30 Mar Axes in Numpy arrays
In Numpy arrays, the axis is the direction along the rows and columns. A two-dimensional numpy array has the following two corresponding axes:
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vertical axis (axis 0) horizontal axis (axis 1) |
Let us see an example to understand the concept of axis:
Getting minimum value with axes
Specifying axes will calculate values along that specific axes only. Let us see an example. We have used the min() method and the axis attribute:
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import numpy as np # Create a numpy 3x5 array n = np.array([[2, 5, 7, 9, 6], [15, 25, 35, 45, 55], [100, 200, 300, 400, 500]]) print("Iterating 2D array...") for a in n: print(a) print("\nMinimum value = ", n.min()) print("\nMinimum value with axis 0 (vertical axes) = ", n.min(axis=0)) print("\nMinimum value with axis 1 (horizontal axes) = ", n.min(axis=1)) |
Output
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Iterating 2D array... [2 5 7 9 6] [15 25 35 45 55] [100 200 300 400 500] Minimum value = 2 Minimum value with axis 0 (vertical axes) = [2 5 7 9 6] Minimum value with axis 1 (horizontal axes) = [ 2 15 100] |
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