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" <boada@physics.tamu.edu> 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
boada@physics.tamu.edu


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