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
| introduction | |
|---|---|
| Copy of the array to be merged (especially the homepage is | copy, so it will consume a lot more memory) |
| Used to merge the copied values into the above array. If the following parameters | axis are specified, these values must be consistent with the shape of arr (equal except shape[axis]), otherwise, there is no requirement.
|
| Axis to be merged |
Example:
Method 2——concatenate
| 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 |
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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Summary of Pycharm usage skillsHow to obtain the local peak value of a two-dimensional array in pythonThe above is the detailed content of How to merge numpy arrays in Python. For more information, please follow other related articles on the PHP Chinese website!
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