Access 2-D and 3-D Arrays
Let's have a look at an example of a 2-D array with axis numbering:
Let's have a look at an example of indexing (both positive and negative) in 2-D arrays:
Let's examine the syntax of slicing: array[start_row: end_row: step_row, start_column: end_column: step_column], where:
- start_row is the index from which row slicing begins;
- end_row is the index where row slicing stops (note that this index is not included);
- step_row is the parameter that specifies the intervals between row indices;
- start_column is the index from which column slicing starts;
- end_column is the index where column slicing ends (note that this index is not included);
- step_column is the parameter that determines the intervals between column indices.
Now, let's refer to the following image:
Let's have a look at an example of a 3-D array with axis numbering:
Aufgabe
Swipe to start coding
Consider the following array: [[6, 5, 7, 8], [65, 2, 7, 9]].
- Retrieve the fourth element from the first part of the array
[6, 5, 7, 8], and the first element from the second part of the array[65, 2, 7, 9]. - Multiply the obtained elements together.
- Display the product of the obtained elements.
Lösung
import numpy as np
# Creating array
arr = np.array([[6, 5, 7, 8], [65, 2, 7, 9]])
# 1. Get the fourth element from the first inner array
fourth_element = arr[0, 3]
# 2. Get the first element from the second inner array
first_element = arr[1, 0]
# 3. Multiplying the obtained elements
result = fourth_element * first_element
print(result)
War alles klar?
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Abschnitt 3. Kapitel 3
import numpy as np
# Creating array
arr = np.array([[6, 5, 7, 8], [65, 2, 7, 9]])
# 1. Get the fourth element from the first inner array
fourth_element = ___
# 2. Get the first element from the second inner array
first_element = ___
# 3. Multiplying the obtained elements
result = ___ * ___
print(___)
