NumPy ndarray.imag() Method | Get Imaginary Part in NumPy Array Last Updated : 05 Feb, 2024 Comments Improve Suggest changes Like Article Like Report The ndarray.imag() method returns the imaginary part of the complex number in the NumPy array. Note: Remember resulting data type for the imaginary value is 'float64'. Example Python3 # 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 geeks = np.imag(gfg) print(geeks, end ='\n\n') print(np.imag(geeks).dtype) Output[ 2. 3.] float64 SyntaxSyntax: ndarray.imag() Return Array of imaginary values having dtype 'float64'How to Find Imaginary Values of Complex Number in NumPy ArrayTo find the imaginary values in the NumPy array we use ndarray.imag() function of the NumPy library in Python. Let us understand it better with an example: Example: Find Imaginary Values in NumPy Array Python3 # 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 geeks = np.imag(gfg) print(geeks, end ='\n\n') print(np.imag(geeks).dtype) Output[ 0.78615138 0.89597748] float64 Comment More infoAdvertise with us Next Article NumPy ndarray.imag() Method | Get Imaginary Part in NumPy Array J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads NumPy ndarray.size() Method | Get Number of Elements in NumPy Array The ndarray.size() method returns the number of elements in the NumPy array. It works the same as np.prod(a.shape), i.e., the product of the dimensions of the array. 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