Well I am doing a lot more than this simple example shows. Point is that
there are nine different points each with their own legend entry.
I could put it all out of the for loops, but it is all already written,
and I'd rather just fix the legend at the end than move sections of the
code around. I'm willing to do it, if that is the only choice, but I
wanted to ask before I commit my time.
Wouldn't it be a good (smart) thing for the code to lump all the points
with the same label together? This would be a great feature to be added IMO.
S
On 06/13/2012 03:01 PM, pybokeh wrote:
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...@physics.tamu.edu
<mailto:bo...@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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Dept. Physics and Astronomy
Texas A&M University
bo...@physics.tamu.edu <mailto:bo...@physics.tamu.edu>
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