import numpy as npnp_marks = np.array( [23, 21, 18, 25, 12, 18, 10] )print( np_marks[ (np_marks >= 15) ] )
Question
import numpy as npnp_marks = np.array( [23, 21, 18, 25, 12, 18, 10] )print( np_marks[ (np_marks >= 15) ] )
Solution
The code you provided is written in Python, specifically using the NumPy library. It creates an array of student marks and then prints out all marks that are greater than or equal to 15. Here's a step-by-step explanation:
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import numpy as np: This line imports the NumPy library, which is a powerful library in Python used for mathematical and logical operations on arrays. It is renamed asnpfor convenience. -
np_marks = np.array( [23, 21, 18, 25, 12, 18, 10] ): This line creates a NumPy array namednp_markscontaining the values 23, 21, 18, 25, 12, 18, and 10. These values could represent, for example, the marks of seven students in a test. -
print( np_marks[ (np_marks >= 15) ] ): This line prints out all the values innp_marksthat are greater than or equal to 15. The expression(np_marks >= 15)creates a boolean mask where each element isTrueif the corresponding element innp_marksis greater than or equal to 15, andFalseotherwise. When this mask is used to indexnp_marks, only the elements where the mask isTrueare selected.
So, if you run this code, it will print out the values 23, 21, 18, 25, and 18, because these are the marks that are greater than or equal to 15.
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