Hi,
is there a way to adjust the marker color in a xy-plot in relation to
the value of a third parameter. Something as the following - not working
- example 1.
Example 2 is working but rather slow for large arrays.
cheers
Elmar
# example 1
import matplotlib.pyplot as plt
x = [1,2,3,4]
y
That's what ``scatter`` is intended for.
Basically, you want something like:
plt.scatter(x, y, c=z, marker='s')
plt.colorbar()
Note that you can also vary the markers by size based on an additional
parameter, as well.
Have a look at this example:
thanks for help,
finally I found the following solution
elmar
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
N = 200
x = np.linspace(0,1,N)
y = np.random.randn(N)
z = np.random.randn(N)*2+5
cm = mpl.cm.get_cmap('RdYlBu')
sc = plt.scatter(x, y, c=z, vmin=min(z),
On Fri, Oct 19, 2012 at 11:08 PM, elmar werling el...@net4werling.de wrote:
vmin=min(z), vmax=max(z)
A suggestion, when dealing with arrays, it is generally faster to use
the numpy function to compute the max and min, either np.max(z) or
z.max(), than the standard Python one.
On Fri, Oct 19, 2012 at 10:23 PM, Daπid davidmen...@gmail.com wrote:
On Fri, Oct 19, 2012 at 11:08 PM, elmar werling el...@net4werling.de wrote:
vmin=min(z), vmax=max(z)
A suggestion, when dealing with arrays, it is generally faster to use
the numpy function to compute the max and min, either
Am 19.10.2012 23:26, schrieb Damon McDougall:
Correct me if I'm wrong, but I don't even think you need them. I think
the default cmap behaviour is to normalise to the min and max of the
data.
yes, default cmap behaviour will normalise to the min and max of the
data.
