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                [TOC] # 生成指定范圍,步長,類型數組 ~~~ import numpy as np # 生成2到20的數組,包左不包右 print(np.arange(2, 20)) # 生成3到15的數組,包左不包右,步長為2,類型為float,32位 print(np.arange(3, 15, 2, dtype=np.float32)) ~~~ 輸出 ~~~ [ 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19] [ 3. 5. 7. 9. 11. 13.] ~~~ # 生成等差數組 0到10之間10個等差數組,既包含頭也包含尾 ~~~ import numpy as np print(np.linspace(0, 10, 10)) ~~~ 輸出 ~~~ [ 0. 1.11111111 2.22222222 3.33333333 4.44444444 5.55555556 6.66666667 7.77777778 8.88888889 10. ] ~~~ # 生成網格 ~~~ import numpy as np x = np.linspace(-10, 10, 5) y = np.linspace(-10, 10, 5) # 構造一個網格,x就是第一維,y就是第二維,這個網格是2維的 x, y = np.meshgrid(x, y) print(x) print(y) ~~~ 輸出 ~~~ [[-10. -5. 0. 5. 10.] [-10. -5. 0. 5. 10.] [-10. -5. 0. 5. 10.] [-10. -5. 0. 5. 10.] [-10. -5. 0. 5. 10.]] [[-10. -10. -10. -10. -10.] [ -5. -5. -5. -5. -5.] [ 0. 0. 0. 0. 0.] [ 5. 5. 5. 5. 5.] [ 10. 10. 10. 10. 10.]] ~~~ ![](https://box.kancloud.cn/a6f82fe6ff382967abaee8c88f2af653_574x358.png) # 以10為底生成數組 `x/10` ~~~ import numpy as np # 默認10位底的,生成5個 print(np.logspace(0, 1, 5)) ~~~ 輸出 ~~~ [ 1. 3.16227766 10. 31.6227766 100. ] ~~~ # 構造向量 ~~~ import numpy as np # 構造橫向量0-10,不包含10,1為步長 print(np.r_[0:10:1]) # 構造列向量0-10,不包含10,1為步長 print(np.c_[0:10:1]) ~~~ 輸出 ~~~ [0 1 2 3 4 5 6 7 8 9] [[0] [1] [2] [3] [4] [5] [6] [7] [8] [9]] ~~~ # 構造都是0,或者都是1的矩陣 ~~~ import numpy as np # 生成1維矩陣,3個0 print(np.zeros(3)) # 生成2維矩陣,3*3 print(np.zeros((3, 3))) # 生成2維矩陣,3*3,值為1,類型是float print(np.ones((3, 3), dtype=np.float32)) ~~~ 輸出 ~~~ [ 0. 0. 0.] [[ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.]] [[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]] ~~~ 如果我們要生成里面全是8的呢 ~~~ import numpy as np # 生成2維矩陣,3*3 print(np.ones((3, 3)) * 8) ~~~ 輸出 ~~~ [[ 8. 8. 8.] [ 8. 8. 8.] [ 8. 8. 8.]] ~~~ 復制其他數組的維度,值填充為0或1 ~~~ import numpy as np tang_array = np.array([1, 2, 3, 4]) # 復制維度值填充為0或1 print(np.zeros_like(tang_array)) print(np.ones_like(tang_array)) ~~~ 輸出 ~~~ [0 0 0 0] [1 1 1 1] ~~~ # 構造單位矩陣 它是個方陣,從左上角到右下角的對角線(稱為主對角線)上的元素均為1。除此以外全都為0。 指定是橫縱是多少個 ~~~ import numpy as np print(np.identity(6)) ~~~ 輸出 ~~~ [[ 1. 0. 0. 0. 0. 0.] [ 0. 1. 0. 0. 0. 0.] [ 0. 0. 1. 0. 0. 0.] [ 0. 0. 0. 1. 0. 0.] [ 0. 0. 0. 0. 1. 0.] [ 0. 0. 0. 0. 0. 1.]] ~~~
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