python array row max
If axis=1 then it returns an array containing max value for each row. Let's look in detail, ... Get the indices of maximum element in numpy array., Here's the numpy idiom for doing the same thing: b[np.arange(len(a)), np.argmax(a, axis=1)]. For example: >>> a = np.array([ [1, 2, 0], [2, 1, 0], ...,np.argmax just returns the index of the (first) largest element in the flattened array. So if you know the shape of your array (which you do), you can easily find the ... ,numpy. amax (a, axis=None, out=None, keepdims=<class numpy._globals._NoValue>)[source]¶. Return the maximum of an array or maximum along an axis. ... value of an array along a given axis, ignoring any NaNs. maximum: Element-wise ... ,numpy. amax (a, axis=None, out=None, keepdims=<class 'numpy._globals._NoValue'>)[source]¶. Return the maximum of an array or maximum along an axis. ... of an array along a given axis, ignoring any NaNs. maximum: Element-wise ... ,numpy. amax (a, axis=None, out=None, keepdims=<no value>, initial=<no value>)[source]¶. Return the maximum of an array or maximum along an axis. ... of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum ... ,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... ,This is the same as ndarray.max , but returns a matrix object where ... x = np.matrix(np.arange(12).reshape((3,4))); x matrix([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) ...
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 python array row max 相關參考資料
Find max value & its index in Numpy Array | numpy.amax ...
If axis=1 then it returns an array containing max value for each row. Let's look in detail, ... Get the indices of maximum element in numpy array. https://thispointer.com Find maximum of each row in a numpy array and the corresponding ...
Here's the numpy idiom for doing the same thing: b[np.arange(len(a)), np.argmax(a, axis=1)]. For example: >>> a = np.array([ [1, 2, 0], [2, 1, 0], ... https://stackoverflow.com find row or column containing maximum value in numpy array - Stack ...
np.argmax just returns the index of the (first) largest element in the flattened array. So if you know the shape of your array (which you do), you can easily find the ... https://stackoverflow.com numpy.amax — NumPy v1.13 Manual
numpy. amax (a, axis=None, out=None, keepdims=<class numpy._globals._NoValue>)[source]¶. Return the maximum of an array or maximum along an axis. ... value of an array along a given axis, ignori... https://docs.scipy.org numpy.amax — NumPy v1.14 Manual
numpy. amax (a, axis=None, out=None, keepdims=<class 'numpy._globals._NoValue'>)[source]¶. Return the maximum of an array or maximum along an axis. ... of an array along a given axis, ig... https://docs.scipy.org numpy.amax — NumPy v1.16 Manual
numpy. amax (a, axis=None, out=None, keepdims=<no value>, initial=<no value>)[source]¶. Return the maximum of an array or maximum along an axis. ... of an array along a given axis, ignorin... https://docs.scipy.org numpy.argmax — NumPy v1.13 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.14 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.16 Manual
Returns the indices of the maximum values along an axis. ... 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... https://docs.scipy.org numpy.matrix.max — NumPy v1.16 Manual
This is the same as ndarray.max , but returns a matrix object where ... x = np.matrix(np.arange(12).reshape((3,4))); x matrix([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) ... https://docs.scipy.org |