indices=np.where(fractions==0)#4\.Find the first occurrenceofa0fraction a=np.ravel(np.take(a,indices))[0]# Or a=a[indices][0]a=int(a)b=np.sqrt(a**2-n)b
np.max np.nanmax Find maximum value np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements np.any N/A Evaluate whether ...
https://thispointer.com/find-the-index-of-a-value-in-numpy-array/ 主要就是用np.where np.where When only condition is provided, this function is a shorthand for np.asarray(condition).nonzero(). 当只有condition的时候等价于np.nonzero(condition) #判断两个ndarray是否近似is_same = np.isclose(...
np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements np.any N/A Evaluate whether any elements are true np.all N/A E...
导入numpy库:在代码中导入numpy库,以便使用其中的函数和方法。 代码语言:txt 复制 import numpy as np 创建数组:使用numpy库的array函数创建一个数组。 代码语言:txt 复制 arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) 定义部分:确定要查找平均值的数组部分的起始索引和结束索引。
np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements np.any N/A Evaluate whether any elements are true np.all N/A Evaluate whether all elements are true ...
The example above will return a tuple: (array([3, 5, 6],)Which means that the value 4 is present at index 3, 5, and 6.Example Find the indexes where the values are even: import numpy as nparr = np.array([1, 2, 3, 4, 5, 6, 7, 8]) x = np.where(arr%2 == 0)print...
# There is no direct function to do this as of 1.13.3 # Create an all True array out = np.full(a.shape[0], True) # Find the index positions of unique elements unique_positions = np.unique(a, return_index=True)[1] # Mark those positions as False ...
Similarly, the second non-zero element is 3, which is in index [0, 2] in row-column format, and so on. Example 3: numpy.argwhere() With Condition We can also use argwhere() to find the indices of elements that satisfy the given condition. import numpy as np array = np.array([1...
Consider a set of 10 triplets describing 10 triangles (with shared vertices), find the set of unique line segments composing all the triangles (★★★)(提示: repeat, np.roll, np.sort, view, np.unique) faces = np.random.randint(0,100,(10,3)) F = np.roll(faces.repeat(2,axis=1),...