Update

Author: sh-navid

lessons/python/modules/numpy/README.md

@@ -16,17 +16,16 @@
   - `V: byte-like object` ??
 - [Convert Data Type](numpy_convert_data_type.py)
   - `.astype()`
-- [Access](numpy_access.py)
-  - `.base` <sub>check if returned array is copy or view</sub>
-  - `np.nditer(array), np.ndenumerate(array)`
 - [Functions](numpy_functions.py)
   - `.reshape()`
   - `np.concatenate()`
   - `np.stack(), np.hstack(), np.vstack(), np.dstack()`
+  - [`np.nditer(array), np.ndenumerate(array)`](numpy_access.py)
 - Filter
   - [Where](numpy_filter_values.py)
 - Access
   - [One Row](numpy_access_one_row.py)
   - [One Column](numpy_access_one_column.py)
   - [Box](numpy_access_range.py)
-  - [`.copy()` va `.view()`](numpy_access_copy_view.py)
+  - [`.copy()` va `.view()`, `.base`](numpy_access_copy_view.py) <sub>check if returned array is copy or view</sub>
+- Math

lessons/python/modules/numpy/numpy_access.py

@@ -1,80 +1,61 @@
 import numpy as np
 
 # ------------------------------------------------------------------
-# View, Copy
-my_array = np.array([1, 2, 3, 4, 5])
-my_array_copy = my_array.copy()
-my_array_view = my_array.view()
+# Iterate
 
 
-my_array_copy[0] = 100
-print(my_array, my_array_copy, my_array_copy.base)
-# [1 2 3 4 5] [100   2   3   4   5] None
+L = [
+    [1, 2, 3, 4, 5],
+    [1, 2, 3, 4, 6],
+    [1, 2, 3, 4, 7],
+    [1, 2, 3, 4, 8],
+]
 
+N = np.array(L)
 
-my_array_view[0] = 100
-print(my_array, my_array_view, my_array_view.base)
-# [100   2   3   4   5] [100   2   3   4   5] [100   2   3   4   5]
 
+for x in N:
+    for y in x:
+        print(y, end=" - ")
+# 1 - 2 - 3 - 4 - 5 - 1 - 2 - 3 - 4 - 6 - 1 - 2 - 3 - 4 - 7 - 1 - 2 - 3 - 4 - 8 -
 
-# ------------------------------------------------------------------
-# Iterate
 
+print()
 
-my_array = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
-my_array = my_array.reshape(2, 3, -1)
 
+for x in N.reshape(-1):
+    print(x, end=" * ")
+# 1 * 2 * 3 * 4 * 5 * 1 * 2 * 3 * 4 * 6 * 1 * 2 * 3 * 4 * 7 * 1 * 2 * 3 * 4 * 8 *
 
-for x in my_array:
-    for y in x:
-        for z in y:
-            print(z)
-"""
-1
-2
-3
-4
-5
-6
-7
-8
-9
-10
-11
-12
-"""
 
+print()
+
+
+for x in np.nditer(N):
+    print(x, end=" ^ ")
+# 1 ^ 2 ^ 3 ^ 4 ^ 5 ^ 1 ^ 2 ^ 3 ^ 4 ^ 6 ^ 1 ^ 2 ^ 3 ^ 4 ^ 7 ^ 1 ^ 2 ^ 3 ^ 4 ^ 8 ^
 
-for item in np.nditer(my_array):
-    print(item)
-"""
-1
-2
-3
-4
-5
-6
-7
-8
-9
-10
-11
-12
-"""
 
-for index, item in np.ndenumerate(my_array):
+for index, item in np.ndenumerate(N):
     print(index, item)
 """
-(0, 0, 0) 1
-(0, 0, 1) 2
-(0, 1, 0) 3
-(0, 1, 1) 4
-(0, 2, 0) 5
-(0, 2, 1) 6
-(1, 0, 0) 7
-(1, 0, 1) 8
-(1, 1, 0) 9
-(1, 1, 1) 10
-(1, 2, 0) 11
-(1, 2, 1) 12
+(0, 1) 2
+(0, 2) 3
+(0, 3) 4
+(0, 4) 5
+(1, 0) 1
+(1, 1) 2
+(1, 2) 3
+(1, 3) 4
+(1, 4) 6
+(2, 0) 1
+(2, 1) 2
+(2, 2) 3
+(2, 3) 4
+(2, 4) 7
+(3, 0) 1
+(3, 1) 2
+(3, 2) 3
+(3, 3) 4
+(3, 4) 8
 """

lessons/python/modules/numpy/numpy_access_copy_view.py

@@ -0,0 +1,35 @@
+import numpy as np
+
+L = [
+    [1, 2, 3, 4, 5],
+    [1, 2, 3, 4, 6],
+    [1, 2, 3, 4, 7],
+    [1, 2, 3, 4, 8],
+]
+
+N = np.array(L)
+
+C = N.copy()
+V = N.view()
+
+V[0, 0] = 100
+print(N)
+
+C[0, 0] = -1
+print(N)
+print(C)
+
+
+print(N.base)
+# None
+
+print(V.base)
+'''
+[[100   2   3   4   5]
+ [  1   2   3   4   6]
+ [  1   2   3   4   7]
+ [  1   2   3   4   8]]
+'''
+
+print(C.base)
+# None