Hello to all
I've discovered Numpy and Matplotlib two weeks ago and I'm trying to
free myself to the slavery of Matlab (TM) ;) and I'm converting all my
small sotware about chemometrics in python (and I will be happy to
release them soon to the community)
I've searched a bit in the mailing list archive but not found anything
about this topic.
I have to make a plot with errorbars (I take two vectors from previous
calculation). I thuoght it was an esay task... but.. let's see what happened
first try withous error bars
#!/usr/bin/env python
# a stacked bar plot with errorbars
from pylab import *
#womenMeans = (25, 32, 34, 20, 25)
#womenStd = (2, 3, 4, 1, 2)
#womenStd = (3.1, 5.1, 2.3, 3.5, 3.4)
############### it works
##N=5
##menMeans = array([[20], [35], [30], [35], [27]])
##ind = arange(N) # the x locations for the groups
##width = 0.35 # the width of the bars: can also be len(x) sequence
##p1 = bar(ind, womenMeans, width, color='r', )
and it worked !!!
simple plot with error (but this time with sequences..)
################ it works
##womenStd = (3.1, 5.1, 2.3, 3.5, 3.4)
##N=5
##menMeans = (20, 35, 30, 35, 27)
##ind = arange(N) # the x locations for the groups
##width = 0.35 # the width of the bars: can also be len(x) sequence
##p1 = bar(ind, womenMeans, width, color='r', yerr=womenStd)
it works... so I thought.. I will add error bars and be ok ...BUT....
############## it doesnt'works
##womenStd = array([[3.1], [5.1], [2.3], [3.5], [3.4]])
##N=5
##womenMeans = array([[20], [35], [30], [35], [27]])
##ind = arange(N) # the x locations for the groups
##width = 0.35 # the width of the bars: can also be len(x) sequence
##p1 = bar(ind, womenMeans, width, color='r', yerr=womenStd)
##Traceback (most recent call last):
## File
"C:\Python25\Lib\site-packages\matplotlib\examples\bar_stacked.py", line
34, in -toplevel-
## p1 = bar(ind, menMeans, width, color='r', yerr=womenStd)
## File "C:\Python24\Lib\site-packages\matplotlib\pylab.py", line 1651,
in bar
## ret = gca().bar(*args, **kwargs)
## File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 2572,
in bar
## fmt=None, ecolor=ecolor, capsize=capsize)
## File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 2904,
in errorbar
## barlines.extend( self.vlines(x, y, upper, label='_nolegend_' ) )
## File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 2032,
in vlines
## color=color, linestyle=linestyle, marker=marker,
## File "C:\Python24\Lib\site-packages\matplotlib\lines.py", line 206,
in __init__
## self.set_data(xdata, ydata)
## File "C:\Python24\Lib\site-packages\matplotlib\lines.py", line 269,
in set_data
## raise RuntimeError('xdata and ydata must be the same length')
##RuntimeError: xdata and ydata must be the same length
#############
What's the matter ?????
After spending an hour searching what a tuple, and a sequence is...
I've solved the problem in this way...
womenStd = array([[3.1], [5.1], [2.3], [3.5], [3.4]])
womenStdFlatten=womenStd.flatten()
womenStdTuple=tuple(womenStdFlatten)
N=5
womenMeans = array([[20], [35], [30], [35], [27]])
womenFlatten=womenMeans.flatten()
womenTuple=tuple(womenFlatten)
ind = arange(N) # the x locations for the groups
width = 0.35 # the width of the bars: can also be len(x) sequence
p1 = bar(ind, womenTuple, width, color='r', yerr=womenStdTuple)
ylabel('Scores')
title('Scores by group and gender')
#xticks(ind+width/2., ('G1', 'G2', 'G3', 'G4', 'G5') )
#yticks(arange(0,81,10))
#legend( (p1[0], p2[0]), ('Men', 'Women') )
show()
Does anyone know if this is the only solution to get it work ????
I hope to have helped someone with the same problem like me and also
curious to know if there is any other solution
Used python 2.4 scypy 1.0 , and the last version of numpy and matplotlib
avaible for them
Cheers
Giorgio
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