## Question

Asked By – Adam Greenhall

I’m working with data that has the data has 3 plotting parameters: x,y,c. How do you create a custom color value for a scatter plot?

Extending this example I’m trying to do:

```
import matplotlib
import matplotlib.pyplot as plt
cm = matplotlib.cm.get_cmap('RdYlBu')
colors=[cm(1.*i/20) for i in range(20)]
xy = range(20)
plt.subplot(111)
colorlist=[colors[x/2] for x in xy] #actually some other non-linear relationship
plt.scatter(xy, xy, c=colorlist, s=35, vmin=0, vmax=20)
plt.colorbar()
plt.show()
```

but the result is `TypeError: You must first set_array for mappable`

**Now we will see solution for issue: matplotlib colorbar for scatter **

## Answer

From the matplotlib docs on scatter 1:

cmap is only used if c is an array of floats

So colorlist needs to be a list of floats rather than a list of tuples as you have it now.

plt.colorbar() wants a mappable object, like the CircleCollection that plt.scatter() returns.

vmin and vmax can then control the limits of your colorbar. Things outside vmin/vmax get the colors of the endpoints.

How does this work for you?

```
import matplotlib.pyplot as plt
cm = plt.cm.get_cmap('RdYlBu')
xy = range(20)
z = xy
sc = plt.scatter(xy, xy, c=z, vmin=0, vmax=20, s=35, cmap=cm)
plt.colorbar(sc)
plt.show()
```

This question is answered By – matt