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Author: mr-pylin

codes/01_array-basics.ipynb

@@ -93,7 +93,7 @@
  }
  ],
  "source": [
- "arr_0d_2 = np.array(.1)\n",
+ "arr_0d_2 = np.array(0.1)\n",
  "\n",
  "# log\n",
  "print(f\"arr_0d_2 : {arr_0d_2}\")\n",
@@ -196,10 +196,10 @@
  }
  ],
  "source": [
- "arr_2d_1 = np.array([[0.000e+0, 1.831e-4], [3.051e-4, 0.000e+0], [2.441e-4, 0.000e+0]])\n",
+ "arr_2d_1 = np.array([[0.000e0, 1.831e-4], [3.051e-4, 0.000e0], [2.441e-4, 0.000e0]])\n",
  "\n",
  "# log\n",
- "print(f\"arr_2d_1 :\\n{arr_2d_1}\", end='\\n\\n')\n",
+ "print(f\"arr_2d_1 :\\n{arr_2d_1}\", end=\"\\n\\n\")\n",
  "print(f\"arr_2d_1.shape : {arr_2d_1.shape}\")\n",
  "print(f\"arr_2d_1.dtype : {arr_2d_1.dtype}\")\n",
  "print(f\"arr_2d_1.nbytes : {arr_2d_1.nbytes}\")\n",
@@ -229,17 +229,10 @@
  }
  ],
  "source": [
- "arr_2d_2 = np.array(\n",
- " [\n",
- " [1, 2, 3, 4],\n",
- " [5, 6, 7, 8],\n",
- " [9, 10, 11, 12],\n",
- " [13, 14, 15, 16]\n",
- " ]\n",
- ")\n",
+ "arr_2d_2 = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]])\n",
  "\n",
  "# log\n",
- "print(f\"arr_2d_2 :\\n{arr_2d_2}\", end='\\n\\n')\n",
+ "print(f\"arr_2d_2 :\\n{arr_2d_2}\", end=\"\\n\\n\")\n",
  "print(f\"arr_2d_2.shape : {arr_2d_2.shape}\")\n",
  "print(f\"arr_2d_2.dtype : {arr_2d_2.dtype}\")\n",
  "print(f\"arr_2d_2.nbytes : {arr_2d_2.nbytes}\")\n",
@@ -321,15 +314,17 @@
  }
  ],
  "source": [
- "arr_3d_2 = np.array([\n",
- " [[203, 28, 91], [47, 124, 40], [19, 250, 51]],\n",
- " [[174, 87, 89], [15, 71, 231], [10, 12, 121]],\n",
- " [[193, 55, 81], [173, 19, 76], [1, 134, 250]],\n",
- " [[210, 50, 80], [180, 40, 60], [111, 32, 57]],\n",
- "])\n",
+ "arr_3d_2 = np.array(\n",
+ " [\n",
+ " [[203, 28, 91], [47, 124, 40], [19, 250, 51]],\n",
+ " [[174, 87, 89], [15, 71, 231], [10, 12, 121]],\n",
+ " [[193, 55, 81], [173, 19, 76], [1, 134, 250]],\n",
+ " [[210, 50, 80], [180, 40, 60], [111, 32, 57]],\n",
+ " ]\n",
+ ")\n",
  "\n",
  "# log\n",
- "print(f\"arr_3d_2 :\\n{arr_3d_2}\", end='\\n\\n')\n",
+ "print(f\"arr_3d_2 :\\n{arr_3d_2}\", end=\"\\n\\n\")\n",
  "print(f\"arr_3d_2.shape : {arr_3d_2.shape}\")\n",
  "print(f\"arr_3d_2.dtype : {arr_3d_2.dtype}\")\n",
  "print(f\"arr_3d_2.nbytes : {arr_3d_2.nbytes}\")\n",
@@ -377,7 +372,7 @@
  "arr_4d_1 = np.array([[[[1, 2], [3, 4]], [[5, 6], [7, 8]]], [[[9, 10], [11, 12]], [[13, 14], [15, 16]]]])\n",
  "\n",
  "# print\n",
- "print(f\"arr_4d_1 :\\n{arr_4d_1}\", end='\\n\\n')\n",
+ "print(f\"arr_4d_1 :\\n{arr_4d_1}\", end=\"\\n\\n\")\n",
  "print(f\"arr_4d_1.shape : {arr_4d_1.shape}\")\n",
  "print(f\"arr_4d_1.dtype : {arr_4d_1.dtype}\")\n",
  "print(f\"arr_4d_1.nbytes : {arr_4d_1.nbytes}\")\n",

codes/02_arithmetic-operations.ipynb

@@ -71,17 +71,17 @@
  "source": [
  "arr_1d_1 = np.array([1, 2, 3, 4])\n",
  "\n",
- "aso_1 = arr_1d_1 + 2  # np.add\n",
- "aso_2 = arr_1d_1 - 1  # np.subtract\n",
- "aso_3 = arr_1d_1 * 2  # np.multiply\n",
- "aso_4 = arr_1d_1 / 2  # np.divide\n",
+ "aso_1 = arr_1d_1 + 2 # np.add\n",
+ "aso_2 = arr_1d_1 - 1 # np.subtract\n",
+ "aso_3 = arr_1d_1 * 2 # np.multiply\n",
+ "aso_4 = arr_1d_1 / 2 # np.divide\n",
  "aso_5 = arr_1d_1 // 2 # np.floor_divide\n",
- "aso_6 = arr_1d_1 ** 2 # np.power\n",
- "aso_7 = arr_1d_1 % 2  # np.mod | np.remainder\n",
+ "aso_6 = arr_1d_1**2 # np.power\n",
+ "aso_7 = arr_1d_1 % 2 # np.mod | np.remainder\n",
  "\n",
  "# log\n",
  "for i in range(1, 8):\n",
- " print(f\"aso_{i} : {eval(f'aso_{i}')}\", end='\\n')"
+ " print(f\"aso_{i} : {eval(f'aso_{i}')}\", end=\"\\n\")"
  ]
  },
  {
@@ -132,7 +132,7 @@
  "aso_10 = arr_2d_1 * 2\n",
  "aso_11 = arr_2d_1 / 2\n",
  "aso_12 = arr_2d_1 // 2\n",
- "aso_13 = arr_2d_1 ** 2\n",
+ "aso_13 = arr_2d_1**2\n",
  "aso_14 = arr_2d_1 % 2\n",
  "\n",
  "# log\n",
@@ -175,7 +175,7 @@
  "aao_3 = arr_1d_2 * arr_1d_3\n",
  "aao_4 = arr_1d_2 / arr_1d_3\n",
  "aao_5 = arr_1d_2 // arr_1d_3\n",
- "aao_6 = arr_1d_2 ** arr_1d_3\n",
+ "aao_6 = arr_1d_2**arr_1d_3\n",
  "aao_7 = arr_1d_2 % arr_1d_3\n",
  "\n",
  "# log\n",
@@ -232,7 +232,7 @@
  "aao_10 = arr_2d_2 * arr_2d_3\n",
  "aao_11 = arr_2d_2 / arr_2d_3\n",
  "aao_12 = arr_2d_2 // arr_2d_3\n",
- "aao_13 = arr_2d_2 ** arr_2d_3\n",
+ "aao_13 = arr_2d_2**arr_2d_3\n",
  "aao_14 = arr_2d_2 % arr_2d_3\n",
  "\n",
  "# log\n",
@@ -290,7 +290,7 @@
  ],
  "source": [
  "arr_2d_4 = np.array([[1, 2, 3], [4, 5, 6]]) # shape: (2, 3)\n",
- "arr_2d_5 = np.array([[4], [1]])  # shape: (2, 1)\n",
+ "arr_2d_5 = np.array([[4], [1]]) # shape: (2, 1)\n",
  "\n",
  "# arr_2d_5 will be broadcasted to shape (2, 3) to match with arr_2d_4\n",
  "result_2 = arr_2d_4 + arr_2d_5\n",

codes/03_comparative-operations.ipynb

@@ -72,14 +72,14 @@
  "\n",
  "cso_1 = arr_1d_1 == 2 # np.equal\n",
  "cso_2 = arr_1d_1 != 2 # np.not_equal\n",
- "cso_3 = arr_1d_1 > 2  # np.greater\n",
- "cso_4 = arr_1d_1 < 2  # np.less\n",
+ "cso_3 = arr_1d_1 > 2 # np.greater\n",
+ "cso_4 = arr_1d_1 < 2 # np.less\n",
  "cso_5 = arr_1d_1 >= 2 # np.greater_equal\n",
  "cso_6 = arr_1d_1 <= 2 # np.less_equal\n",
  "\n",
  "# log\n",
  "for i in range(1, 7):\n",
- " print(f\"cso_{i} : {eval(f'cso_{i}')}\", end='\\n')"
+ " print(f\"cso_{i} : {eval(f'cso_{i}')}\", end=\"\\n\")"
  ]
  },
  {
@@ -171,7 +171,7 @@
  "\n",
  "# log\n",
  "for i in range(1, 7):\n",
- " print(f\"cao_{i} : {eval(f'cao_{i}')}\", end='\\n')"
+ " print(f\"cao_{i} : {eval(f'cao_{i}')}\", end=\"\\n\")"
  ]
  },
  {
@@ -276,7 +276,7 @@
  ],
  "source": [
  "arr_2d_4 = np.array([[1, 2, 2], [4, 1, 6]]) # shape: (2, 3)\n",
- "arr_2d_5 = np.array([[2], [1]])  # shape: (2, 1)\n",
+ "arr_2d_5 = np.array([[2], [1]]) # shape: (2, 1)\n",
  "\n",
  "# arr_2d_5 will be broadcasted to shape (2, 3) to match with arr_2d_4\n",
  "result_2 = arr_2d_4 == arr_2d_5\n",

codes/04_index-&-slice.ipynb

@@ -62,10 +62,10 @@
  "source": [
  "arr_1d_1 = np.array([8, 9, 0, 3, 1, 6, 4, 2])\n",
  "\n",
- "idx_1 = arr_1d_1[0]  # 8\n",
- "idx_2 = arr_1d_1[2]  # 0\n",
- "idx_3 = arr_1d_1[4]  # 1\n",
- "idx_4 = arr_1d_1[7]  # 2\n",
+ "idx_1 = arr_1d_1[0] # 8\n",
+ "idx_2 = arr_1d_1[2] # 0\n",
+ "idx_3 = arr_1d_1[4] # 1\n",
+ "idx_4 = arr_1d_1[7] # 2\n",
  "idx_5 = arr_1d_1[-8] # 8\n",
  "idx_6 = arr_1d_1[-6] # 0\n",
  "idx_7 = arr_1d_1[-4] # 1\n",
@@ -103,11 +103,11 @@
  "source": [
  "arr_2d_1 = np.array([[2, 3, 4], [7, 9, 8], [6, 5, 0]])\n",
  "\n",
- "idx_9 = arr_2d_1[0]  # [2 3 4]\n",
- "idx_10 = arr_2d_1[1]  # [7 9 8]\n",
- "idx_11 = arr_2d_1[2]  # [6 5 0]\n",
- "idx_12 = arr_2d_1[0, 1]  # 3\n",
- "idx_13 = arr_2d_1[1, 1]  # 9\n",
+ "idx_9 = arr_2d_1[0] # [2 3 4]\n",
+ "idx_10 = arr_2d_1[1] # [7 9 8]\n",
+ "idx_11 = arr_2d_1[2] # [6 5 0]\n",
+ "idx_12 = arr_2d_1[0, 1] # 3\n",
+ "idx_13 = arr_2d_1[1, 1] # 9\n",
  "idx_14 = arr_2d_1[-1, 0] # 6\n",
  "\n",
  "# log\n",
@@ -156,11 +156,11 @@
  "source": [
  "arr_3d_1 = np.array([[[2, 3], [0, 4]], [[7, 8], [4, 2]]])\n",
  "\n",
- "idx_15 = arr_3d_1[0]  # [[2 3] [0 4]]\n",
- "idx_16 = arr_3d_1[-1]  # [[7 8] [4 2]]\n",
- "idx_17 = arr_3d_1[0,  0]  # [2 3]\n",
- "idx_18 = arr_3d_1[0, -1]  # [0 4]\n",
- "idx_19 = arr_3d_1[-1,  1]  # [4 2]\n",
+ "idx_15 = arr_3d_1[0] # [[2 3] [0 4]]\n",
+ "idx_16 = arr_3d_1[-1] # [[7 8] [4 2]]\n",
+ "idx_17 = arr_3d_1[0, 0] # [2 3]\n",
+ "idx_18 = arr_3d_1[0, -1] # [0 4]\n",
+ "idx_19 = arr_3d_1[-1, 1] # [4 2]\n",
  "idx_20 = arr_3d_1[0, 0, 0] # 2\n",
  "idx_21 = arr_3d_1[1, 0, 1] # 8\n",
  "\n",
@@ -280,16 +280,16 @@
  "source": [
  "arr_1d_4 = np.array([8, 9, 0, 3, 1, 6, 4, 2])\n",
  "\n",
- "slc_1 = arr_1d_4[0:3]  # [8 9 0]\n",
- "slc_2 = arr_1d_4[:3]  # [8 9 0]\n",
- "slc_3 = arr_1d_4[:3:]  # [8 9 0]\n",
- "slc_4 = arr_1d_4[:3:1]  # [8 9 0]\n",
- "slc_5 = arr_1d_4[0:3:1]  # [8 9 0]\n",
- "slc_6 = arr_1d_4[5:8]  # [6 4 2]\n",
- "slc_7 = arr_1d_4[5:]  # [6 4 2]\n",
- "slc_8 = arr_1d_4[5:8:]  # [6 4 2]\n",
- "slc_9 = arr_1d_4[5::]  # [6 4 2]\n",
- "slc_10 = arr_1d_4[5::1]  # [6 4 2]\n",
+ "slc_1 = arr_1d_4[0:3] # [8 9 0]\n",
+ "slc_2 = arr_1d_4[:3] # [8 9 0]\n",
+ "slc_3 = arr_1d_4[:3:] # [8 9 0]\n",
+ "slc_4 = arr_1d_4[:3:1] # [8 9 0]\n",
+ "slc_5 = arr_1d_4[0:3:1] # [8 9 0]\n",
+ "slc_6 = arr_1d_4[5:8] # [6 4 2]\n",
+ "slc_7 = arr_1d_4[5:] # [6 4 2]\n",
+ "slc_8 = arr_1d_4[5:8:] # [6 4 2]\n",
+ "slc_9 = arr_1d_4[5::] # [6 4 2]\n",
+ "slc_10 = arr_1d_4[5::1] # [6 4 2]\n",
  "slc_11 = arr_1d_4[5:1000] # [6 4 2]\n",
  "\n",
  "# log\n",
@@ -346,14 +346,14 @@
  "source": [
  "arr_2d_3 = np.array([[2, 3, 4], [7, 9, 8], [6, 5, 0]])\n",
  "\n",
- "slc_12 = arr_2d_3[0, 0:2]  # [2 3]\n",
- "slc_13 = arr_2d_3[0, :2]  # [2 3]\n",
+ "slc_12 = arr_2d_3[0, 0:2] # [2 3]\n",
+ "slc_13 = arr_2d_3[0, :2] # [2 3]\n",
  "slc_14 = arr_2d_3[0:2, 1:3] # [[3 4] [9 8]]\n",
- "slc_15 = arr_2d_3[:2, 1:]  # [[3 4] [9 8]]\n",
- "slc_16 = arr_2d_3[0:3, 1]  # [3 9 5]\n",
- "slc_17 = arr_2d_3[:3, 1]  # [3 9 5]\n",
- "slc_18 = arr_2d_3[0:, 1]  # [3 9 5]\n",
- "slc_19 = arr_2d_3[:, 1]  # [3 9 5]\n",
+ "slc_15 = arr_2d_3[:2, 1:] # [[3 4] [9 8]]\n",
+ "slc_16 = arr_2d_3[0:3, 1] # [3 9 5]\n",
+ "slc_17 = arr_2d_3[:3, 1] # [3 9 5]\n",
+ "slc_18 = arr_2d_3[0:, 1] # [3 9 5]\n",
+ "slc_19 = arr_2d_3[:, 1] # [3 9 5]\n",
  "\n",
  "# log\n",
  "print(f\"arr_2d_3[0, 0:2] :\\n{slc_12}\", end=f\"\\n{'-' * 50}\\n\")\n",
@@ -414,16 +414,16 @@
  "source": [
  "arr_3d_2 = np.array([[[2, 3], [0, 4]], [[7, 8], [4, 2]]])\n",
  "\n",
- "slc_20 = arr_3d_2[0, 0, 0:2]  # [2 3]\n",
- "slc_21 = arr_3d_2[0, 0, 0:]  # [2 3]\n",
- "slc_22 = arr_3d_2[0, 0, :2]  # [2 3]\n",
- "slc_23 = arr_3d_2[0, 0, :]  # [2 3]\n",
- "slc_24 = arr_3d_2[0, 0:2, 1]  # [3 4]\n",
- "slc_25 = arr_3d_2[0, :, 1]  # [3 4]\n",
- "slc_26 = arr_3d_2[0, :, :]  # [[2 3] [0 4]] / Same as <arr_3d[0, ...]>\n",
- "slc_27 = arr_3d_2[0]  # [[2 3] [0 4]]\n",
+ "slc_20 = arr_3d_2[0, 0, 0:2] # [2 3]\n",
+ "slc_21 = arr_3d_2[0, 0, 0:] # [2 3]\n",
+ "slc_22 = arr_3d_2[0, 0, :2] # [2 3]\n",
+ "slc_23 = arr_3d_2[0, 0, :] # [2 3]\n",
+ "slc_24 = arr_3d_2[0, 0:2, 1] # [3 4]\n",
+ "slc_25 = arr_3d_2[0, :, 1] # [3 4]\n",
+ "slc_26 = arr_3d_2[0, :, :] # [[2 3] [0 4]] / Same as <arr_3d[0, ...]>\n",
+ "slc_27 = arr_3d_2[0] # [[2 3] [0 4]]\n",
  "slc_28 = arr_3d_2[0:2, 0, 0:2] # [[2 3] [7 8]]\n",
- "slc_29 = arr_3d_2[:, 0, :]  # [[2 3] [7 8]]\n",
+ "slc_29 = arr_3d_2[:, 0, :] # [[2 3] [7 8]]\n",
  "\n",
  "# log\n",
  "print(f\"arr_3d_2[0, 0, 0:2] :\\n{slc_20}\", end=f\"\\n{'-' * 50}\\n\")\n",
@@ -601,10 +601,10 @@
  "source": [
  "arr_1d_7 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n",
  "\n",
- "iai_1 = arr_1d_7[[0, 1, 2]]  # [1 2 3]\n",
+ "iai_1 = arr_1d_7[[0, 1, 2]] # [1 2 3]\n",
  "iai_2 = arr_1d_7[np.array([0, 1, 2])] # [1 2 3]\n",
- "iai_3 = arr_1d_7[[0, 4, 7]]  # [1 5 8]\n",
- "iai_4 = arr_1d_7[[-1, -2, -3]]  # [9 8 7]\n",
+ "iai_3 = arr_1d_7[[0, 4, 7]] # [1 5 8]\n",
+ "iai_4 = arr_1d_7[[-1, -2, -3]] # [9 8 7]\n",
  "\n",
  "# log\n",
  "print(f\"arr_1d_7[[0, 1, 2]] : {iai_1}\")\n",
@@ -644,10 +644,10 @@
  "source": [
  "arr_2d_6 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n",
  "\n",
- "iai_5 = arr_2d_6[[0, 2]]  # [[1 2 3] [7 8 9]]\n",
- "iai_6 = arr_2d_6[[0, 2], 0]  # [1 7]\n",
- "iai_7 = arr_2d_6[[0, 2], [1, 2]]  # [2 9]\n",
- "iai_8 = arr_2d_6[1, [0, 2]]  # [4 6]\n",
+ "iai_5 = arr_2d_6[[0, 2]] # [[1 2 3] [7 8 9]]\n",
+ "iai_6 = arr_2d_6[[0, 2], 0] # [1 7]\n",
+ "iai_7 = arr_2d_6[[0, 2], [1, 2]] # [2 9]\n",
+ "iai_8 = arr_2d_6[1, [0, 2]] # [4 6]\n",
  "iai_9 = arr_2d_6[[[0, 0], [2, 2]], [[0, 2], [0, 2]]] # [[1 3] [7 9]]\n",
  "\n",
  "# log\n",
@@ -685,7 +685,7 @@
  "\n",
  "# boolean indexing\n",
  "boolean_idx_1 = arr_1d_8 % 2 == 0 # [False True False True False True False True False]\n",
- "boolean_idx_2 = arr_1d_8 > 5  # [False False False False False True True True True]\n",
+ "boolean_idx_2 = arr_1d_8 > 5 # [False False False False False True True True True]\n",
  "boolean_idx_3 = [True, True, False, False, True, True, False, False, True]\n",
  "\n",
  "# indexing\n",
@@ -717,7 +717,7 @@
  "arr_2d_7 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n",
  "\n",
  "# boolean indexing\n",
- "boolean_idx_4 = arr_2d_7 > 3  # [False False False True True True True True True]\n",
+ "boolean_idx_4 = arr_2d_7 > 3 # [False False False True True True True True True]\n",
  "boolean_idx_5 = np.sum(arr_2d_7, axis=1) < 15 # [True False False]\n",
  "boolean_idx_6 = np.sum(arr_2d_7, axis=0) < 16 # [True True False]\n",
  "\n",