numpy find maximum value in 2d array

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numpy find maximum value in 2d array

, Max of max numbers ( map(max, numbers) yields 1, 2, 2, 3, 4): >>> numbers = [0, 0, 1, 0, 0, 1], [0, 1, 0, 2, 0, 0], [0, 0, 2, 0, 0, 1], [0, 1, 0, 3, 0, 0], [0, ..., Refer to this answer which also elaborates how to find the max value and its index, you can use argmax() >>> a = array([[10,50,30],[60,20,40]]) ...,The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ... ,The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ... ,The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ... ,The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ... ,Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : ... ,Element-wise maximum of two arrays, ignores NaNs. amax: The maximum value of an array along a given axis, propagates NaNs. nanmax: The maximum ...

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numpy find maximum value in 2d array 相關參考資料
Find max value & its index in Numpy Array | numpy.amax ...

https://thispointer.com

Finding the Max value in a two dimensional Array - Stack ...

Max of max numbers ( map(max, numbers) yields 1, 2, 2, 3, 4): >>> numbers = [0, 0, 1, 0, 0, 1], [0, 1, 0, 2, 0, 0], [0, 0, 2, 0, 0, 1], [0, 1, 0, 3, 0, 0], [0, ...

https://stackoverflow.com

How to find max value in 2D array with index - Stack Overflow

Refer to this answer which also elaborates how to find the max value and its index, you can use argmax() >>> a = array([[10,50,30],[60,20,40]]) ...

https://stackoverflow.com

numpy.amax — NumPy v1.13 Manual - Numpy and Scipy

The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ...

https://docs.scipy.org

numpy.amax — NumPy v1.14 Manual - Numpy and Scipy

The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ...

https://docs.scipy.org

numpy.amax — NumPy v1.15 Manual - Numpy and Scipy

The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ...

https://docs.scipy.org

numpy.amax — NumPy v1.17 Manual - Numpy and Scipy

The maximum value of an array along a given axis, ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax: Element- ...

https://docs.scipy.org

numpy.argmax — NumPy v1.17 Manual - Numpy and Scipy

Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : ...

https://docs.scipy.org

numpy.maximum — NumPy v1.17 Manual - Numpy and Scipy

Element-wise maximum of two arrays, ignores NaNs. amax: The maximum value of an array along a given axis, propagates NaNs. nanmax: The maximum ...

https://docs.scipy.org