I just used numpy.loadtxt('filename', usecols=(0,)) to load a csv with the following format:
x,y,z
1.1,2.2,3.3
5.5,1.45,6.77
(There are ~1M lines). I'd like to make a scatterplot. I searched the web and found numpy.meshgrid and mlab.surf but I'm not sure what to do. Please point me in the right direction.
I think you can use matplotlib, it's very powerful, and widely used, most importantly, it has good document and is easy to use.
Hope helps!
There is a very simple example from here.
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
def randrange(n, vmin, vmax):
return (vmax-vmin)*np.random.rand(n) + vmin
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
n = 100
for c, m, zl, zh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
xs = randrange(n, 23, 32)
ys = randrange(n, 0, 100)
zs = randrange(n, zl, zh)
ax.scatter(xs, ys, zs, c=c, marker=m)
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()
You just need to parse your data instead of using randrange.
