I have a data set for clusters . And the output seems something like this :-
1 [1,2]
2 [1,6]
1 [2,4]
Where 1,2 ... is the cluster id and [1,2]..so on are the points . So i want to plot the points x co-ordinate and y co-ordinate on both the axis and corresponding to that a point in graph depicting the cluster id as label and for different id the color of points should be different. How do i go about it?
Thanks
If one axis is the cluster id I don't get how you fit both the x and y coordinates onto the other axis. So I plotted the x,y on the x and y axis and used the cluster id as a label; you can swap which value goes into which axis, I guess:
import matplotlib.pyplot as plt
from ast import literal_eval
data = """1 [1,2]
2 [1,6]
1 [2,4]"""
def cluster_color(clusternum):
'''Some kind of map of cluster ID to a color'''
if clusternum == 1:
return [(1, 0,0)]
if clusternum == 2:
return [(0, 0, 1)]
else:
return [(0, 1,0)]
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
def datalines(pt):
'''Pick the coordinates and label out of this text format'''
label, xy = pt.split(' ')
xy = literal_eval(xy)
assert(len(xy) == 2)
return xy[0], xy[1], label
for pt in data.splitlines():
if len(pt) > 0:
x, y, cluster = datalines(pt)
ax.scatter(x, y, c= cluster_color(float(cluster)))
ax.text(x + .01, y + .01, cluster)
fig.show()
N.b.: if you have a lot of data, don't call scatter for each point separately; append x, y , cluster to three separate lists and scatter the lists.
colormap in matplotlib.