| 修订版 | 6612252ca3b5cc2900a43872987f35bd8ffc9d21 (tree) |
|---|---|
| 时间 | 2024-06-26 04:53:05 |
| 作者 | Lorenzo Isella <lorenzo.isella@gmai...> |
| Commiter | Lorenzo Isella |
I simple python script showcasing new.axis to quickly define a matrix in Python.
Python-codes/matrix_easy.py (diff)| @@ -0,0 +1,21 @@ | ||
| 1 | +import numpy as np | |
| 2 | + | |
| 3 | +#Now it is time to evaluate the matrix N_mat[i,j]=n[i]n[j] | |
| 4 | + | |
| 5 | +n= np.arange(4) | |
| 6 | + | |
| 7 | +n | |
| 8 | + | |
| 9 | +m=np.arange(6) | |
| 10 | + | |
| 11 | +m | |
| 12 | + | |
| 13 | +## Now I will define the matrix N_mat[i,j]=m[i]*n[j] with 6 rows | |
| 14 | +## and 4 columns | |
| 15 | + | |
| 16 | +N_mat=m[:,np.newaxis]*n[np.newaxis,:] | |
| 17 | + | |
| 18 | +N_mat | |
| 19 | + | |
| 20 | +## which is very close to the mathematical definition. Can I achieve something | |
| 21 | +## similar in R? |
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