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From: Scott H. <st...@co...> - 2012-08-15 15:37:06
|
Hello, I'm trying to modify the following script to no avail: http://matplotlib.github.com/examples/axes_grid/demo_colorbar_with_inset_locator.html I'd like to have a white background behind the inset colorbar that adjusts automatically to figure resizing. I'm thinking of doing this by adding a Rectangle patch with the appropriate axes coordinates. What's the easiest way get those coordinates (sufficiently big to include the ticklabels) & draw the patch? Thanks, -- --------------- Scott T. Henderson http://www.geo.cornell.edu/eas/gstudent/sth54/contact.html |
|
From: David G. <da...@we...> - 2012-08-15 13:30:32
|
I'm running: Matplotlib 1.1.0 wxPython 2.9.2.4 osx-carbon (classic) Python 2.6 on Mac OSX 10.6.8 On Aug 15, 2012, at 5:17 AM, Benjamin Root wrote: > > > On Wednesday, August 15, 2012, David Grudoski wrote: > Hi All, > I've encountered this problem with the both NavigationToolbar2Wx and the NavigationToolbar2WxAgg. > When I click the Zoom or Pan button the button disappears. The functionality is maintained so if a click the location that the button used to be displayed at the toggle action still works its just that the button is no longer displayed. > Can any one help me fix this? > Thanks > David > > Which version of matplotlib are you using? > > Ben Root |
|
From: mogliii <mo...@gm...> - 2012-08-15 13:09:22
|
<html>
<head>
<meta content="text/html; charset=ISO-8859-1"
http-equiv="Content-Type">
</head>
<body bgcolor="#FFFFFF" text="#000000">
<div class="moz-cite-prefix">On 15/08/2012 09:56, Mogliii wrote:<br>
</div>
<blockquote cite="mid:502...@gm..." type="cite">
<meta content="text/html; charset=ISO-8859-1"
http-equiv="Content-Type">
I get the attached result. The \texttt{} is rendered differently
by matplotlib and latex.<br>
<br>
I am using the default latex fonts, and below is my preamble.<br>
<br>
<meta http-equiv="content-type" content="text/html;
charset=ISO-8859-1">
rc('font', **{'family':'serif', 'serif':['Computer Modern
Roman']})<br>
params = {'backend': 'pdf',<br>
'axes.labelsize': 12,<br>
'text.fontsize': 12,<br>
'legend.fontsize': 12,<br>
'xtick.labelsize': 10,<br>
'ytick.labelsize': 10,<br>
'text.usetex': True,<br>
'figure.figsize': fig_size,<br>
'axes.unicode_minus': True}<br>
matplotlib.rcParams.update(params)<br>
<br>
<br>
<br>
What do I have to change to match the font?<br>
</blockquote>
Found the solution.<br>
The default font of matplotlib is Courier, but LaTeX rendered with
Computer Modern Typewriter<br>
<br>
Changing the first line makes matplotlib use the same font.<br>
<pre class="lang-tex prettyprint"><code><span class="pln">rc</span><span class="pun">(</span><span class="pln">'font', **</span><span class="pun">{</span><span class="pln">'family':'serif', 'serif':</span><span class="pun">[</span><span class="pln">'Computer Modern Roman'</span><span class="pun">]</span><span class="pln">,
'monospace': </span><span class="pun">[</span><span class="pln">'Computer Modern Typewriter'</span><span class="pun">]})</span></code></pre>
</body>
</html>
|
|
From: Benjamin R. <ben...@ou...> - 2012-08-15 12:17:17
|
On Wednesday, August 15, 2012, David Grudoski wrote: > Hi All, > I've encountered this problem with the both NavigationToolbar2Wx and the > NavigationToolbar2WxAgg. > When I click the Zoom or Pan button the button disappears. The > functionality is maintained so if a click the location that the button used > to be displayed at the toggle action still works its just that the button > is no longer displayed. > Can any one help me fix this? > Thanks > David Which version of matplotlib are you using? Ben Root |
|
From: Jesper L. <jes...@gm...> - 2012-08-15 09:40:23
|
Hi Matplotlib users I have an application where performance is critical and matplotlib is the performance bottleneck. I am making a lot of figures using the same basic setup of the figure. And from my profiling I can see that this basic setup accounts for most of the CPU time. Let us say that I make a given figure including some axes. My questions are: 1. Can I make a copy of this figure including axes (copy.deepcopy does not work on Figure objects) and use the copy for plotting on? 2. And how? Should I use the frozen method somehow? I did do something similar some years back. But at the time I removed the stuff I had drawn on the figure. I would like to avoid this for two reasons: 1) Thread safety, I must be able to draw figures in several simultaneous threads and 2) I really had to go into some low-level details in matplotlib (not a show-stopper, but for maintenance reasons I would like to keep the code as clear as possible). Best regards, Jesper |
|
From: Mogliii <mo...@gm...> - 2012-08-15 08:57:00
|
I get the attached result. The \texttt{} is rendered differently by
matplotlib and latex.
I am using the default latex fonts, and below is my preamble.
rc('font', **{'family':'serif', 'serif':['Computer Modern Roman']})
params = {'backend': 'pdf',
'axes.labelsize': 12,
'text.fontsize': 12,
'legend.fontsize': 12,
'xtick.labelsize': 10,
'ytick.labelsize': 10,
'text.usetex': True,
'figure.figsize': fig_size,
'axes.unicode_minus': True}
matplotlib.rcParams.update(params)
What do I have to change to match the font?
|
|
From: David G. <da...@we...> - 2012-08-15 06:16:01
|
Hi All,
I've encountered this problem with the both NavigationToolbar2Wx and the NavigationToolbar2WxAgg.
When I click the Zoom or Pan button the button disappears. The functionality is maintained so if a click the location that the button used to be displayed at the toggle action still works its just that the button is no longer displayed.
Can any one help me fix this?
Thanks
David
Here's the code that demonstrated the problem"
######################################
##### Start of Code #################
######################################
#!/usr/bin/env python
# encoding: UTF-8
"""
Basic wxPython App w DrawPanel.py
"""
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
import os
import time
import numpy as np
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import Toolbar, FigureCanvasWxAgg
from matplotlib.figure import Figure
import pylab as plt
import wx
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg
class DrawPanel(wx.Panel):
""" This class constructs a Matplotlib figure and canvas to allow for plots. """
def __init__(self, parent):
wx.Panel.__init__(self, parent, -1)
#Create the widgets
self.figure = Figure(figsize=(1,1))
self.canvas = FigureCanvasWxAgg(self, -1, self.figure)
self.toolbar = NavigationToolbar2WxAgg(self.canvas)
sizer = wx.BoxSizer(wx.VERTICAL)
# add to sizer allows resizing
sizer.Add(self.toolbar, 0, wx.LEFT|wx.TOP)
sizer.Add(self.canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
self.SetSizer(sizer)
self.Fit()
# plot some data
self.x=np.arange(0,10,.1)
self.y=plt.sin(self.x)
self.init_plot()
def init_plot(self):
self.figure.clf()
self.ax = self.figure.gca()
self.ax.plot(self.x, self.y)
self.canvas.draw()
########################################################################
class MainFrame(wx.Frame):
"""This is the Main Frame"""
#----------------------------------------------------------------------
def __init__(self):
"""Constructor"""
wx.Frame.__init__(self, None, title="Basic wxPython App w DrawPanel",size=(800,600))
# Create StatusBar
self.sb=self.CreateStatusBar()
self.SetStatusText('Basic wxPython App w DrawPanel')
#------------------------------
self.Freeze() # need this to prevent flicker during plot resize/redraw
self.mainpanel = DrawPanel(self)
self.Layout()
self.Thaw()
self.Show()
#----------------------------------------------------------------------
if __name__ == "__main__":
app = wx.App(False)
frame = MainFrame()
app.MainLoop()
######################################
##### End of Code #################
######################################
|
|
From: Eric F. <ef...@ha...> - 2012-08-15 02:11:14
|
On 2012/08/14 3:15 PM, Damien Irving wrote:
> I've been plotting timeseries data using the matplotlib.dates module and
> have come across an issue when using it in conjunction with the subplot
> command.
>
> For figures with greater than one subplot in a particular column, the
> time (or x) axis ticks and their labels are only printed on the final
> subplot that is plotted, and are missing on all other subplots in that
> column (see example code below). The only exception is when the time
> axis is identical for each plot in the column (you can test this by
> editing my example code at ###) - then all time axis ticks and their
> labels are displayed correctly.
>
> Is this a bug in the subplot source code, or am I missing something?
You are missing something, but it is something that is quite
non-intuitive and easy to miss: Locators can't be shared among axes.
The set_major_locator() method assigns its axis to that Locator,
overwriting any axis that was previously assigned.
The solution is to make a new Locator instance for each axis that needs one.
Eric
>
>
> from pylab import *
> from matplotlib.dates import YEARLY, DateFormatter, rrulewrapper,
> RRuleLocator, drange
> import datetime
>
> # tick every 5th easter #
> rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
> loc = RRuleLocator(rule)
> formatter = DateFormatter('%m/%d/%y')
>
> # data for subplot 1 #
> date1 = datetime.date( 1952, 1, 1 )
> date2 = datetime.date( 2004, 4, 12 )
> delta = datetime.timedelta(days=100)
>
> dates = drange(date1, date2, delta)
> s = rand(len(dates)) # make up some random y values
>
> # plot subplot 1 #
> ax1 = subplot(211)
> plot_date(dates, s)
> ax1.xaxis.set_major_locator(loc)
> ax1.xaxis.set_major_formatter(formatter)
> labels = ax1.get_xticklabels()
> setp(labels, rotation=30, fontsize=10)
>
> # data for subplot 2 #
> date1 = datetime.date( 2052, 1, 1 ) ###( 1952, 1, 1 )
> date2 = datetime.date( 2104, 4, 12 ) ###( 2004, 4, 12 )
>
> dates = drange(date1, date2, delta)
> s = rand(len(dates)) # make up some random y values
>
> # plot subplot 2 #
> ax2 = subplot(212)
> plot_date(dates, s)
> ax2.xaxis.set_major_locator(loc)
> ax2.xaxis.set_major_formatter(formatter)
> labels = ax2.get_xticklabels()
> setp(labels, rotation=30, fontsize=10)
>
> show()
>
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
|
|
From: Damien I. <dam...@ya...> - 2012-08-15 01:28:05
|
I've been plotting timeseries data using the matplotlib.dates module and have come across an issue when using it in conjunction with the subplot command.
For figures with greater than one subplot in a particular column, the time (or x) axis ticks and their labels are only printed on the final subplot that is plotted, and are missing on all other subplots in that column (see example code below). The only exception is when the time axis is identical for each plot in the column (you can test this by editing my example code at ###) - then all time axis ticks and their labels are displayed correctly.
Is this a bug in the subplot source code, or am I missing something?
from pylab import *
from matplotlib.dates import YEARLY, DateFormatter, rrulewrapper, RRuleLocator, drange
import datetime
# tick every 5th easter #
rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
loc = RRuleLocator(rule)
formatter = DateFormatter('%m/%d/%y')
# data for subplot 1 #
date1 = datetime.date( 1952, 1, 1 )
date2 = datetime.date( 2004, 4, 12 )
delta = datetime.timedelta(days=100)
dates = drange(date1, date2, delta)
s = rand(len(dates)) # make up some random y values
# plot subplot 1 #
ax1 = subplot(211)
plot_date(dates, s)
ax1.xaxis.set_major_locator(loc)
ax1.xaxis.set_major_formatter(formatter)
labels = ax1.get_xticklabels()
setp(labels, rotation=30, fontsize=10)
# data for subplot 2 #
date1 = datetime.date( 2052, 1, 1 ) ###( 1952, 1, 1 )
date2 = datetime.date( 2104, 4, 12 ) ###( 2004, 4, 12 )
dates = drange(date1, date2, delta)
s = rand(len(dates)) # make up some random y values
# plot subplot 2 #
ax2 = subplot(212)
plot_date(dates, s)
ax2.xaxis.set_major_locator(loc)
ax2.xaxis.set_major_formatter(formatter)
labels = ax2.get_xticklabels()
setp(labels, rotation=30, fontsize=10)
show() |
