Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about **How to save and load numpy.array() data properly** **in Python**. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

## How to save and load numpy.array() data properly?

**How to save and load numpy.array() data properly?**The most reliable way I have found to do this is to use

`np.savetxt`

with`np.loadtxt`

and not`np.fromfile`

which is better suited to binary files written with`tofile`

.**save and load numpy.array() data properly**The most reliable way I have found to do this is to use

`np.savetxt`

with`np.loadtxt`

and not`np.fromfile`

which is better suited to binary files written with`tofile`

.

## Method 1

The most reliable way I have found to do this is to use `np.savetxt`

with `np.loadtxt`

and not `np.fromfile`

which is better suited to binary files written with `tofile`

. The `np.fromfile`

and `np.tofile`

methods write and read binary files whereas `np.savetxt`

writes a text file. So, for example:

a = np.array([1, 2, 3, 4]) np.savetxt('test1.txt', a, fmt='%d') b = np.loadtxt('test1.txt', dtype=int) a == b # array([ True, True, True, True], dtype=bool)

Or:

a.tofile('test2.dat') c = np.fromfile('test2.dat', dtype=int) c == a # array([ True, True, True, True], dtype=bool)

I use the former method even if it is slower and creates bigger files (sometimes): the binary format can be platform dependent (for example, the file format depends on the endianness of your system).

There is a *platform independent* format for NumPy arrays, which can be saved and read with `np.save`

and `np.load`

:

np.save('test3.npy', a) # .npy extension is added if not given d = np.load('test3.npy') a == d # array([ True, True, True, True], dtype=bool)

## Method 2

np.save('data.npy', num_arr) # save new_num_arr = np.load('data.npy') # load

**Conclusion**

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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