What is the numpy sum function and how do I use it?
The numpy sum function is used to calculate the sum of array elements over a specified axis. You can use it like this: numpy.sum(array, axis=None)
.
Can you give me an example of how to use it with a 2D array?
Sure! Here's an example:
import numpy as np
array = np.array([[1, 2, 3], [4, 5, 6]])
sum_total = np.sum(array)
print(sum_total) # Output: 21
This sums all elements in the 2D array.
What if I want to sum along a specific axis?
You can specify the axis parameter. For example, np.sum(array, axis=0)
sums along the columns, while np.sum(array, axis=1)
sums along the rows.
Can I sum only certain elements based on a condition?
Yes! You can use boolean indexing to filter elements before summing. For example:
sum_filtered = np.sum(array[array > 3])
print(sum_filtered) # Output: 21
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