Run ❯ Get your own Python server Result Size: 785 x 1445 import numpy as np arr = np.array([1, 2, 3, 4, 5, 6, 7, 8]) newarr = arr.reshape(3, 3) print(newarr) Traceback (most recent call last): File "demo_numpy_array_reshape_error.py", line ...
from scipy import io import numpy as np arr = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9,]) #Export: io.savemat('arr.mat', {"vec": arr}) #Import: mydata = io.loadmat('arr.mat') print(mydata)...
NumPy全称为Numerical Python,是专门处理数组(array)的Python库。 调用numpy NumPy中的数组对象被称为ndarray(多维数组) 创建...
Run ❯ Get your own Python server Result Size: 785 x 1445 import numpy as np arr = np.array([1, 2, 3, 4, 5, 6, 7]) # Create an empty list filter_arr = [] # go through each element in arr for element in arr: # if the element is completely divisble ...
Exercise: NUMPY Search ArraysConsider the following code:import numpy as nparr = np.array([15, 38, 41, 46])x = np.where(arr%2 == 1)print(x)What will be the printed result? (array([1, 3]),) (array([15, 41]),) (array([0, 2]),) (array([38, 46]),) Submit Answer ...
import numpy as np from scipy.sparse import csr_matrix arr = np.array([0, 0, 0, 0, 0, 1, 1, 0, 2]) print(csr_matrix(arr)) x importnumpyasnp fromscipy.sparseimportcsr_matrix arr=np.array([0,0,0,0,0,1,1,0,2]) ...
ExampleGet your own Python Server Convert following array with repeated elements to a set: importnumpyasnp arr = np.array([1,1,1,2,3,4,5,5,6,7]) x = np.unique(arr) print(x) Try it Yourself » Finding Union To find the unique values of two arrays, use theunion1d()method. ...
ExampleGet your own Python Server Find log at base 2 of all elements of following array: import numpy as nparr = np.arange(1, 10)print(np.log2(arr)) Try it Yourself » Note: The arange(1, 10) function returns an array with integers starting from 1 (included) to 10 (not ...
ExampleGet your own Python Server Compute discrete difference of the following array: importnumpyasnp arr = np.array([10,15,25,5]) newarr = np.diff(arr) print(newarr) Try it Yourself » Returns:[5 10 -20]because 15-10=5, 25-15=10, and 5-25=-20 ...
Exercise: NUMPY Slicing ArraysConsider the following code:import numpy as nparr = np.array([1, 2, 3, 4, 5, 6, 7])print(arr[:2])What will be the printed result? [1] [1 2] [1 2 3] [3 4 5 6 7] Submit Answer »