# numpy – Syntax in Python (.T)

## numpy – Syntax in Python (.T)

The `.T`

accesses the attribute `T`

of the object, which happens to be a NumPy array. The `T`

attribute is the transpose of the array, see the documentation.

Apparently you are creating random coordinates in the plane. The output of `multivariate_normal()`

might look like this:

```
>>> np.random.multivariate_normal([0, 0], [[1, 0], [0, 1]], 5)
array([[ 0.59589335, 0.97741328],
[-0.58597307, 0.56733234],
[-0.69164572, 0.17840394],
[-0.24992978, -2.57494471],
[ 0.38896689, 0.82221377]])
```

The transpose of this matrix is:

```
array([[ 0.59589335, -0.58597307, -0.69164572, -0.24992978, 0.38896689],
[ 0.97741328, 0.56733234, 0.17840394, -2.57494471, 0.82221377]])
```

which can be conveniently separated in `x`

and `y`

parts by sequence unpacking.

.T is just np.transpose().

Best of luck

#### numpy – Syntax in Python (.T)

Example

```
import numpy as np
a = [[1, 2, 3]]
b = np.array(a).T # ndarray.T The transposed array. [[1,2,3]] -> [[1][2][3]]
print(a=, a, nb=, b)
for i in range(3):
print( a=, a[0][i]) # prints 1 2 3
for i in range(3):
print( b=, b[i][0]) # prints 1 2 3
```