matplotlib-users Mailing List for matplotlib

The script works for me with matplotlib-1.2.1 both with Python2 and with Python3 with the MacOSX backend.
To rule out the usual culprit, is your Python3 installed as a framework?

Best,
-MIchiel.





----- Original Message -----
From: Scott Lasley <sl...@sp...>
To: "mat...@li..." <mat...@li...>
Cc: 
Sent: Thursday, June 6, 2013 4:50 AM
Subject: Re: [Matplotlib-users] key_press_events on macosx


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
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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()


 
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Sudheer Joseph 
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Ministry of Earth Sciences, Govt. of India
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