Generating Sequential Arrays with arange

seq_arr = np.arange(8)  # Generates [0, 8) as a half-open interval
print(seq_arr)
step_arr = np.arange(0, 8, 7)
print(step_arr)

Output:

[0 1 2 3 4 5 6 7]
[0 7]

Transposing and Reshaping ndarray Objects

# Create a one-dimensional array from 0 to 8
base_arr = np.arange(9)
# Reshape into a 3x3 two-dimensional array
reshaped_arr = base_arr.reshape((3, 3))
print(base_arr)
print(reshaped_arr)

# Transpose the matrix (swap rows and columns)
print(reshaped_arr.T)

# Perform matrix multiplication
print(np.dot(reshaped_arr, reshaped_arr.T))

# Working with multi-dimensional arrays
# Create a 3D array with shape (2,2,2)
three_d_arr = np.arange(8).reshape((2, 2, 2))
print(three_d_arr)
# Access element at position [1][1][0]
print(three_d_arr[1][1][0])

Output:

[0 1 2 3 4 5 6 7 8]
[[0 1 2]
 [3 4 5]
 [6 7 8]]
[[0 3 6]
 [1 4 7]
 [2 5 8]]
[[ 5 14 23]
 [14 50 86]
 [23 86 149]]
[[[0 1]
  [2 3]]
 [[4 5]
  [6 7]]]
6

Common Unary Functions in NumPy

Function	Description
abs/fabs	Compute absolute values; fabs is faster for non-negative numbers
sqrt	Calculate square roots of elements
square	Compute squares of elements
exp	Calculate exponential values (e^x)
log, log10, log2, log1p	Natural log (base e), base-10 log, base-2 log, and log(1+x)
sign	Determine sign: 1 (positive), 0 (zero), -1 (negative)
ceil	Compute ceiling values (smlalest integer ≥ element)
floor	Compute floor values (largest integer ≤ element)
rint	Round elmeents to nearest integers while preserving dtype
modf	Return fractional and integer parts as separate arrays
isnan	Return boolean array indicating NaN (Not a Number) values
isfinite, isinf	Return boolean arrays to finite and infinite values