a=np.array([7,8,9,5,2,1,5,6,1])print(np.where(a==1)[0][0]) Output: 5 Use thenonzero()Function to Find the First Index of an Element in a NumPy Array Thenonzero()function returns the indices of all the non-zero elements in a numpy array. It returns tuples of multiple ...
np.where(nums == 0)[0]: The np.where() function returns a tuple, but we are only interested in the first element of that tuple (the array of indices). To extract the first element, we use the index [0]. Store the array of indices to the variable 'result'. print(result): Print...
How to make a 2d NumPy array a 3d array? How to get the determinant of a matrix using NumPy? How to get the element-wise mean of a NumPy ndarray? How to count values in a certain range in a NumPy array? Elementwise multiplication of a scipy.sparse matrix by a broadcasted dense 1d...
To find the index of the maximum element in an array, we usethenumpy.argmax()function. This function works with a list and can return the index of the maximum element. Example: importnumpyasnp lst=[1,4,8,9,-1]i=np.argmax(lst)print(i) ...
Theindex()method is used to find the first lowest index of the element, i.e. in case of duplicate elements it will return the first element’s index as shown in the example given below. Example: # A list of fruits lst =["Apple","Mango","Banana","Mango","Cherry"] ...
A memory-efficient approach is to find the row indexes of several values in a NumPy array, simply convert each row as linear index equivalents and then check if each element of an array is present in another by using the combination of np.in1d() and np.where() methods....
a = np.array([1, 3, 7, 9, 10, 13, 14, 17, 29]): It creates a 1-dimensional NumPy array a with the given elements. np.logical_and(a>=7, a<=20): This line of code creates a boolean array of the same shape as a. It applies two element-wise conditions, checking whether ...
The array is : ['AAAabbbbbxcccccyyysss', 'AAAAAAAaattttds', 'AAaaxcutt', 'AAaaxXDSDdscz'] The find of 'xc' [ 9 -1 4 -1] The find of 'xc' [ 9 -1 -1 -1] Summary In this tutorial, we learned aboutfind()function of the Numpy Library along with a few code examples. If...
之前写过一篇python 列表寻找满足某个条件的开始索引和结束索引(python find the starting and ending indices of values that satisfy a certain condition in a list)的文章,因在实际项目中,这个算法的执行速度慢,于是我想使用 python 执行效果高的 numpy 来实现相同的功能,于是就研究了一会,出了一版本效果和上面...
Python’s built-inbisectmodule is an alternative to the binary search algorithm. It finds the index of where the target element should be inserted to maintain the sorted order. If the target is already present in the input list, it returns the index of the leftmost occurrence of the target...