On 6/14/07, Stephen George <[EMAIL PROTECTED]> wrote:
So my questions.
1) Is there a way to get the indexes (not the values) of the portion of
the line actually showing on screen
2) Is there a way to get a copy of the portion of the data displayed on
screen (in a new array) ?
3) Is there a better way of linking psd so it performs the spectrum
analysis only on the portion of data on screen?
I just updated the span selector example in svn to show you how to do
this. You select a region in the upper graph with a mouse drag, and
it plots the detail of the selected region in the lower graph. You
should be able to modify this to plot the psd of the selected region,
etc....
#!/usr/bin/env python
"""
The SpanSelector is a mouse widget to select a xmin/xmax range and plot the
detail view of the selected region in the lower axes
"""
import numpy as npy
from pylab import figure, show
from matplotlib.widgets import SpanSelector
fig = figure(figsize=(8,6))
ax = fig.add_subplot(211, axisbg='#FFFFCC')
x = npy.arange(0.0, 5.0, 0.01)
y = npy.sin(2*npy.pi*x) + 0.5*npy.random.randn(len(x))
ax.plot(x, y, '-')
ax.set_ylim(-2,2)
ax.set_title('Press left mouse button and drag to test')
ax2 = fig.add_subplot(212, axisbg='#FFFFCC')
line2, = ax2.plot(x, y, '-')
def onselect(xmin, xmax):
indmin, indmax = npy.searchsorted(x, (xmin, xmax))
indmax = min(len(x)-1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
# set useblit True on gtkagg for enhanced performance
span = SpanSelector(ax, onselect, 'horizontal', useblit=False,
rectprops=dict(alpha=0.5, facecolor='red') )
show()
*
*Thanks for your help
Steve
-------------------------------------------------------------------------
This SF.net email is sponsored by DB2 Express
Download DB2 Express C - the FREE version of DB2 express and take
control of your XML. No limits. Just data. Click to get it now.
http://sourceforge.net/powerbar/db2/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
#!/usr/bin/env python
"""
The SpanSelector is a mouse widget to select a xmin/xmax range and plot the
detail view of the selected region in the lower axes
"""
import numpy as npy
from pylab import figure, show
from matplotlib.widgets import SpanSelector
fig = figure(figsize=(8,6))
ax = fig.add_subplot(211, axisbg='#FFFFCC')
x = npy.arange(0.0, 5.0, 0.01)
y = npy.sin(2*npy.pi*x) + 0.5*npy.random.randn(len(x))
ax.plot(x, y, '-')
ax.set_ylim(-2,2)
ax.set_title('Press left mouse button and drag to test')
ax2 = fig.add_subplot(212, axisbg='#FFFFCC')
line2, = ax2.plot(x, y, '-')
def onselect(xmin, xmax):
indmin, indmax = npy.searchsorted(x, (xmin, xmax))
indmax = min(len(x)-1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
# set useblit True on gtkagg for enhanced performance
span = SpanSelector(ax, onselect, 'horizontal', useblit=False,
rectprops=dict(alpha=0.5, facecolor='red') )
show()
-------------------------------------------------------------------------
This SF.net email is sponsored by DB2 Express
Download DB2 Express C - the FREE version of DB2 express and take
control of your XML. No limits. Just data. Click to get it now.
http://sourceforge.net/powerbar/db2/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
