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  1. gairuo.com › p › pandas-squeezepandas squeeze() 数据挤压降维 | pandas 教程 - 盖若 - gairuo.com

    pandas squeeze() 方法顾名思义就是数据挤压、类型压缩，本质上是对数据进行降维。当您不知道对象是序列还是 DataFrame 时，但知道它只有一列时，此方法最有用，在这种情况下，您可以安全地调用 squeeze()，以确保其最终是一个 Series。

  2. blog.csdn.net › guihaiyuan123 › articlepytorch学习之---squeeze()和unsqueeze()函数功能及使用-CSDN博客

    15 de ago. de 2023 · 1.squeeze (1)和squeeze (-1)作用：. 两者的效果一样，都是给张量tensor降维，但不是啥张量都可以用这两个函数来降维，它只能降维一种情况下张量的维度。. 就是我的张量tensor是一个n*1维度的张量，例如：张量 [ [1], [2], [3]]是一个3*1维的，调用这两个函数后效果如图 ...

  3. www.geeksforgeeks.org › python-pandas-series-squeezePython | Pandas Series.squeeze() - GeeksforGeeks

    5 de feb. de 2019 · The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.squeeze() function squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are squeezed to a scalar. DataFrames with a single column or a single row are ...

  4. pytorch.org › docs › stabletorch.Tensor.squeeze — PyTorch 2.3 documentation

    Get Started. Run PyTorch locally or get started quickly with one of the supported cloud platforms. Tutorials. Whats new in PyTorch tutorials. Learn the Basics

  5. docs.scipy.org › doc › numpy-1numpy.squeeze — NumPy v1.9 Manual - SciPy.org

    18 de oct. de 2015 · The input array, but with all or a subset of the dimensions of length 1 removed. This is always a itself or a view into a.

  6. www.w3resource.com › pandas › dataframePandas DataFrame: squeeze() function - w3resource

    19 de ago. de 2022 · The squeeze () function is used to squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are squeezed to a scalar. DataFrames with a single column or a single row are squeezed to a Series. Otherwise the object is unchanged. Syntax: DataFrame.squeeze (self, axis=None)

  7. pypi.org › project › ssqueezepyssqueezepy · PyPI

    29 de mar. de 2024 · ssqueezepy was originally ported from MATLAB's Synchrosqueezing Toolbox, authored by E. Brevdo and G. Thakur [1]. Synchrosqueezed Wavelet Transform was introduced by I. Daubechies and S. Maes [2], which was followed-up in [3], and adapted to STFT in [4]. Many implementation details draw from [5]. Ridge extraction based on [6].