# Find the length of the array and store it in n n = len(arr) findIndexOfMaxElement(arr, n) 现在,我们在 Python 中编译上述代码,编译成功后运行它。输出结果如下 5 is the element with maximum frequency, which is present at index: 11 结论...
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) ...
创建NumPy 数组非常简单,通过np.array()函数即可将 Python 列表转换为 NumPy 数组。例如: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importnumpyasnp # 将列表转换为一维数组 arr1=np.array([1,2,3,4,5])print(arr1) 还可以创建多维数组,只需在np.array()中传入嵌套的列表: 代码语言:javascript...
如何从numpy数组中获取最大或最小的n个元素？（最好不扁平化）想要找到数组中最大或最小值的位置，...
方法2:通过index,max函数获取 deffind_max_index(lst):max_value=max(lst)# 找到列表中的最大值max_index=lst.index(max_value)# 找到最大值的索引returnmax_index# 示例my_list=[3,1,4,1,5,9,2]index_of_max=find_max_index(my_list)print(f"最大值的索引是:{index_of_max}") ...
If we find an index where the element is greater than the element at indexmax_index, we will assign the current index to the variablemax_index. After iteration of the entire list, we will get the index of the maximum element in the variablemax_index. ...
``` # Python script to download images in bulk from a website import requests def download_images(url, save_directory): response = requests.get(url) if response.status_code == 200: images = response.json() # Assuming the API returns a JSON array of image URLs for index, image_url in...
defFindRefs(array):Height,Width=array.shapeplumx=[]plumy=[]lum=[]w=int(Width/8)h=int(Height/8)forninrange(0,8):# recorrerboxesx0=n*wx1=(n+1)*wforminrange(0,8):y0=m*hy1=(m+1)*hsubflatind=a[y0:y1,x0:x1].argmax()# flatten index ofboxy,x=np.unravel_index(subflatind,...
方法一:np.max()函数 + np.where()函数 如下图所示,x是一个 3×3 的二维np.array,首先使用np.max(x)求出x中的最大值,然后使用np.where函数找出数组x中最大值所在的位置。当然这只是np.where的其中一种用法,np.where是一个非常方便的函数,用法还有很多,具体可自行阅读官方文档。
Example 2: Max & Min of Columns in NumPy ArrayExample 2 shows how to find the max and min values of a NumPy array by columns.For this task, we have to set the axis argument to be equal to 0:print(np.max(my_array, axis = 0)) # Get max of array columns # [4 5 6]...