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Reshape    音标拼音: [riʃ'ep]
v. 整形
vt. 改造,使成新的形状,打开新局面

整形改造,使成新的形状,打开新局面

reshape
v 1: shape anew or differently; "The new foreign minister
reshaped the foreign policy of his country"
2: shape again or shape differently [synonym: {reshape}, {remold}]

Reshape \Re*shape"\ (r?-sh?p"), v. t.
To shape again.
[1913 Webster]


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英文字典中文字典相关资料:


  • numpy. reshape — NumPy v2. 3 Manual
    Array to be reshaped The new shape should be compatible with the original shape If an integer, then the result will be a 1-D array of that length One shape dimension can be -1 In this case, the value is inferred from the length of the array and remaining dimensions
  • Reshape an Array in Python Using the NumPy Library
    In this article, I’ll cover several simple ways you can use to reshape arrays in Python using NumPy So let’s dive in! When working with data in Python, we often need to change the structure of our arrays to make them compatible with various algorithms or to better visualize patterns in our data
  • NumPy – A detailed guide to ndarray. reshape () method (4 examples)
    This tutorial delves into the reshape () method, demonstrating its versatility through four progressively advanced examples By the end of this article, you’ll have a comprehensive understanding of reshaping arrays in NumPy and how to apply this knowledge in various scenarios
  • NumPy Array Reshaping - W3Schools
    By reshaping we can add or remove dimensions or change number of elements in each dimension Convert the following 1-D array with 12 elements into a 2-D array The outermost dimension will have 4 arrays, each with 3 elements: Convert the following 1-D array with 12 elements into a 3-D array
  • Using NumPy reshape () to Change the Shape of an Array
    In this tutorial, you'll learn how to use NumPy reshape () to rearrange the data in an array You'll learn to increase and decrease the number of dimensions and to configure the data in the new array to suit your requirements
  • NumPy reshape () - DataCamp
    Learn how to use NumPy reshape to efficiently manipulate array dimensions This guide provides clear, step-by-step instructions for modifying data structures in Python using NumPy





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