In [3]:
import numpy as np
import vaex as vx
import pylab
%matplotlib inline
#server = vx.server("localhost")
#names = server.list_datasets()
In [5]:
server = vx.server("localhost", port=9000)
list = server.datasets()
print list
ds = list[0]
In [11]:
reload(vx)
reload(vx.dataset)
server = vx.server("localhost", port=9000)
list = server.datasets()
ds = list[0]
subspace = ds("x", "y")
limits = subspace.limits_sigma(square=True)
print limits
grid = subspace.histogram(limits=limits, weight="10 + sqrt(x**2+y**2)")
subspace.figlarge()
subspace.plot(np.log(grid+1), limits=limits, cmap="afmhot")
In [16]:
import ipy_autoreload
%load_ext autoreload
%autoreload 2
In [19]:
%aimport vaex
%aimport vaex.dataset
In [20]:
%autoreload?
In [18]:
import autoreloadload
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