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 = ?);
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