Python 将1d NumPy中的值分配到类中
如果我有一个一维数组:Python 将1d NumPy中的值分配到类中,python,numpy,Python,Numpy,如果我有一个一维数组: arr = np.array([ 5.243618, 5.219185, 4.755633, 5.685147, 5.2342 , 6.06918 , 5.324837, 4.857919, 5.768971, 4.310884, 4.442189, 4.883281, 4.591852, 5.8325 , 5.865175, 5.642187, 5.941979, 6.30038 , 6.
arr = np.array([ 5.243618, 5.219185, 4.755633, 5.685147, 5.2342 , 6.06918 ,
5.324837, 4.857919, 5.768971, 4.310884, 4.442189, 4.883281,
4.591852, 5.8325 , 5.865175, 5.642187, 5.941979, 6.30038 ,
6.475276, 4.598086, 5.822819, 5.938378, 6.271719, 5.465492,
4.230573, 4.331199, 4.912246, 4.878696, 5.393229, 4.857071,
4.95928 , 4.83672 , 5.530075, 4.233449, 5.591468, 4.546228,
4.710242, 4.880406, 4.279519, 4.461141, 6.168588, 6.074305,
5.720245, 6.127273, 5.79335 , 6.176584, 5.04695 , 5.80022 ,
5.899088, 5.925466, 5.095225, 6.33216 , 6.335905, 3.918357,
4.703728, 4.605504, 5.216878, 6.144148, 4.883721, 5.601009,])
以及包含上界的列表:
bins = [4.9122459999999997, 5.3932289999999998, 5.7202450000000002, 6.0743049999999998, 6.475276]
我想返回一个与arr
大小相等的数组,其中包含每个值的仓位号(1、1、0、2、1、3、1
等)
我已经尝试了
np.split()
np.digitize(arr, bins)
输出包含每个数据点所属的bin。请参见此处的文档:是!这正是我想要的。