On Sat, Oct 30, 2010 at 2:16 PM, Paul Ivanov wrote:
>> Thanks Paul! Your suggestion got me part of the way, but I've run
>> into another problem...I'm using draggable legends, I'm also wanting
>> to fetch the current position of the legend after a drag. The
>> draggable legend always updates 'lo
Honestly, I can't even remember why it is wrapped. I think this is just a
relic of some old example that I had lying around. Serves me right for just
copying and pasting without thinking :P . A straight call to
itertools.cycle is definitely much cleaner. Also, is there an example of
this in the
On Fri, Nov 5, 2010 at 8:07 AM, Aman Thakral wrote:
> Hi,
>
> The best way to do this is to use a generator:
>
> import itertools
> import matplotlib.pyplot as plt
> import numpy as np
>
> def _ncycle(iterable,n):
> """
> Method to create a generator from an iterable. It keeps the
> c
>
> How can I automatically cycle through distinctive line markers?
>>
>> I want a semilog plot, composed of a number of lines. Each line should
>> have
>> a different color and marker.
>
>
I simply use:
colors = ['b', 'r', 'c', 'm', 'k', 'g', 'y']
symbols = ['-', '--', '-.', ':']
nc = len(colors
On Tue, Nov 9, 2010 at 12:21 AM, Werner F. Bruhin wrote:
> I like to have 2 or 3 text elements "stacked" on top of each other on
> top of a bar.
>
> Currently it works for the first text element by doing:
>
> height = bar.get_height()
> xCorr = bar.get_x()
> yCorr = 0.20 + height
>
> txtax = axes.
On Nov 8, 2010, at 9:51 AM, Ryan May wrote:
> On Mon, Nov 8, 2010 at 8:34 AM, Philip Semanchuk wrote:
>> Hi Ryan,
>> Thanks. I don't know why sudo behaves the way it does with regard to $HOME,
>> but the behavior of sudo is not under my control (nor matplotlib's). Also, I
>> expect that *lots*
I like to have 2 or 3 text elements "stacked" on top of each other on
top of a bar.
Currently it works for the first text element by doing:
height = bar.get_height()
xCorr = bar.get_x()
yCorr = 0.20 + height
txtax = axes.text(xCorr, yCorr, hstr)
trying to add the second text just above the pre
On Mon, Nov 8, 2010 at 8:34 AM, Philip Semanchuk wrote:
> Hi Ryan,
> Thanks. I don't know why sudo behaves the way it does with regard to $HOME,
> but the behavior of sudo is not under my control (nor matplotlib's). Also, I
> expect that *lots* of software depends on this behavior of sudo so cha
On Nov 8, 2010, at 9:13 AM, Ryan May wrote:
> On Thu, Nov 4, 2010 at 10:49 AM, Philip Semanchuk
> wrote:
>> Hi all,
>> I've run into an aspect of matplotlib's setup that seems awkward. I'm seeing
>> this on Ubuntu, but I imagine it would happen on any *nix platform.
>>
>> If python is running
On Thu, Nov 4, 2010 at 10:49 AM, Philip Semanchuk wrote:
> Hi all,
> I've run into an aspect of matplotlib's setup that seems awkward. I'm seeing
> this on Ubuntu, but I imagine it would happen on any *nix platform.
>
> If python is running under sudo the first time matplotlib is imported, then
If you don't have any special use for the config dir, this might be a
more straightforward solution that doesn't require patching matplotlib.
Simply paste this in your code, before importing matplotlib :
import os
os.environ['HOME'] = '/tmp/'
Might be safer to use 'MPLCONFIGDIR' instead of 'HO
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