>>> 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

>>> 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

... The min is the minimum value of given dtype and max is the minimum value of given dtype. ... a = np.iinfo(np.int16) print("Minimum of int16 type...\n",a.min) print("Maximum of int16 type...\n",a.max)

>>> np.iinfo(int) # Bounds of the default integer on this system. iinfo(min=-9223372036854775808, max=9223372036854775807, dtype=int64) >>> np.iinfo(np.int32) # Bounds of a 32-bit integer iinfo(min=-2147483648, max=2147483647, dtype=int32) >>> np.iinfo(np.int64) # Bounds of a 64-bit integer ...

See also · finfo · The equivalent for floating point data types. Examples · Try it in your browser! With types: >>> 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 ·

March 1, 2023 - I have learned that all datatypes of the NumPy library have their minimum and maximum values. Understanding the minimum and maximum values of a NumPy data type is useful because it can help prevent overflow or underflow …

The standard NumPy data types are listed in the following table. Note that when constructing an array, they can be specified using a string: np.zeros(10, dtype='int16') Or using the associated NumPy object: np.zeros(10, dtype=np.int16) More advanced type specification is possible, such as specifying big or little endian numbers; for more information, refer to the NumPy documentation.

>>> np.iinfo(int) # Bounds of the default integer on this system. iinfo(min=-9223372036854775808, max=9223372036854775807, dtype=int64) >>> np.iinfo(np.int32) # Bounds of a 32-bit integer iinfo(min=-2147483648, max=2147483647, dtype=int32) >>> np.iinfo(np.int64) # Bounds of a 64-bit integer ...

October 9, 2023 - # Import numpy import numpy as np # Maximum allowed value max = np.iinfo(np.int16).max # Minimum allowed value min = np.iinfo(np.int16).min # Display result print("Max:\n",max,"\n") print("Min:\n",min,"\n")

January 31, 2021 - >>> np.iinfo(int) # Bounds of the default integer on this system. iinfo(min=-9223372036854775808, max=9223372036854775807, dtype=int64) >>> np.iinfo(np.int32) # Bounds of a 32-bit integer iinfo(min=-2147483648, max=2147483647, dtype=int32) >>> np.iinfo(np.int64) # Bounds of a 64-bit integer ...

class numpy.iinfo(type)[source]¶ · Machine limits for integer types. See also · finfo · The equivalent for floating point data types. Examples · With types: >>> ii16 = np.iinfo(np.int16) >>> ii16.min -32768 >>> ii16.max 32767 >>> ii32 = np.iinfo(np.int32) >>> ii32.min -2147483648 >>> ii32.max ...

August 19, 2022 - >>> 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 · Example: numpy.iinfo() function · >>> import numpy as np >>> ii32 ...

>>> 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

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Return the maximum of an array or maximum along an axis · Axis or axes along which to operate. By default, flattened input is used. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before

>>> np.iinfo(int) # Bounds of the default integer on this system. iinfo(min=-9223372036854775808, max=9223372036854775807, dtype=int64) >>> np.iinfo(np.int32) # Bounds of a 32-bit integer iinfo(min=-2147483648, max=2147483647, dtype=int32) >>> np.iinfo(np.int64) # Bounds of a 64-bit integer ...

February 24, 2022 - import numpy as np · The min is the minimum value of given dtype and max is the minimum value of given dtype. Checking for int16 type with instances − · a = np.iinfo(np.int16(20)) print("Minimum of int16 type...\n",a.min) print("Maximum of int16 type...\n",a.max) Checking for int32 type ...

class numpy.iinfo(type)[source]¶ · Machine limits for integer types. See also · finfo · The equivalent for floating point data types. Examples · With types: >>> ii16 = np.iinfo(np.int16) >>> ii16.min -32768 >>> ii16.max 32767 >>> ii32 = np.iinfo(np.int32) >>> ii32.min -2147483648 >>> ii32.max ...

>>> np.iinfo(int) # Bounds of the default integer on this system. iinfo(min=-9223372036854775808, max=9223372036854775807, dtype=int64) >>> np.iinfo(np.int32) # Bounds of a 32-bit integer iinfo(min=-2147483648, max=2147483647, dtype=int32) >>> np.iinfo(np.int64) # Bounds of a 64-bit integer ...