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NumPy Or copy paste the code, and click on the "Run" button in the toolbar """# The standard way to import NumPy:import numpy as np # Create a 2-D array, set every second element in# some rows and find max per row:x = np arange (15, dtype=np int64) reshape (3, 5) x [1:, ::2] =-99x # array ( [ [ 0, 1, 2, 3, 4],# [-99, 6, -99, 8, -99],# [-99, 11, -99
numpy. min — NumPy v2. 3 Manual >>> import numpy as np >>> a = np arange(4) reshape((2,2)) >>> a array([[0, 1], [2, 3]]) >>> np min(a) # Minimum of the flattened array 0 >>> np min(a, axis=0) # Minima along the first axis array([0, 1]) >>> np min(a, axis=1) # Minima along the second axis array([0, 2]) >>> np min(a, where=[False, True], initial=10, axis=0) array([10, 1])
NumPy documentation — NumPy v2. 3 Manual Version: 2 3 Download documentation: Historical versions of documentation Useful links: Installation | Source Repository | Issue Tracker | Q A Support | Mailing List NumPy is the fundamental package for scientific computing in Python It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines
numpy. block — NumPy v2. 3 Manual This is primarily useful for working with scalars, and means that code like np block([v, 1]) is valid, where v ndim == 1 When the nested list is two levels deep, this allows block matrices to be constructed from their components