With the help of Numpy ndarray.imag() method, we can find the imaginary values in an imaginary expressions by just using ndarray.imag() method. Remember resulting data type for the imaginary value is ‘float64’.
Syntax :
ndarray.imag()Return : Array of imaginary values having dtype ‘float64’
Example #1 :
In this example we can see that we get the array of imaginary values using ndarray.imag() method and we are also trying to print the dtype of those imag values.
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([1 + 2j, 2 + 3j]) # applying ndarray.imag() method neveropen = np.imag(gfg) print(neveropen, end ='\n\n') print(np.imag(neveropen).dtype) |
Output:
[ 2. 3.] float64
Example #2 :
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([1 + 2j, 2 + 3j]) gfg = np.sqrt(gfg) # applying ndarray.imag() method neveropen = np.imag(gfg) print(neveropen, end ='\n\n') print(np.imag(neveropen).dtype) |
Output:
[ 0.78615138 0.89597748] float64
