How to load and save 3D Numpy array to file using savetxt() and loadtxt() functions?
Prerequisites: numpy.savetxt(), numpy.loadtxt()
Numpy.savetxt() is a method in python in numpy library to save an 1D and 2D array to a file.
Syntax: numpy.savetxt(fname, X, fmt=’%.18e’, delimiter=’ ‘, newline=’\n’, header=”, footer=”, comments=’# ‘, encoding=None)
numpy.loadtxt() is a method in python in numpy library to load data from a text file for faster reading.
Syntax: numpy.loadtxt(fname, dtype=’float’, comments=’#’, delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)
Saving and loading 3D arrays
As discussed earlier we can only use 1D or 2D array in numpy.savetxt(), and if we use an array of more dimensions it will throw a ValueError – Expected 1D or 2D array, got 3D array instead. Therefore, we need to find a way to save and retrieve, at least for 3D arrays, here’s how you can do this by using some Python tricks.
- Step 1: reshape the 3D array to 2D array.
- Step 2: Insert this array to the file
- Step 3: Load data from the file to display
- Step 4: convert back to the original shaped array
numpy as gfg
"shape of arr: "
"shape of load_original_arr: "
"Yes, both the arrays are same"
"No, both the arrays are not same"
shape of arr: (5, 4, 3)
shape of load_original_arr: (5, 4, 3)
Yes, both the arrays are same