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
On Thu, Nov 4, 2010 at 10:49 AM, Philip Semanchuk phi...@semanchuk.com 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
On Mon, Nov 8, 2010 at 8:34 AM, Philip Semanchuk phi...@semanchuk.com 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
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
On Nov 8, 2010, at 9:51 AM, Ryan May wrote:
On Mon, Nov 8, 2010 at 8:34 AM, Philip Semanchuk phi...@semanchuk.com 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
On Tue, Nov 9, 2010 at 12:21 AM, Werner F. Bruhin werner.bru...@free.fr 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
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)
ns =
On Fri, Nov 5, 2010 at 8:07 AM, Aman Thakral aman.thak...@gmail.com 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
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 Sat, Oct 30, 2010 at 2:16 PM, Paul Ivanov pivanov...@gmail.com 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
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