Re: [Matplotlib-users] Scatter legend woes.

[pybokeh <py...@gm...>]

Are you trying to make 9 scatter plots?  In your for loop, if you are
trying to make a set of x values and a set of y values, then I think this
is wrong.  Since you didn't provide import statements I don't know which
rand() function you are using.  Assuming it is scipy.rand(), you will only
have one x value and one y value, not much of scatter chart with just one
point :-)

Otherwise, Mike's suggestion is valid.

Regards,
Daniel
On Jun 13, 2012 3:35 PM, "Steven Boada" <bo...@ph...> wrote:

> Whoops, I forgot to change the subject. Sorry list.
>
> List,
>
> I'm making a scatter plot using a for loop. Here's a simple example..
>
> for i in range(10):
>     x=rand()
>     y=rand()
>     scatter(x,y,label='point')
>
> legend()
> show()
>
>
> When you do this, you get a legend entry for every single point. In this
> case, I get 9 entries in my legend.
>
> Is there a way to only get a single entry? I have looked into creating
> the legends by hand, but I'm not having much luck. Googling, only turned
> up a single example of someone else with the same problem.
>
> Help me list, you're my only hope.
>
> Steven
>
> On 06/13/2012 01:33 PM, Eric Firing wrote:
> > On 06/13/2012 07:31 AM, jonasr wrote:
> >> Hi,
> >>
> >> im actually trying to make a countour plot Z=f(X,Y) from two variables
> X,Y .
> >> My Problem is that i have to use a logarithmic scale for the Z values.
> >> If i plot the data with the logarithmic scale it gets pretty ugly,
> because i
> >> have a lot of values which are zero,
> >> which means on the log scale the value goes to -inf.
> >> Here is an example what i mean
> >>
> >> http://www.imagebanana.com/view/qh1khpxp/example.png
> >>
> >> I acutally have no idea how to make the plot look better,
> >> maybe somebody has an idea ?
> > Use np.ma.masked_less to mask out values below some threshold before
> > taking the log.
> >
> > e.g.,
> >
> > import matplotlib.pyplot as plt
> > import numpy as np
> > x = np.arange(0, 1, 0.01)
> > y = np.arange(0, 8, 0.05)
> > X, Y = np.meshgrid(x, y)
> > Z = 10 ** (-5 + 11 * X * np.sin(Y))
> > Z = np.ma.masked_less(Z, 1e-4)
> > Zlog = np.ma.log10(Z)
> > CS = plt.contourf(X, Y, Zlog, levels=np.arange(-3, 5.01, 1.0),
> > extend='both')
> > plt.colorbar()
> >
> >
> >
> > Eric
> >
> >> thank you
> >
> >
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> --
> Steven Boada
> Dept. Physics and Astronomy
> Texas A&M University
> bo...@ph...
>
>
>
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