numpy.select — NumPy v2.1 Manual
numpy.select — NumPy v2.1 Manual
Return an array drawn from elements in choicelist, depending on conditions ... condlist ... list of bool ndarrays ... choicelist ... list of ndarrays ... default ... scalar ...
NumPy documentation — NumPy v2.1 Manual
... selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more. Getting started. New to NumPy?
numpy.extract — NumPy v2.1 Manual
numpy.extract# ... Return the elements of an array that satisfy some condition. This is equivalent to np.compress(ravel(condition), ravel(arr)) . If condition is ...
numpy.greater — NumPy v2.1 Manual
numpy.greater# ... Return the truth value of (x1 > x2) element-wise. Parameters: x1, x2array_like ... wherearray_like, optional ... outndarray or scalar ... The > ...
numpy.isin — NumPy v2.1 Manual
If None, will automatically choose 'table' if the required memory allocation is less than or equal to 6 times the sum of the sizes of element and test_elements, ...
numpy.choose — NumPy v2.1 Manual
numpy.choose# ... Construct an array from an index array and a list of arrays to choose from. First of all, if confused or uncertain, definitely look at the ...
numpy.matrix — NumPy v2.1 Manual
Return an array whose values are limited to [min, max] . compress (condition[, axis, out]). Return selected slices of this array along given axis.
the absolute basics for beginners — NumPy v2.1 Manual
... select values from your array that fulfill certain conditions, it's straightforward with NumPy. For example, if you start with this array: >>> a = np.array ...
The N-dimensional array (ndarray) — NumPy v2.1 Manual
An ndarray is a (usually fixed-size) multidimensional container of items of the same type and size. The number of dimensions and items in an array is defined by ...
However, np.index_exp[indices] can be used anywhere in Python code and returns a tuple of slice objects that can be used in the construction of complex index ...
numpy.where — NumPy v2.1 Manual
An array with elements from x where condition is True, and elements from y elsewhere. See also. choose · nonzero. The function that is called when x ...
numpy.intersect1d — NumPy v2.1 Manual
numpy.intersect1d# ... Find the intersection of two arrays. Return the sorted, unique values that are in both of the input arrays. ... If True, the indices which ...
numpy.prod — NumPy v2.1 Manual
prod(a, axis=0) array([3., 8.]) Or select specific elements to include: >> ...
NumPy v2.1 Manual - Home · User Guide · API reference ... choose for full documentation. See also. numpy.choose. equivalent function.
1.4.1. The NumPy array object — Scipy lecture notes
Manual construction of arrays¶ ; a. array([0, 1, 2, 3]) · a ; ndim. 1 · a ; shape. (4,) · len ...
numpy.any# ... Test whether any array element along a given axis evaluates to True. ... Axis or axes along which a logical OR reduction is performed. The default ( ...
NumPy: Get and set values in an array using various indexing
shape) # () print(type(a_2d[1, 2])) #
NumPy from Python. 12. Page 13. Chapter 1. Origins of NumPy. NumPy ... lection, but X[[1,2,slice(None)]] will trigger basic selection. 3.4 ...
numpy 2.1.3. pip install numpy. Copy PIP instructions. Latest version. Released: Nov 2, 2024. Fundamental package for array computing in Python. Navigation.
Translates slice objects to concatenation along the first axis. This is a simple way to build up arrays quickly. There are two use cases. If the index ...