numpy filter by index
The command numpy.where will return the indices of an array after you've applied ... filter() , and reduce() , which allow functional-style list processing in Python. ,pt = (2, 2) distance = 1 mask = (indices[0] - pt[0]) ** 2 + (indices[1] - pt[1]) ** 2 <= distance ** 2 result = my_array[mask]. , ummmm Its hard to tell whats being asked (thats quite the wall of text) filter_indices = [1,3,5] print numpy.array([11,13,155,22,0xff,32,56 ..., Array indexing refers to any use of the square brackets ([]) to index array values. There are many options to indexing, which give numpy ...,Parameters: a : array_like. Input data. Returns: index_array : ndarray. Indices of elements that are non-zero. Indices are grouped by element. ,a : array_like. The source array. indices : array_like. The indices of the values to extract. New in version 1.8.0. Also allow scalars for indices. axis : int, optional. , Explained without fancy indexing, this is equivalent to the following use of ndindex , which sets each of ii , jj , and kk to a tuple of indices:.,A call such as np.take(arr, indices, axis=3) is equivalent to arr[:,:,:,indices,...] . Explained without fancy indexing, this is equivalent to the following use of ndindex ... ,... x where condition is True, and elements from y elsewhere. If only condition is given, return the tuple condition.nonzero() , the indices where condition is True. ,numpy. where (condition[, x, y])¶. Return elements chosen from x or y depending on condition. Note. When only condition is ... Next topic. numpy.indices ...
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 numpy filter by index 相關參考資料
Filter an array in Python3 Numpy and return indices - Stack Overflow
The command numpy.where will return the indices of an array after you've applied ... filter() , and reduce() , which allow functional-style list processing in Python. https://stackoverflow.com How to filter a numpy array based on indices? - Stack Overflow
pt = (2, 2) distance = 1 mask = (indices[0] - pt[0]) ** 2 + (indices[1] - pt[1]) ** 2 <= distance ** 2 result = my_array[mask]. https://stackoverflow.com How to filter numpy array by list of indices? - Stack Overflow
ummmm Its hard to tell whats being asked (thats quite the wall of text) filter_indices = [1,3,5] print numpy.array([11,13,155,22,0xff,32,56 ... https://stackoverflow.com Indexing — NumPy v1.13 Manual
Array indexing refers to any use of the square brackets ([]) to index array values. There are many options to indexing, which give numpy ... https://docs.scipy.org numpy.argwhere — NumPy v1.13 Manual
Parameters: a : array_like. Input data. Returns: index_array : ndarray. Indices of elements that are non-zero. Indices are grouped by element. https://docs.scipy.org numpy.take — NumPy v1.13 Manual - Numpy and Scipy Documentation
a : array_like. The source array. indices : array_like. The indices of the values to extract. New in version 1.8.0. Also allow scalars for indices. axis : int, optional. https://docs.scipy.org numpy.take — NumPy v1.14 Manual - Numpy and Scipy Documentation
Explained without fancy indexing, this is equivalent to the following use of ndindex , which sets each of ii , jj , and kk to a tuple of indices:. https://docs.scipy.org numpy.take — NumPy v1.15 Manual - Numpy and Scipy Documentation
A call such as np.take(arr, indices, axis=3) is equivalent to arr[:,:,:,indices,...] . Explained without fancy indexing, this is equivalent to the following use of ndindex ... https://docs.scipy.org numpy.where — NumPy v1.13 Manual
... x where condition is True, and elements from y elsewhere. If only condition is given, return the tuple condition.nonzero() , the indices where condition is True. https://docs.scipy.org numpy.where — NumPy v1.16 Manual
numpy. where (condition[, x, y])¶. Return elements chosen from x or y depending on condition. Note. When only condition is ... Next topic. numpy.indices ... https://docs.scipy.org |