matplotlib+numpy

[sersha]

My problem statement is the following:
Use NumPy and Matplotlib to draw a scatterplot of uniform random (x, y) values all drawn from the [0, 1] interval.

The following is what I have tried:

import matplotlib.pyplot as plt

import numpy as np

import random

# Fixing random state for reproducibility

np.random.seed(19680801)
 
N = 50

x = random.uniform(0, 1)
y = random.uniform(0, 1)

colors = random.uniform(0, 1)

#for ...

plt.scatter(x, y, s=area, c=colors, alpha=0.5)
plt.title('Exercise 2 - Drawing a plot')
plt.xlabel('x')
plt.ylabel('y')
plt.show()

The output of the above is my plot with a single large dot in the center.
For some reason I am only generating and plotting a single x,y pair.
I think I need a for loop but I lack knowledge of matplotlib+nump y.

Is anyone able to help me with this?

[s0up1]

Use list comprehension to generate a list of values!

```
x = [random.uniform( 0, 1) for x in range(100)]
y = [random.uniform( 0, 1) for x in range(100)]
```