How to merge numpy arrays in Python

This time I will bring you Python's numpyarraysHow to merge, what are the notes for Python's numpy array merge, the following is a practical case, Let’s take a look.

There are many ways to merge numpy arrays in Python, such as

- np.append()
- np.concatenate()
- np.stack()
- np.hstack()
- np.vstack()
- np.dstack()

The most commonly used one is the first one and the second. The first one is more readable and flexible, but takes up a lot of memory. The second one does not have the problem of large memory usage.

Method 1——append

##parametersintroductionarrCopy of the array to be merged (especially the homepage is values Used to merge the copied values ​​into the above array. If the following parameters axisAxis to be merged

	copy, so it will consume a lot more memory)
	axis are specified, these values ​​​​must be consistent with the shape of arr (equal except shape[axis]), otherwise, there is no requirement.

Example:

Method 2——concatenate

##parameters*arrayaxis

introduction
sThese arrays are except on the axis to be merged (the default is axis=0) In addition, it must have the same shape
The axis to be merged, the default is 0

Example:

I believe you have mastered the method after reading the case in this article. For more exciting information, please pay attention to other related articles on the php Chinese website!

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