slaps forehead...
Joe, you just won the "duh!" moment of the month award!
Cheers!
Ben Root
On Thu, Aug 28, 2014 at 10:18 PM, Joe Kington
wrote:
> Why not just use boolean indexing?
>
> E.g. to find the region that falls between 5 and 10, do "(z >=5) & (z <=
> 10)":
>
> In [1]: import numpy a
Joe and list,
This is off topic, but can you point me to good documentation on the use of '&'
as opposed to numpy.logical_and ?
Thanks,
Sterling
On Aug 28, 2014, at 7:18PM, Joe Kington wrote:
> Why not just use boolean indexing?
>
> E.g. to find the region that falls between 5 and 10, do "(
Why not just use boolean indexing?
E.g. to find the region that falls between 5 and 10, do "(z >=5) & (z <=
10)":
In [1]: import numpy as np
In [2]: x, y = np.mgrid[-10:10, -10:10]
In [3]: z = np.hypot(x, y)
In [4]: result = (z >= 5) & (z <= 10)
In [5]: result.astype(int)
Out[5]:
array([[0, 0
On 2014/08/28, 3:02 AM, Matthew Czesarski wrote:
> Hi Matplotlib Users!
>
>
>
> I have some 2-d arrays, which i am displaying with implot, and deriving
> contours for with contour. Easy - I'm just pulling them out of
> collections[0].get_paths() .
>
> However what's not easy is that I would like
You are asking for the twinx() feature:
http://matplotlib.org/examples/api/two_scales.html
On Thu, Aug 28, 2014 at 9:24 AM, Shantha Kumara wrote:
> Hi All,
>
> Thank you so much for your help, It really worked for me.
>
>
> I need one more favor,
>
>
> I have ploted the graph with 2 Y-axes
>
>
That stuff is done in the deep underbelly of matplotlib and isn't exposed
to the user. It is done as part of the rendering process in AGG or
whichever other backend is performing the render. I have done something
very similar to what you are asking for my job, and while I can't share the
code, I ca
Hi All,
Thank you so much for your help, It really worked for me.
I need one more favor,
I have ploted the graph with 2 Y-axes
Here is the code
lns1 = ax1.plot(x1, y1, 'r-o',label=LY1,markersize=4)
ax1 = self.set_ylim(ax1,y1,label=LY1)
lns2 = ax2.plot(x2, y2, 'b-o',l
Hi Matplotlib Users!
I have some 2-d arrays, which i am displaying with implot, and deriving
contours for with contour. Easy - I'm just pulling them out of
collections[0].get_paths() .
However what's not easy is that I would like to recover a 1-0 or True-False
array of the array values (pixe