How to modify 2d Scatterplot to display color based off third array in csv file?
I am using Python and a CSV file. I am currently trying to modify the scatter plot(2d) below to change colors based on a third column in my csv file. After searching through multiple posts, I basically want to use a generic colormap (rainbow) and multiply my third array by the colormap in order to display different colors for each of the xy points. I think I can do everything from the ax.scatter function but I am not sure how to multiply each different x,y coordinate by the colormap and the third array number. It should look similar to a contour plot, but I would prefer a different colored scatter plot.
Here is the code I am using:
import matplotlib
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib.mlab as mlab
import numpy as np
r = mlab.csv2rec('test.csv')
fig = Figure(figsize=(6,6))
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
ax.set_title("X vs Y AVG",fontsize=14)
ax.set_xlabel("XAVG",fontsize=12)
ax.set_ylabel("YAVG",fontsize=12)
ax.grid(True,linestyle='-',color='0.75')
x = r.xavg #first column
y = r.yavg #second column
z = r.wtr #third column
ax.scatter(x,y,s=.2,c='b', marker = ',', cmap = ?);
Answer
check out the scatter line
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
fig = plt.figure(figsize=(6,6))
ax = fig.add_subplot(111)
ax.set_title("X vs Y AVG",fontsize=14)
ax.set_xlabel("XAVG",fontsize=12)
ax.set_ylabel("YAVG",fontsize=12)
ax.grid(True,linestyle='-',color='0.75')
x = np.random.random(30)
y = np.random.random(30)
z = np.random.random(30)
# scatter with colormap mapping to z value
ax.scatter(x,y,s=20,c=z, marker = 'o', cmap = cm.jet );
plt.show()
and it produces
