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Maximum allowed value for a numpy data type

stackoverflow.com › questions › 23189506 › maximum-allowed-value-for-a-numpy-data-type

min_value = np.iinfo(im.dtype).min
max_value = np.iinfo(im.dtype).max

docs:

np.iinfo (machine limits for integer types)
np.finfo (machine limits for floating point types)

Answer from Bruno Gelb on Stack Overflow

NumPy

numpy.org › doc › 2.2 › reference › generated › numpy.max.html

numpy.max — NumPy v2.2 Manual

>>> import numpy as np >>> a = np.arange(4).reshape((2,2)) >>> a array([[0, 1], [2, 3]]) >>> np.max(a) # Maximum of the flattened array 3 >>> np.max(a, axis=0) # Maxima along the first axis array([2, 3]) >>> np.max(a, axis=1) # Maxima along the second axis array([1, 3]) >>> np.max(a, where=[False, True], initial=-1, axis=0) array([-1, 3]) >>> b = np.arange(5, dtype=float...

Stack Overflow

stackoverflow.com › questions › 23189506 › maximum-allowed-value-for-a-numpy-data-type

python - Maximum allowed value for a numpy data type - Stack Overflow

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181

min_value = np.iinfo(im.dtype).min
max_value = np.iinfo(im.dtype).max

docs:

np.iinfo (machine limits for integer types)
np.finfo (machine limits for floating point types)

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25

You're looking for numpy.iinfo for integer types. Documentation here.

There's also numpy.finfo for floating point types. Documentation here.

GitHub

github.com › numpy › numpy › issues › 15586

np.max doesn't work for comparing float numbers · Issue #15586 · numpy/numpy

February 17, 2020 - Reproducing code example: import numpy as np print (np.max(450.0802234473462, 85.0)) Error message: print (np.max(450.0802234473462, 85.0)) File " ", line 6, in amax File "E:\miniconda3\envs\python37\lib\site...

Author zxdawn

reddit.com › r/learnpython › how do i get max value of np.float32?

How do I get max value of np.float32? : r/learnpython

March 31, 2021 - The maximum value of a float32 is infinity.

Note.nkmk.me

note.nkmk.me › home › python

Maximum and Minimum float Values in Python | note.nkmk.me

August 11, 2023 - In Python, the float type is a 64-bit double-precision floating-point number, equivalent to double in languages like C. This article explains how to get and check the range (maximum and minimum values ...

Real Python

realpython.com › numpy-max-maximum

NumPy's max() and maximum(): Find Extreme Values in Arrays – Real Python

January 18, 2025 - But here, you just want to get the best view of the weekly maximum values. The solution, in this case, is another NumPy package function, np.fmax(): ... Now, two of the missing values have simply been ignored, and the remaining floating-point value at that index has been taken as the maximum.

Spark By {Examples}

sparkbyexamples.com › home › python › find maximum float value in python

Find Maximum Float Value in Python - Spark By {Examples}

May 31, 2024 - How to find the maximum float value in Python? You can find the maximum value of the float data type using the sys.float_info module or the finfo() function from the NumPy library.

Stack Overflow

stackoverflow.com › questions › 1658714 › how-to-get-the-range-of-valid-numpy-data-types

python - How to get the range of valid Numpy data types? - Stack Overflow

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78

Quoting from a numpy discussion list:

That information is available via numpy.finfo() and numpy.iinfo():
In [12]: finfo('d').max
Out[12]: 1.7976931348623157e+308

In [13]: iinfo('i').max
Out[13]: 2147483647

In [14]: iinfo('uint8').max
Out[14]: 255

Link here.

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69

You can use numpy.iinfo(arg).max to find the max value for integer types of arg, and numpy.finfo(arg).max to find the max value for float types of arg.

>>> numpy.iinfo(numpy.uint64).min
0
>>> numpy.iinfo(numpy.uint64).max
18446744073709551615L
>>> numpy.finfo(numpy.float64).max
1.7976931348623157e+308
>>> numpy.finfo(numpy.float64).min
-1.7976931348623157e+308

iinfo only offers min and max, but finfo also offers useful values such as eps (the smallest number > 0 representable) and resolution (the approximate decimal number resolution of the type of arg).

NumPy

numpy.org › doc › stable › reference › generated › numpy.max.html

numpy.max — NumPy v2.4 Manual

>>> import numpy as np >>> a = np.arange(4).reshape((2,2)) >>> a array([[0, 1], [2, 3]]) >>> np.max(a) # Maximum of the flattened array 3 >>> np.max(a, axis=0) # Maxima along the first axis array([2, 3]) >>> np.max(a, axis=1) # Maxima along the second axis array([1, 3]) >>> np.max(a, where=[False, True], initial=-1, axis=0) array([-1, 3]) >>> b = np.arange(5, dtype=float...

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NumPy

numpy.org › doc › stable › reference › generated › numpy.finfo.html

numpy.finfo — NumPy v2.4 Manual

January 31, 2021 - The smallest representable number, typically -max. ... The most negative power of the base (2) consistent with there being no leading 0’s in the mantissa. Corresponds to the C standard MIN_EXP - 1. ... The exponent that yields epsneg. ... The number of bits in the exponent including its sign ...

Stack Overflow

stackoverflow.com › questions › 7538802 › python-return-max-float-instead-of-infs

floating point - Python: Return max float instead of infs? - Stack Overflow

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3

You can use a decorator:

import sys
def noInf(f):
  def wrapped(*args, **kwargs):
    res = f(*args, **kwargs)
    if res == float('inf'):
      return sys.float_info.max
    return res
  return wrapped

@noInf
def myMult(x, y):
  return x*y

print(myMult(sys.float_info.max, 2)) # prints 1.79769313486e+308

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2

I don't know about 'replacing' infinity value, but what about using min()? Something like (assuming x yields your value):

return min ( [ x, sys.float_info.max ] )

NumPy

numpy.org › doc › stable › user › basics.types.html

Data types — NumPy v2.4 Manual

NumPy provides numpy.iinfo and numpy.finfo to verify the minimum or maximum values of NumPy integer and floating point values respectively

NumPy

numpy.org › devdocs › reference › generated › numpy.finfo.html

numpy.finfo — NumPy v2.5.dev0 Manual

The smallest representable number, typically -max. ... The most negative power of the base (2) consistent with there being no leading 0’s in the mantissa. Corresponds to the C standard MIN_EXP - 1. ... The exponent that yields epsneg. ... The number of bits in the exponent including its sign ...

TutorialsPoint

tutorialspoint.com › article › get-the-machine-limits-information-for-float-types-in-python

Get the Machine limits information for float types in Python

February 24, 2022 - c = np.finfo(np.float64) print("\nMinimum of float64 type...\n",c.min) print("Maximum of float64 type...\n",c.max) import numpy as np # To get the machine limits information for float types, use the numpy.finfo() method in Python Numpy # The first parameter is the floating type i.e.

NumPy

numpy.org › doc › 2.1 › reference › generated › numpy.max.html

numpy.max — NumPy v2.1 Manual

>>> import numpy as np >>> a = np.arange(4).reshape((2,2)) >>> a array([[0, 1], [2, 3]]) >>> np.max(a) # Maximum of the flattened array 3 >>> np.max(a, axis=0) # Maxima along the first axis array([2, 3]) >>> np.max(a, axis=1) # Maxima along the second axis array([1, 3]) >>> np.max(a, where=[False, True], initial=-1, axis=0) array([-1, 3]) >>> b = np.arange(5, dtype=float...

SciPy

docs.scipy.org › doc › numpy-1.13.0 › reference › generated › numpy.iinfo.html

numpy.iinfo — NumPy v1.13 Manual

The equivalent for floating point data types. ... >>> ii16 = np.iinfo(np.int16) >>> ii16.min -32768 >>> ii16.max 32767 >>> ii32 = np.iinfo(np.int32) >>> ii32.min -2147483648 >>> ii32.max 2147483647

NumPy

numpy.org › doc › 2.0 › reference › generated › numpy.max.html

numpy.max — NumPy v2.0 Manual

>>> a = np.arange(4).reshape((2,2)) >>> a array([[0, 1], [2, 3]]) >>> np.max(a) # Maximum of the flattened array 3 >>> np.max(a, axis=0) # Maxima along the first axis array([2, 3]) >>> np.max(a, axis=1) # Maxima along the second axis array([1, 3]) >>> np.max(a, where=[False, True], initial=-1, axis=0) array([-1, 3]) >>> b = np.arange(5, dtype=float) >>> b[2] = np.nan >>> np.max(b) np.float64(nan) >>> np.max(b, where=~np.isnan(b), initial=-1) 4.0 >>> np.nanmax(b) 4.0 ·

NumPy

numpy.org › doc › stable › reference › generated › numpy.iinfo.html

numpy.iinfo — NumPy v2.3 Manual

The equivalent for floating point data types. ... Try it in your browser! ... >>> import numpy as np >>> ii16 = np.iinfo(np.int16) >>> ii16.min -32768 >>> ii16.max 32767 >>> ii32 = np.iinfo(np.int32) >>> ii32.min -2147483648 >>> ii32.max 2147483647

University of Texas at Austin

het.as.utexas.edu › HET › Software › Numpy › reference › generated › numpy.finfo.html

numpy.finfo — NumPy v1.9 Manual

Machine limits for floating point types. ... The implementation of the tests that produce this information. ... The equivalent for integer data types. ... For developers of NumPy: do not instantiate this at the module level. The initial calculation of these parameters is expensive and negatively ...

Delft Stack

delftstack.com › home › howto › python › find max float value

How to Find Maximum Float Value in Python | Delft Stack

February 12, 2024 - There are mainly two ways to find the maximum value of float data type in Python. One is the use of sys.float_info that holds the information about the float data type in Python, and the next is to use the finfo() function of the numpy library to return machine limits of the floating-point numbers.