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After making changes to has_data I get the following:

(0.0, 400.0)
(0.0, 400.0)
(0.0, 400.0)

which is not correct it should be:

(300.0, 400.0)
(100.0, 400.0)
(100.0, 400.0)

-----Original Message-----
From: mat...@li...
[mailto:mat...@li...]On Behalf Of John
Hunter
Sent: Thursday, July 29, 2004 2:35 PM
To: Vineet Jain
Cc: matplotlib-users
Subject: Re: [Matplotlib-users] Settling y-axis scaling


>>>>> "Vineet" == Vineet Jain <vi...@al...> writes:

    Vineet> ok I think I've found the problem and a possible solution:

The order of the plots should not make a difference.  Clearly it does
so this is a bug.  Could you try editing matplotlib.axes.Axes.has_data
(on or around line 323 of axes.py) and replace it with

    def has_data(self):
        return (
            len(self._collections) +            
            len(self._images) +
            len(self._lines) +
            len(self._patches))>0

and see if this fixes the problem.  Ie, with this change, order of
plot commands should not affect the final ylim.

Thanks,
JDH


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>>>>> "Vineet" == Vineet Jain <vi...@al...> writes:

    Vineet> ok I think I've found the problem and a possible solution:

The order of the plots should not make a difference.  Clearly it does
so this is a bug.  Could you try editing matplotlib.axes.Axes.has_data
(on or around line 323 of axes.py) and replace it with

    def has_data(self):
        return (
            len(self._collections) +            
            len(self._images) +
            len(self._lines) +
            len(self._patches))>0

and see if this fixes the problem.  Ie, with this change, order of
plot commands should not affect the final ylim.

Thanks,
JDH

ok I think I've found the problem and a possible solution:

left, width       = 0.1, 0.8
x       = range(100)
closes1 = range(100, 200)
closes2 = range(200, 300)
closes3 = range(300, 400)
f = figure(1, facecolor='w', figsize=(10, 7), dpi=96)
rect2   = [left, 0.1, width, 0.8]
axMiddle = axes(rect2, axisbg='#f6f6f6')
axMiddle.yaxis.tick_left()
plot_day_summary2(axMiddle, closes3, closes3, closes3, closes3)
print axMiddle.get_ylim()
axMiddle.plot(x, closes1, color='r', linewidth=1)
print axMiddle.get_ylim()
axMiddle.plot(x, closes2, color='r', linewidth=1)
print axMiddle.get_ylim()

This code prints which is wrong:

(300.0, 400.0)
(100.0, 200.0)
(100.0, 300.0)

However when I move the plot_day_summary2 to the end like:

left, width       = 0.1, 0.8
x       = range(100)
closes1 = range(100, 200)
closes2 = range(200, 300)
closes3 = range(300, 400)
f = figure(1, facecolor='w', figsize=(10, 7), dpi=96)
rect2   = [left, 0.1, width, 0.8]
axMiddle = axes(rect2, axisbg='#f6f6f6')
axMiddle.yaxis.tick_left()
axMiddle.plot(x, closes1, color='r', linewidth=1)
print axMiddle.get_ylim()
axMiddle.plot(x, closes2, color='r', linewidth=1)
print axMiddle.get_ylim()
plot_day_summary2(axMiddle, closes3, closes3, closes3, closes3)
print axMiddle.get_ylim()

I get the correct value:

(100.0, 200.0)
(100.0, 300.0)
(100.0, 400.0)



-----Original Message-----
From: John Hunter [mailto:jdh...@ac...]
Sent: Thursday, July 29, 2004 11:17 AM
To: Vineet Jain
Subject: Re: [Matplotlib-users] Settling y-axis scaling


>>>>> "Vineet" == Vineet Jain <vi...@al...> writes:

    Vineet> That does not seem to work (or I'm doing something
    Vineet> wrong). The last call to the function just returns the min
    Vineet> max from the last plot.

Are you trying to get the min and max across several axes?
ax.get_ylim should return the limits for a single axes which
incorporates the data from several 'plot' commands on that axes.  If
you are trying to aggregate across axes, you'll need a different
approach.

If you could post some example code, it would probably help clarify.

JDH

>>>>> "Vineet" == Vineet Jain <vi...@al...> writes:

    Vineet> Ok Figured out the solution but still have a problem.
    Vineet> There is a function get_ylim which gets you the ymin and
    Vineet> ymax values. I'm plotting multiple lines on the same axes
    Vineet> object. However the get_ylim returns different values
    Vineet> after each plot. I'm currently having to do it a numbe rof
    Vineet> times and reset my min and max values. Is there a way to
    Vineet> just do it once where it accounts for all lines plotted on
    Vineet> the axis?

How about calling the function only once after you have added all the
lines to your plot?  Will this work for you?

JDH

Ok Figured out the solution but still have a problem.

There is a function get_ylim which gets you the ymin and ymax values. I'm
plotting multiple lines on the same axes object. However the get_ylim
returns different values after each plot. I'm currently having to do it a
numbe rof times and reset my min and max values. Is there a way to just do
it once where it accounts for all lines plotted on the axis?

Thanks,


-----Original Message-----
From: mat...@li...
[mailto:mat...@li...]On Behalf Of Vineet
Jain
Sent: Thursday, July 29, 2004 8:48 AM
To: matplotlib-users
Subject: [Matplotlib-users] Settling y-axis scaling


couple of questions on:
1. Is there any way to increase the y axis min by i% and y axis max by j%
where y axis min and y axis max are automatically calculated by matplotlib.
I have to plot many charts and if I calculate the min and max myself and
then use self.axMiddle.set_ylim() to set the values it takes twice as much
time to generate the chart.

2. Alternatively, is there a way to get what the current ymin and ymax
values are then I can use set_ylim to updated those







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couple of questions on:
1. Is there any way to increase the y axis min by i% and y axis max by j%
where y axis min and y axis max are automatically calculated by matplotlib.
I have to plot many charts and if I calculate the min and max myself and
then use self.axMiddle.set_ylim() to set the values it takes twice as much
time to generate the chart.

2. Alternatively, is there a way to get what the current ymin and ymax
values are then I can use set_ylim to updated those