I am using Python matplotlib. i want to superimpose scatter plots. I know how to superimpose continuous line plots with commands:

```
>>> plt.plot(seriesX)
>>> plt.plot(Xresampl)
>>> plt.show()
```

But it does not seem to work the same way with scatter. Or maybe using plot() with a further argument specifying line style. How to proceed? thanks

You simply call the `scatter`

function twice, `matplotlib`

will superimpose the two plots for you. You might want to specify a color, as the default for all scatter plots is blue. This is perhaps why you were only seeing one plot.

```
import numpy as np
import pylab as plt
X = np.linspace(0,5,100)
Y1 = X + 2*np.random.random(X.shape)
Y2 = X**2 + np.random.random(X.shape)
plt.scatter(X,Y1,color='k')
plt.scatter(X,Y2,color='g')
plt.show()
```

If you wish to continue using plot you can use the axis object returned by subplots:

```
import numpy as np
import pylab as plt
X = np.linspace(0,5,100)
Y1 = X + 2*np.random.random(X.shape)
Y2 = X**2 + np.random.random(X.shape)
fig, ax = plt.subplots()
ax.plot(X,Y1,'o')
ax.plot(X,Y2,'x')
plt.show()
```

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