An array of booleans is returned. >>> from numpy import * >>> a = array([3,6,8,9]) >>> a == 6 array([False, True, False, False], dtype=bool) >>> a >= 7 array([False, False, True, True], dtype=bool) >>> a < 5 array([ True, False, False, False], dtype=bool...
# Get the boolean output by applying the condition to each element. b = arr2 > 4 b #> array([[False, False, False, False], #> [False, False, True, True], #> [ True, True, True, True]], dtype=bool) arr2[b] #> array([ 5., 6., 5., 6., 7., 8.]) 四、数组的组...
# Create a boolean arrayarr2d_b=np.array([1,0,10],dtype='bool')arr2d_b#> array([ True, False, True], dtype=bool)# Create an object array to hold numbers as well as stringsarr1d_obj=np.array([1,'a'],dtype='object')arr1d_obj#> array([1, 'a'], dtype=object) 最后说明...
In: arange(7, dtype='f') Out: array([ 0., 1., 2., 3., 4., 5., 6.], dtype=float32) Likewise this creates an array of complex numbers In: arange(7, dtype='D') Out: array([ 0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j, 4.+0.j, 5.+0.j, 6.+0.j]) dtype构造器 ...
out– ndarray, optional] A location in which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly allocated array is returned. where– This parameter is optional. It is a boolean array that indicates where the result ...
In: m = array([arange(2), arange(2)])In: mOut:array([[0, 1],[0, 1]]) 要显示数组形状,请参见以下代码行: In: m.shapeOut: (2, 2) 我们使用arange()函数创建了一个2 x 2的数组。 没有任何警告,array()函数出现在舞台上。
原文:Learning NumPy Array 协议:CC BY-NC-SA 4.0 译者:飞龙 一、NumPy 入门 让我们开始吧。 我们将在不同的操作系统上安装 NumPy 和相关软件,并查看一些使用 NumPy 的简单代码。 正如“序言”所述,SciPy 与 NumPy 密切相关,因此您会在本
@type a, b: Boolean array @param band: The number of samples of tolerance @type band: float @param rising: Specify rising or falling edge @type rising: boolean Returns --- @return: Count of matching edges, total true rising (or falling) edges @rtype...
Reverse or permute the axes of an array; returns view of the array.swapaxes(a, axis1, axis2) # 共用存储 Interchange two axes of an array. # 扩维缩维 expand_dims(a, axis) # 共用存储 Expand the shape of an array. squeeze(a[, axis]) # 共用存储 ...
dec = dec[:-n_bits_padded]# view as boolean arraydec = dec.view(bool)# handle destinationreturnndarray_copy(dec, out) 开发者ID:zarr-developers,项目名称:numcodecs,代码行数:25,代码来源:packbits.py 示例3: lsb_deinterleave_bytes ▲点赞 6▼ ...