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numpy.divide() in Python

Last Updated :29 Nov, 2018

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numpy.divide(arr1, arr2, out = None, where = True, casting = 'same_kind', order = 'K', dtype = None) :Array element from first array is divided by elements from second element (all happens element-wise). Both arr1 and arr2 must have same shape and element in arr2 must not be zero; otherwise it will raise an error.Parameters :

arr1 :[array_like]Input array or object which works as dividend.arr2 :[array_like]Input array or object which works as divisor.out :[ndarray, optional]Output array with same dimensions as Input array, placed with result.**kwargs :allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.where :[array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

An array witharr1/arr2(element-wise) as elements of output array.

Code 1 : arr1 divide by arr2 elements

# Python program explaining# divide() functionimportnumpyasnp# input_arrayarr1=[2,27,2,21,23]arr2=[2,3,4,5,6]print("arr1         : ",arr1)print("arr2         : ",arr2)# output_arrayout=np.divide(arr1,arr2)print("\nOutput array :\n",out)

arr1         :  [2, 27, 2, 21, 23]arr2         :  [2, 3, 4, 5, 6]Output array :  [ 1.          9.          0.5         4.2         3.83333333]

Code 2 : elements of arr1 divided by divisor

# Python program explaining# divide() functionimportnumpyasnp# input_arrayarr1=[2,27,2,21,23]divisor=3print("arr1         : ",arr1)# output_arrayout=np.divide(arr1,divisor)print("\nOutput array :\n",out)

arr1         :  [2, 27, 2, 21, 23]Output array :  [ 0.66666667  9.          0.66666667  7.          7.66666667]

Code 3 : warning if arr2 has element = 0

# Python program explaining# divide() functionimportnumpyasnp# input_arrayarr1=[2,27,2,21,23]arr2=[2,3,0,5,6]print("arr1         : ",arr1)print("arr2         : ",arr2)# output_arrayout=np.divide(arr1,arr2)print("\nOutput array : ",out)

arr1         :  [2, 27, 2, 21, 23]arr2         :  [2, 3, 0, 5, 6]Output array :  [ 1.          9.                 inf  4.2         3.83333333]RuntimeWarning: divide by zero encountered in true_divide  out = np.power(arr1, arr2)

References :https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.divide.html.

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How to compute the eigenvalues and right eigenvectors of a given square array using NumPY?

In this article, we will discuss how to compute the eigenvalues and right eigenvectors of a given square array using NumPy library.Â Example: Suppose we have a matrix as:Â [[1,2], [2,3]]Â Eigenvalue we get from this matrix or square array is:Â [-0.23606798 4.23606798] Eigenvectors of this matrix are

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