Does this code work for anyone else?
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
n = 10
x = np.random.standard_normal(n)
y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
xmin = x.min()
xmax = x.max()
ymin = y.min()
ymax = y.max()
plt.hexbin(x,y,
Ok, fair enough. Let's use that:
--
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
n = 10
x = np.random.standard_normal(n)
y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
xmin = x.min()
xmax = x.max()
ymin = y.min()
ymax = y.max()
Hello,
I've been having fun using hexbin, but I'd like to have consistent bin sizes
and plot ranges for different sets of data. What I'm finding is that the bin
sizes are primarily determined by the input data mins and maxes. For
instance, I'm plotting data with something like:
# import
On Wed, Jun 17, 2009 at 5:31 PM, Alexandar Hansenviochem...@gmail.com wrote:
Hello,
I've been having fun using hexbin, but I'd like to have consistent bin sizes
and plot ranges for different sets of data. What I'm finding is that the bin
sizes are primarily determined by the input data mins
