# Randn

How to sample numbers from the normal distribution.

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In [1]:

```
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
```

#### Randn¶

`np.random.randn()`

allows you to sample from the normal distribution. It can take an integer or a `shape`

for its input.

In [2]:

```
import plotly.plotly as py
import plotly.graph_objs as go
num_of_points = 200
normal_pts_x = np.random.randn(num_of_points)
normal_pts_y = np.random.randn(num_of_points)
trace1 = go.Scatter(
x=normal_pts_x,
y=normal_pts_y,
mode='markers',
marker = dict(
size=11,
color=[normal_pts_x[i] * normal_pts_y[i] for i in range(len(normal_pts_x))],
colorscale='Portland'
),
name='Normally Sampled Points'
)
py.iplot([trace1], filename='numpy-randn')
```

Out[2]:

In [2]:

```
help(np.random.randn)
```