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falconer    音标拼音: [f'ælkənɚ]
n. 以鹰狩猎者,放鹰者,养鹰者

以鹰狩猎者,放鹰者,养鹰者

falconer
n 1: a person who breeds and trains hawks and who follows the
sport of falconry [synonym: {falconer}, {hawker}]

Falconer \Fal"con*er\, n. [OE. fauconer, OF. falconier,
fauconier, F. fauconnier. See {Falcon}.]
A person who breeds or trains hawks for taking birds or game;
one who follows the sport of fowling with hawks. --Johnson.
[1913 Webster]


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  • Data types — NumPy v2. 3 Manual
    NumPy numerical types are instances of numpy dtype (data-type) objects, each having unique characteristics Once you have imported NumPy using import numpy as np you can create arrays with a specified dtype using the scalar types in the numpy top-level API, e g numpy bool, numpy float32, etc
  • Boolean Array in NumPy - Python - GeeksforGeeks
    When creating a NumPy array, you can specify the dtype='bool' argument to directly convert the data type to Boolean This method is efficient because it processes the conversion during the array creation step, providing a clean and fast approach to generating a Boolean array from integers
  • A Deep Dive into `numpy. bool` — pythontutorials. net
    numpy bool is a data type in the NumPy library used to represent boolean values In Python, the built - in boolean data type has values True and False Similarly, numpy bool can hold these two logical states, but it is optimized for use within NumPy arrays
  • 5 Best Ways to Convert numpy. bool to bool in Python - Finxter
    The most straightforward way to convert a numpy bool to a Python boolean is to use the built-in bool() constructor It converts the given value to a native Python boolean (True or False), effectively handling numpy bool values as well as it does with other truthy or falsy values
  • Numpy Boolean Array - Easy Guide for Beginners - AskPython
    The Numpy boolean array is a type of array (collection of values) that can be used to represent logical ‘True’ or ‘False’ values stored in an array data structure in the Python programming language
  • How do I create a numpy array of all True or all False?
    Explanation: numpy creates arrays of all ones or all zeros very easily: e g numpy ones((2, 2)) or numpy zeros((2, 2)) Since True and False are represented in Python as 1 and 0, respectively, we have only to specify this array should be boolean using the optional dtype parameter and we are done:
  • Logic functions — NumPy v2. 3 Manual
    Test element-wise for negative infinity, return result as bool array Test element-wise for positive infinity, return result as bool array Returns a bool array, where True if input element is complex Check for a complex type or an array of complex numbers Check if the array is Fortran contiguous but not C contiguous
  • Understanding Boolean Arrays in NumPy | by why amit | Medium
    In simple terms, Boolean arrays are just arrays filled with True and False values These values are typically created when you apply logical conditions to a NumPy array
  • Python Boolean array in NumPy - CodeSpeedy
    This tutorial will help you to understand how to create boolean array in NumPy - Python Boolean Array using dtype='bool' and comparison





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