Update pages/3_NumpyBasics.py

pages/3_NumpyBasics.py

@@ -1,65 +1,152 @@
 import streamlit as st
 import numpy as np
 
+# Example functions
 def example1():
-    array = np.array([1, 2, 3, 4, 5])
-    return array
+    code = "import numpy as np"
+    exec(code)
+    return code
 
 def example2():
-    array = np.arange(0, 10, 2)
-    return array
+    code = "array = np.array([1, 2, 3, 4, 5])\narray"
+    array = np.array([1, 2, 3, 4, 5])
+    return code, array
 
 def example3():
-    array = np.linspace(0, 1, 5)
-    return array
+    code = "array = np.arange(10)\narray"
+    array = np.arange(10)
+    return code, array
 
 def example4():
-    array = np.zeros((3, 3))
-    return array
+    code = "array = np.linspace(0, 1, 5)\narray"
+    array = np.linspace(0, 1, 5)
+    return code, array
 
 def example5():
-    array = np.ones((2, 3))
-    return array
+    code = "array = np.array([[1, 2, 3], [4, 5, 6]])\nreshaped_array = array.reshape((3, 2))\nreshaped_array"
+    array = np.array([[1, 2, 3], [4, 5, 6]])
+    reshaped_array = array.reshape((3, 2))
+    return code, reshaped_array
 
 def example6():
-    array = np.eye(4)
-    return array
+    code = "array = np.array([1, 2, 3, 4, 5])\narray[1:4]"
+    array = np.array([1, 2, 3, 4, 5])
+    sliced_array = array[1:4]
+    return code, sliced_array
 
 def example7():
-    array = np.random.random((2, 3))
-    return array
+    code = "array = np.array([[1, 2], [3, 4], [5, 6]])\nfancy_indexed_array = array[[0, 1], [1, 0]]\nfancy_indexed_array"
+    array = np.array([[1, 2], [3, 4], [5, 6]])
+    fancy_indexed_array = array[[0, 1], [1, 0]]
+    return code, fancy_indexed_array
 
 def example8():
-    array = np.random.randint(1, 10, size=(3, 3))
-    return array
+    code = "array = np.array([1, 2, 3, 4, 5])\nboolean_indexed_array = array[array > 3]\nboolean_indexed_array"
+    array = np.array([1, 2, 3, 4, 5])
+    boolean_indexed_array = array[array > 3]
+    return code, boolean_indexed_array
 
 def example9():
+    code = "array = np.array([1, 2, 3, 4, 5])\narray * 2"
     array = np.array([1, 2, 3, 4, 5])
-    reshaped_array = array.reshape((5, 1))
-    return reshaped_array
+    result = array * 2
+    return code, result
 
 def example10():
-    array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
-    transposed_array = np.transpose(array)
-    return transposed_array
+    code = "array = np.array([[1, 2, 3], [4, 5, 6]])\nnp.sum(array)"
+    array = np.array([[1, 2, 3], [4, 5, 6]])
+    result = np.sum(array)
+    return code, result
+
+def example11():
+    code = "matrix = np.array([[1, 2], [3, 4]])\nnp.dot(matrix, matrix)"
+    matrix = np.array([[1, 2], [3, 4]])
+    result = np.dot(matrix, matrix)
+    return code, result
+
+def example12():
+    code = "array = np.array([1, 2, 3])\narray + np.array([4, 5, 6])"
+    array = np.array([1, 2, 3])
+    result = array + np.array([4, 5, 6])
+    return code, result
+
+def example13():
+    code = "random_array = np.random.random((2, 2))\nrandom_array"
+    random_array = np.random.random((2, 2))
+    return code, random_array
+
+def example14():
+    code = "array = np.array([3, 1, 2])\nnp.sort(array)"
+    array = np.array([3, 1, 2])
+    sorted_array = np.sort(array)
+    return code, sorted_array
+
+def example15():
+    code = "array = np.array([1, 2, 3, 4, 5])\nnp.searchsorted(array, 3)"
+    array = np.array([1, 2, 3, 4, 5])
+    index = np.searchsorted(array, 3)
+    return code, index
+
+def example16():
+    from skimage import data
+    code = "from skimage import data\nimage = data.camera()\nnp.mean(image)"
+    image = data.camera()
+    mean_value = np.mean(image)
+    return code, mean_value
+
+def example17():
+    code = "positions = np.random.random((10, 2))\nvelocities = np.random.random((10, 2))\npositions + velocities"
+    positions = np.random.random((10, 2))
+    velocities = np.random.random((10, 2))
+    result = positions + velocities
+    return code, result
+
+def example18():
+    code = "data = np.random.random((100, 4))\nnp.mean(data, axis=0)"
+    data = np.random.random((100, 4))
+    mean_values = np.mean(data, axis=0)
+    return code, mean_values
+
+def example19():
+    code = "array = np.array([1, 2, 3])\nnp.power(array, 3)"
+    array = np.array([1, 2, 3])
+    result = np.power(array, 3)
+    return code, result
+
+def example20():
+    code = "array = np.array([1, 2, 3, 4, 5])\nnp.cumsum(array)"
+    array = np.array([1, 2, 3, 4, 5])
+    result = np.cumsum(array)
+    return code, result
 
 examples = [
-    ("Example 1: Create a simple array", example1),
-    ("Example 2: Create an array with a range of values using arange", example2),
-    ("Example 3: Create an array with evenly spaced values using linspace", example3),
-    ("Example 4: Create a 3x3 matrix of zeros", example4),
-    ("Example 5: Create a 2x3 matrix of ones", example5),
-    ("Example 6: Create an identity matrix", example6),
-    ("Example 7: Create a 2x3 matrix with random values", example7),
-    ("Example 8: Create a 3x3 matrix with random integers", example8),
-    ("Example 9: Reshape a 1D array to a 2D array", example9),
-    ("Example 10: Transpose a 2D array", example10),
+    ("Example 1: Import NumPy", example1),
+    ("Example 2: Create a simple array", example2),
+    ("Example 3: Create an array with a range of values", example3),
+    ("Example 4: Create an array with evenly spaced values using linspace", example4),
+    ("Example 5: Reshape a 2D array", example5),
+    ("Example 6: Slice a 1D array", example6),
+    ("Example 7: Fancy indexing on a 2D array", example7),
+    ("Example 8: Boolean indexing on a 1D array", example8),
+    ("Example 9: Element-wise multiplication", example9),
+    ("Example 10: Sum of all elements in a 2D array", example10),
+    ("Example 11: Dot product of two matrices", example11),
+    ("Example 12: Broadcasting example", example12),
+    ("Example 13: Generate random numbers", example13),
+    ("Example 14: Sort an array", example14),
+    ("Example 15: Search for a value in a sorted array", example15),
+    ("Example 16: Mean value of an image", example16),
+    ("Example 17: Numerical simulation with random positions and velocities", example17),
+    ("Example 18: Mean of each column in a 2D array", example18),
+    ("Example 19: Element-wise power", example19),
+    ("Example 20: Cumulative sum of an array", example20),
 ]
 
-st.title("NumPy Essentials with Streamlit")
+st.title("NumPy Course with Streamlit")
 
 for title, func in examples:
     st.header(title)
     if st.button(f"Run {title.split(':')[0]}"):
-        result = func()
+        code, result = func()
+        st.code(code)
         st.write("Output:", result)