matplotlib-users Mailing List for matplotlib (Page 4)

On Jun 5, 2013, at 2:51 PM, Matt Terry <mat...@gm...> wrote:

> Hi,
> I'm working on a TextBox widget and have run into problems registering key_press_events with the macosx backend.  button_press_events work, but key_press_events fail to trigger.  If I change backends to tkAgg, everything triggers as expected.
> 
> Can anyone reproduce this?
> Run the following script; click the figure and bang on the keyboard.  Mouse clicks and keyboard clicks should echo on the screen.  I'm using mpl 1.2.1 with Anaconda.
> 
> -matt
> 
> import pylab as plt
> plt.switch_backend('macosx')
> 
> 
> def print_event(event):
>     print 'event', event
> 
> ax = plt.subplot(111)
> fig = ax.figure
> 
> x = range(10)
> ax.plot(x, x)
> # mouse clicks work on tkAgg & macosx
> fig.canvas.mpl_connect('button_press_event', print_event)
> # key presses only work on tkAgg
> fig.canvas.mpl_connect('key_press_event', print_event)
> 
> plt.show()

key_press_events in the script fail on my mac running OS X 10.8, python 3.3.2 from python.org and with both matplotlib 1.2.1 installed with pip and matplotlib-1.3.0rc2 from the matplotlib.org download page

They do work with the latest matplotlib 1.4 from github

hth,
Scott

Hi, I have found minor graphical issues while using the spanselector, cursor
and fill_between widgets, which I would like to share with you.

All of them, can be experienced in this code (which I took from the
matplolib example)

"""
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 np
import matplotlib.pyplot as plt
from matplotlib.widgets import SpanSelector
import matplotlib.widgets as widgets

Fig = plt.figure(figsize=(8,6))
Fig.set_facecolor('w')
Fig.set
Ax = Fig.add_subplot(211)


x = np.arange(0.0, 5.0, 0.01)
y = np.sin(2*np.pi*x) + 0.5*np.random.randn(len(x))

Ax.plot(x, y, '-')
Ax.set_ylim(-2,2)
Ax.set_title('Press left mouse button and drag to test')

RegionIndices = []

ax2 = Fig.add_subplot(212)
line2, = ax2.plot(x, y, '-')


def onselect(xmin, xmax):
    if len(RegionIndices) == 2:
        Ax.fill_between(x[:], 0.0, y[:],facecolor='White',alpha=1)
        del RegionIndices[:]

                    
    indmin, indmax = np.searchsorted(x, (xmin, xmax))
    indmax = min(len(x)-1, indmax)
    
    Ax.fill_between(x[indmin:indmax], 0.0,
y[indmin:indmax],facecolor='Blue',alpha=0.30)
    
    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()
    
    RegionIndices.append(xmin)
    RegionIndices.append(xmax)

# set useblit True on gtkagg for enhanced performance
span = SpanSelector(Ax, onselect, 'horizontal', useblit =
True,rectprops=dict(alpha=0.5, facecolor='purple') )
cursor = widgets.Cursor(Ax, color="red", linewidth = 1, useblit = True)

plt.show()

I wonder if there is some way to avoid these two small issues:

1) You can see that when you select a region the spanselector box (purple)
glitches. In this code the effect is barely noticeable but on plots with
many lines is quite annoying (I have tried all the trueblit combinations to
not effect)

2) In this code when you select a region, the area in the upper plot between
the line and the horizontal axis is filled in blue. When you select a new
region the old area is filled in white (to clear it) and the new one is
filled with blue again. However, when I do that the line plotted, as well
as, the horizontal axis, become thicker... Is there a way to clear such a
region (generated with fill_between) without this happening... Or is it
necessary to replot the graph? Initially, I am  against doing this since I
have a well structured code and importing all the data again into the
spanselector method seems a bit messy... Which is the right way in python to
delete selected regions of a plot?

Any advice would be most welcome




--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Graphics-issues-when-combining-matplotlib-widgets-Spanselector-cursor-fill-between-tp41212.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,
I'm working on a TextBox widget and have run into problems registering
key_press_events with the macosx backend.  button_press_events work, but
key_press_events fail to trigger.  If I change backends to tkAgg,
everything triggers as expected.

Can anyone reproduce this?
Run the following script; click the figure and bang on the keyboard.  Mouse
clicks and keyboard clicks should echo on the screen.  I'm using mpl 1.2.1
with Anaconda.

-matt

import pylab as plt
plt.switch_backend('macosx')


def print_event(event):
    print 'event', event

ax = plt.subplot(111)
fig = ax.figure

x = range(10)
ax.plot(x, x)
# mouse clicks work on tkAgg & macosx
fig.canvas.mpl_connect('button_press_event', print_event)
# key presses only work on tkAgg
fig.canvas.mpl_connect('key_press_event', print_event)

plt.show()

Thank you Verymuch for quick help,Paul.
with best regards,
Sudheer
From: Paul Hobson <pmh...@gm...>
>To: Sudheer Joseph <sud...@ya...> 
>Cc: "mat...@li..." <mat...@li...> 
>Sent: Wednesday, 5 June 2013 9:57 PM
>Subject: Re: [Matplotlib-users] time series
> 
>
>
>On Wed, Jun 5, 2013 at 9:13 AM, Sudheer Joseph <sud...@ya...> wrote:
>
>Dear Users,
>>                 Is there any other method in matplotlib to get the plot similar to the one there in below link?
>>
>>
>>http://dsnra.jpl.nasa.gov/software/Python/scikits/lib.plotting.examples.html
>>I tried using this package but get below error.
>>
>>
>>sjo@sjo-ltp../hourly_rama~$ python ts.py 
>>Traceback (most recent call last):
>>  File "ts.py", line 12, in <module>
>>    fsp = fig.add_tsplot(111)
>>  File "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py", line 1284, in add_tsplot
>>    return add_generic_subplot(self, *args, **kwargs)
>>  File "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py", line 177, in add_generic_subplot
>>    if key in figure_instance._seen:
>>AttributeError: 'TimeSeriesFigure' object has no attribute '_seen'
>>
>>
>>########################################
>>
>>
>>import numpy as np
>>import matplotlib.pyplot as plt
>>import scikits.timeseries as ts
>>import scikits.timeseries.lib.plotlib as tpl
>>from scikits.timeseries.lib.moving_funcs import mov_average_expw
>>
>>
>># generate some random data
>>data = np.cumprod(1 + np.random.normal(0, 1, 300)/100)
>>series = ts.time_series(data,
>>                       start_date=ts.Date(freq='M', year=1982, month=1))
>>fig = tpl.tsfigure()
>>fsp = fig.add_tsplot(111)
>>fsp.tsplot(series, '-', mov_average_expw(series, 40), 'r--')
>>plt.show()
>>
>>
>
>
>Pandas has excellent time series handling and plotting capabilities. http://pandas.pydata.org/pandas-docs/stable/timeseries.html
>
>http://pandas.pydata.org/pandas-docs/stable/visualization.html
>
>
>

On Wed, Jun 5, 2013 at 9:13 AM, Sudheer Joseph <sud...@ya...>wrote:

> Dear Users,
>                  Is there any other method in matplotlib to get the plot
> similar to the one there in below link?
>
>
> http://dsnra.jpl.nasa.gov/software/Python/scikits/lib.plotting.examples.html
> I tried using this package but get below error.
>
> sjo@sjo-ltp../hourly_rama~$ python ts.py
> Traceback (most recent call last):
>   File "ts.py", line 12, in <module>
>     fsp = fig.add_tsplot(111)
>   File
> "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py",
> line 1284, in add_tsplot
>     return add_generic_subplot(self, *args, **kwargs)
>   File
> "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py",
> line 177, in add_generic_subplot
>     if key in figure_instance._seen:
> AttributeError: 'TimeSeriesFigure' object has no attribute '_seen'
>
> ########################################
>
> import numpy as np
> import matplotlib.pyplot as plt
> import scikits.timeseries as ts
> import scikits.timeseries.lib.plotlib as tpl
> from scikits.timeseries.lib.moving_funcs import mov_average_expw
>
> # generate some random data
> data = np.cumprod(1 + np.random.normal(0, 1, 300)/100)
> series = ts.time_series(data,
>                        start_date=ts.Date(freq='M', year=1982, month=1))
> fig = tpl.tsfigure()
> fsp = fig.add_tsplot(111)
> fsp.tsplot(series, '-', mov_average_expw(series, 40), 'r--')
> plt.show()
>
>
Pandas has excellent time series handling and plotting capabilities.
http://pandas.pydata.org/pandas-docs/stable/timeseries.html
http://pandas.pydata.org/pandas-docs/stable/visualization.html

Dear Users,
                 Is there any other method in matplotlib to get the plot similar to the one there in below link?

http://dsnra.jpl.nasa.gov/software/Python/scikits/lib.plotting.examples.html

I tried using this package but get below error.


sjo@sjo-ltp../hourly_rama~$ python ts.py 
Traceback (most recent call last):
  File "ts.py", line 12, in <module>
    fsp = fig.add_tsplot(111)
  File "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py", line 1284, in add_tsplot
    return add_generic_subplot(self, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/scikits.timeseries-0.91.3-py2.7-linux-x86_64.egg/scikits/timeseries/lib/plotlib.py", line 177, in add_generic_subplot
    if key in figure_instance._seen:
AttributeError: 'TimeSeriesFigure' object has no attribute '_seen'

########################################

import numpy as np
import matplotlib.pyplot as plt
import scikits.timeseries as ts
import scikits.timeseries.lib.plotlib as tpl
from scikits.timeseries.lib.moving_funcs import mov_average_expw

# generate some random data
data = np.cumprod(1 + np.random.normal(0, 1, 300)/100)
series = ts.time_series(data,
                       start_date=ts.Date(freq='M', year=1982, month=1))
fig = tpl.tsfigure()
fsp = fig.add_tsplot(111)
fsp.tsplot(series, '-', mov_average_expw(series, 40), 'r--')
plt.show()


 
***************************************************************
Sudheer Joseph 
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21, IDA Jeedeemetla P.O.
Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:sjo...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************

On Tue, Jun 4, 2013 at 3:58 AM, trendelkamp
<tre...@ze...>wrote:

> Hi,
>
> there is a minor bug in the axes.twiny() function.  Apparently the
> parent axes xlim() values are not copied.
> Example:
>
> from numpy import *
> import matplotlib.pyplot as plt
>
> x=linspace(-2.0, 2.0, 100)
> y=x**2
>
> fig=plt.figure()
> ax1=fig.add_subplot(111)
> ax1.plot(x, y)
>
> ax2=ax1.twiny()
> ax1.get_xlim() --> (-2.0, 2.0)
> ax2.get_xlim() --> (0.0, 1.0)
>
> It is simple to fix by hand, but I do not think that this is the desired
> behavior.
>
>
I can see the argument for copying the x limits, but let's dig further
here.  Should we also copy the autoscalex switch?  The x-axis
ticks/tickers/tick formatters?  Right now, the way it works, the x-axis in
the new axes object is set up just like any other axes, with only the
y-axis properties tied together.  I personally prefer simplicity and
consistency over "magic". Every time I make an axes, it is set up the same
way.

We are about ready to re-examine our limit handling code soon, so this is a
good question to ask in that light. One of the things we are looking to do
is to have a concept of "null limits" (in other words, limits that have yet
to be explicitly set).  It may make sense at that point to consider such
behaviors as what you suggest.

Cheers!
Ben Root

Hi,

there is a minor bug in the axes.twiny() function.  Apparently the 
parent axes xlim() values are not copied.
Example:

from numpy import *
import matplotlib.pyplot as plt

x=linspace(-2.0, 2.0, 100)
y=x**2

fig=plt.figure()
ax1=fig.add_subplot(111)
ax1.plot(x, y)

ax2=ax1.twiny()
ax1.get_xlim() --> (-2.0, 2.0)
ax2.get_xlim() --> (0.0, 1.0)

It is simple to fix by hand, but I do not think that this is the desired 
behavior.

Thanks,

Benjamin

Have you tried setting the `LC_ALL` to `en_US` before starting up Python?

Mike

On 06/03/2013 09:10 AM, Clément Mayet wrote:
>
> Yes, I've tried this :
> locale.setlocale(locale.LC_ALL,'en_US')
> mpl.rcParams['axes.formatter.use_locale'] = True
>
> But it has no effect.
>
>
> 2013/6/3 Skip Montanaro <sk...@po... <mailto:sk...@po...>>
>
>     > In my mpl.rcParams, 'axes.formatter.use_locale' is set to False.
>
>     Have you tried setting this value to True?
>
>     Skip
>
>
>
>
> ------------------------------------------------------------------------------
> Get 100% visibility into Java/.NET code with AppDynamics Lite
> It's a free troubleshooting tool designed for production
> Get down to code-level detail for bottlenecks, with <2% overhead.
> Download for free and get started troubleshooting in minutes.
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>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Yes, I've tried this :
locale.setlocale(locale.LC_ALL,'en_US')
mpl.rcParams['axes.formatter.use_locale'] = True

But it has no effect.


2013/6/3 Skip Montanaro <sk...@po...>

> > In my mpl.rcParams, 'axes.formatter.use_locale' is set to False.
>
> Have you tried setting this value to True?
>
> Skip
>

> In my mpl.rcParams, 'axes.formatter.use_locale' is set to False.

Have you tried setting this value to True?

Skip

Hi all,

I would like to know how to set locale settings for matplotlib.
When I use the plot_date function, labels are in french (my system's
default locale). I would like english. I tried to set locale and it works
ok with strftime :

import locale
print(locale.getlocale())
('fr_FR', 'UTF-8')
mydate=dates.datetime.date(1950,1,15)
mydate.strftime('%A %d %B %Y')
Out[19]: 'dimanche 15 janvier 1950'


locale.setlocale(locale.LC_ALL,'en_US')
Out[21]: 'en_US'
mydate.strftime('%A %d %B %Y')
Out[22]: 'Sunday 15 January 1950'


But this has no effect on the plot_date results...

In my mpl.rcParams, 'axes.formatter.use_locale' is set to False.

How can I set locale configuration for matplotlib ?

Any advice welcome !

Thank you !

Clement

Hi Pierre, 

Thanks for asking on the ML for me :-) 

I dived into the code and came up with a PR (link at the end)
In short, in the constructor of Ticks , self.gridOn is set to the value of rcParam.axes.grid regardless 
of wether the Ticks is Major or Minor.

I proposed one fix, but I'm not sure it is the right one and will wait for feedback.
Also My PR will probably conflict with a bigger one so I suppose I won't be in the priority list.

Thanks, 

-- 
Matthias
(Pierre, BTW, nice blog post.)

https://github.com/matplotlib/matplotlib/pull/2110



Le 3 juin 2013 à 09:09, Pierre Haessig a écrit :

> Le 31/05/2013 13:15, Pierre Haessig a écrit :
>> Would it make sense to add also grid.major.* and grid.minor.* (as it
>> already exists for xticks) ?
> any feedback ?
> -- 
> Pierre
> 
> ------------------------------------------------------------------------------
> Get 100% visibility into Java/.NET code with AppDynamics Lite
> It's a free troubleshooting tool designed for production
> Get down to code-level detail for bottlenecks, with <2% overhead.
> Download for free and get started troubleshooting in minutes.
> http://p.sf.net/sfu/appdyn_d2d_ap2
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Le 31/05/2013 13:15, Pierre Haessig a écrit :
> Would it make sense to add also grid.major.* and grid.minor.* (as it
> already exists for xticks) ?
any feedback ?
-- 
Pierre