Create a NumPy 1D Array

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The following Python code demonstrates how to reshape a one-dimensional array into a two-dimensional array using NumPy:

import numpy as np

# Define a one-dimensional array
arr = np.array([1, 2, 3, 4, 5, 6])

# Reshape the array into a 2x3 matrix
reshaped_arr = arr.reshape(2, 3)
print(reshaped_arr)

import numpy as np

# Define two arrays
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])

# Perform element-wise addition
result_addition = arr1 + arr2
print('Addition:', result_addition)

# Perform scalar multiplication
result_multiplication = arr1 * 2
print('Multiplication:', result_multiplication)

import numpy as np

# Create an array
arr = np.array([10, 20, 30, 40, 50])

# Calculate and print the mean
mean = np.mean(arr)
print('Mean:', mean)

# Calculate and print the standard deviation
std_dev = np.std(arr)
print('Standard Deviation:', std_dev)

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