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...@physics.tamu.edu
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Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
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