NumPy array concatenation, respectively, on rows and columns of merged instances

This article mainly introduces about NumPy array splicing, respectively, the combination of rows and columns on the example, has a certain reference value, now share to everyone, there is a need for friends can refer to

In the analysis of data, we will combine some sample data with multiple characteristics, put together to analyze, predict ....

The following is a concatenation of arrays using functions in NumPy.

(1) method one. Np.vstack () v means vertical vertical, that is, vertical stitching and np.hstack () h for Horizontal landscape

(2) method Two,Np.c_[array1,array2] c_ represents colum column Np.r_[array1,array2] r_ means row row