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How to convert numpy to xyz file?

Posted on April 26, 2021April 13, 2022 By Luke K

Let’s learn how to convert Numpy to an XYZ file. We will use the Numpy reshape method for that purpose.
Numpy xyz file format

Having a file means you can format it as a Numpy array using existing functions.

Converting Numpy to xyz

To get the xyz file format, it is enough to use the simple reshape method with -1 as a parameter.

import numpy as np

my_file = np.genfromtxt('C:/Users/Pythoneo/Documents/veryimportantfile.txt', dtype='str')
print(f"My file \n{my_file}")

my_array = np.array(my_file)
my_array = my_array.reshape(-1, 3)

print(f"My xyz array \n{my_array}")

Numpy xyz file format

As you may have noticed, reshape(-1, 3) created a three-column array. Thanks to the -1 parameter, Numpy will adjust the row numbers by themselves.

See also  How to plot log values in Numpy and Matplotlib?
numpy Tags:array, reshape

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