Using for loops
We can loop through an array using a simple for loop.
arr = np.array(["Shame", "Hangin'", "Glory"])
for i in arr:
print(i)
"""
Shame
Hangin'
Glory
"""
It returns arrays [which are the elements] in case of multi-dimensional arrays.
arr = np.array([["Shame", "Hangin'", "Glory"],["The Nights", "Warmth", "Of The Night"]])
for i in arr:
print(i)
"""
['Shame' "Hangin'" 'Glory']
['The Nights' 'Warmth' 'Of The Night']
"""
nditer()
If looping through multi-dimensional arrays, I’d suggest using nditer()
arr = np.array([["Shame", "Hangin'", "Glory"],["The Nights", "Warmth", "Of The Night"]])
for i in np.nditer(arr):
print(i)
"""
Shame
Hangin'
...
Of The Night
"""
Slicing operation
Slicing can be done to loop through certain parts of the array.
arr = np.array([["Shame", "Hangin'", "Glory", "My Blood"],["Riptide","The Nights", "Warmth", "Of The Night"]])
for i in np.nditer(arr[:, ::2]):
# select the entire array and go for 1st and 3rd elements
print(i)
"""
Shame
Glory
Riptide
Warmth
"""
ndenumerate()
It loops through the array and returns position and value of all elements.
arr = np.array([["Shame", "Hangin'", "Glory", "My Blood"],["Riptide","The Nights", "Warmth", "Of The Night"]])
for i in np.ndenumerate(arr):
print(i)
"""
((0, 0), 'Shame')
((0, 1), "Hangin'")
...
((1, 3), 'Of The Night')
"""
index and value are its two properties.
for index, value in np.ndenumerate(arr):
print(f"{value} is at position {index}")
"""
Shame is at position (0, 0)
Hangin' is at position (0, 1)
...
Of The Night is at position (1, 3)
"""