pages/3_NumpyBasics.py

import streamlit as st
import numpy as np

def example1():
    array = np.array([1, 2, 3, 4, 5])
    return array

def example2():
    array = np.arange(0, 10, 2)
    return array

def example3():
    array = np.linspace(0, 1, 5)
    return array

def example4():
    array = np.zeros((3, 3))
    return array

def example5():
    array = np.ones((2, 3))
    return array

def example6():
    array = np.eye(4)
    return array

def example7():
    array = np.random.random((2, 3))
    return array

def example8():
    array = np.random.randint(1, 10, size=(3, 3))
    return array

def example9():
    array = np.array([1, 2, 3, 4, 5])
    reshaped_array = array.reshape((5, 1))
    return reshaped_array

def example10():
    array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    transposed_array = np.transpose(array)
    return transposed_array

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),
]

st.title("NumPy Essentials with Streamlit")

for title, func in examples:
    st.header(title)
    if st.button(f"Run {title.split(':')[0]}"):
        result = func()
        st.write("Output:", result)