Complex number type in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a complex number using numpy.

NumPy

import numpy as np
z = np.[1](3 + 4j)
print(z)

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Acomplex

Barray

Cfloat

Dint

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.array instead of np.complex

Using np.float or np.int which are for real numbers only

The np.complex function creates a complex number in numpy.

2fill in blank

medium

Complete the code to get the imaginary part of a numpy complex number.

NumPy

import numpy as np
z = np.complex(2 + 5j)
imag_part = z[1]
print(imag_part)

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A.imag

B.real

C.conjugate()

D.abs()

Attempts:

3 left

💡 Hint

Common Mistakes

Using .real instead of .imag

Calling .abs() which returns magnitude

The .imag attribute gives the imaginary part of a complex number.

3fill in blank

hard

Fix the error in the code to correctly create a numpy complex number from real and imaginary parts.

NumPy

import numpy as np
real = 1
imag = 2
z = np.complex([1] + [2]j)
print(z)

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Areal, imag

Breal, real

Creal, 2

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same variable twice

Not multiplying the imaginary part by j

To create a complex number from parts, add real part plus imaginary part times j.

4fill in blank

hard

Fill both blanks to create a numpy array of complex numbers from two lists of real and imaginary parts.

NumPy

import numpy as np
real_parts = [1, 2, 3]
imag_parts = [4, 5, 6]
complex_array = np.array([[1] + [2]j for [3] in range(3)])
print(complex_array)

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Areal_parts

Bimag_parts

Ci

Dj

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong variable names

Forgetting to multiply imaginary parts by j

We use list comprehension with index i to combine real and imaginary parts into complex numbers.

5fill in blank

hard

Fill all three blanks to create a dictionary mapping complex numbers to their magnitudes.

NumPy

import numpy as np
complex_nums = [1+1j, 2+2j, 3+3j]
magnitudes = [1]: np.[2]([3]) for [4] in complex_nums}}
print(magnitudes)

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Anum

Babs

Dmagnitude

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong variable names

Using np.abs incorrectly

We create a dictionary where keys are complex numbers and values are their magnitudes using np.abs.