Astrum - 1 month ago 3x

Python Question

I'm trying to plot a large array of vectors using pyplot. Right now I've got

`import matplotlib.pyplot as plt`

import numpy as np

import operator

t = np.arange(0, np.pi, .01)

def pos1(t):

x1 = .72 * np.cos(13*t)

y1 = .72 * np.sin(13*t)

return x1, y1

def pos2(t):

x2 = np.cos(8*t)

y2 = np.sin(8*t)

return x2, y2

def vec(t):

x1 = pos1(t)[0]

x2 = pos2(t)[0]

y1 = pos1(t)[1]

y2 = pos2(t)[1]

x = np.subtract(x1, x2)

y = np.subtract(y1, y2)

return x, y

X = pos2(t)[0]

Y = pos2(t)[1]

U = vec(t)[0]

V = vec(t)[1]

plot1 = plt.figure()

plt.quiver(X, Y, U, V, headlength=4)

plt.show(plot1)

Where

`pos1(t)`

`pos2(t)`

`vec(t)`

`([a,...,z],[a1,...,z1])`

This plot gives me something close to what I want, but the vector lengths are all wrong. the two functions,

`pos1(t),pos2(t)`

`vec(t)`

Answer

`quiver`

handles length of arrows. It seems `quiver`

is not what you need.

**Using regular plot:**

```
import numpy as np
import matplotlib.pyplot as plt
t = np.arange(0, 2 * np.pi, 0.01)
x0 = np.sin(8 * t)
y0 = np.cos(8 * t)
x1 = 0.72 * np.sin(13 * t)
y1 = 0.72 * np.cos(13 * t)
data = np.column_stack((x0, x1, y0, y1)).reshape(-1, 2)
plt.plot(*data, color='black')
plt.gca().set_aspect('equal', adjustable='box')
plt.show()
```

**Result:**

Source (Stackoverflow)

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