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• numpy.all

  ...NumPy reference Routines and objects by topic Logic functions numpy.all...

• numpy.allclose

  ...NumPy reference Routines and objects by topic Logic functions numpy.allclose...

• numpy.all (Python function, in numpy.all)
• numpy.char.chararray.all (Python method, in numpy.char.chararray.all)
• numpy.ma.all (Python data, in numpy.ma.all)
• numpy.ma.masked_array.all (Python method, in numpy.ma.masked_array.all)
• numpy.ma.MaskedArray.all (Python method, in numpy.ma.MaskedArray.all)
• numpy.ma.MaskType.all (Python method, in numpy.ma.MaskType.all)
• numpy.matrix.all (Python method, in numpy.matrix.all)
• numpy.memmap.all (Python method, in numpy.memmap.all)
• numpy.ndarray.all (Python method, in numpy.ndarray.all)
• numpy.recarray.all (Python method, in numpy.recarray.all)
• numpy.record.all (Python method, in numpy.record.all)
• numpy.distutils user guide
• numpy.polynomial
• Array creation

  ...ts will create a 2D array, further nested lists will create higher-dimensional arrays. In general, any array object is called an ndarray in NumPy. >>> import numpy as np >>> a1D = np.array([1, 2, 3, 4]) >>> a2D = np.array([[1, 2], [3, 4]])...

• Array iterator API
• Beyond the basics
• Building from source
• Building the NumPy API and reference docs
• Constants of the numpy.ma module
• Contributing to NumPy
• CPU build options
• Data type promotion in NumPy
• Data types
• For downstream package authors
• How to contribute to the NumPy documentation
• How to extend NumPy