user › basics.types.html
Data types — NumPy v2.4 Manual
Be warned that even if numpy.longdouble offers more precision than python float, it is easy to lose that extra precision, since python often forces values to pass through float. For example, the % formatting operator requires its arguments to be converted to standard python types, and it is therefore impossible to preserve extended precision even if many decimal ...
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Vultr Docs
docs.vultr.com › python › third-party › numpy › round
Python Numpy round() - Round Decimal Numbers | Vultr Docs
November 15, 2024 - This code results in a NumPy array where decimals are rounded to the nearest whole numbers: [2., 2., 4., 4.].
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SciPy
docs.scipy.org › doc › numpy-1.13.0 › reference › generated › numpy.round_.html
numpy.round — NumPy v1.13 Manual
numpy.round_(a, decimals=0, out=None)[source]¶ · Round an array to the given number of decimals. Refer to around for full documentation. See also · around · equivalent function · numpy.around · numpy.rint · © Copyright 2008-2009, The Scipy community. Last updated on Jun 10, 2017.
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NumPy
numpy.org › doc › stable › reference › generated › numpy.format_float_positional.html
numpy.format_float_positional — NumPy v2.4 Manual
Pad the right side of the string with whitespace until at least that many characters are to the right of the decimal point. ... Minimum number of digits to print. Only has an effect if unique=True in which case additional digits past those necessary to uniquely identify the value may be printed, rounding the last additional digit. New in version 1.21.0. ... Try it in your browser! >>> import numpy as np >>> np.format_float_positional(np.float32(np.pi)) '3.1415927' >>> np.format_float_positional(np.float16(np.pi)) '3.14' >>> np.format_float_positional(np.float16(0.3)) '0.3' >>> np.format_float_positional(np.float16(0.3), unique=False, precision=10) '0.3000488281'
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Spark By {Examples}
sparkbyexamples.com › home › python › python numpy round() array function
Python NumPy round() Array Function - Spark By {Examples}
March 27, 2024 - Python NumPy round() is a built-in function used to return the rounded values of the source array to the nearest integer. It also takes the decimal values