FM / matplotlib

/usr/lib64/python2.6/site-packages/matplotlib/

/usr/lib64/python2.6/site-packages/matplotlib

Name	Size	Mode	Actions
backends/	-	0755	rm
delaunay/	-	0755	rm
mpl-data/	-	0755	rm
numerix/	-	0755	rm
projections/	-	0755	rm
sphinxext/	-	0755	rm
afm.py	15089	0644	edit dl rm
afm.pyc	16959	0644	edit dl rm
afm.pyo	16959	0644	edit dl rm
artist.py	35623	0644	edit dl rm
artist.pyc	40326	0644	edit dl rm
artist.pyo	40326	0644	edit dl rm
axes.py	280089	0644	edit dl rm
axes.pyc	249396	0644	edit dl rm
axes.pyo	248284	0644	edit dl rm
axis.py	57354	0644	edit dl rm
axis.pyc	58973	0644	edit dl rm
axis.pyo	58666	0644	edit dl rm
backend_bases.py	72318	0644	edit dl rm
backend_bases.pyc	77967	0644	edit dl rm
backend_bases.pyo	77877	0644	edit dl rm
bezier.py	14917	0644	edit dl rm
bezier.pyc	13526	0644	edit dl rm
bezier.pyo	13526	0644	edit dl rm
blocking_input.py	13690	0644	edit dl rm
blocking_input.pyc	14346	0644	edit dl rm
blocking_input.pyo	14028	0644	edit dl rm
cbook.py	42756	0644	edit dl rm
cbook.pyc	56755	0644	edit dl rm
cbook.pyo	56529	0644	edit dl rm
cm.py	8098	0644	edit dl rm
cm.pyc	9772	0644	edit dl rm
cm.pyo	9772	0644	edit dl rm
collections.py	40784	0644	edit dl rm
collections.pyc	44006	0644	edit dl rm
collections.pyo	44006	0644	edit dl rm
colorbar.py	27456	0644	edit dl rm
colorbar.pyc	25497	0644	edit dl rm
colorbar.pyo	25497	0644	edit dl rm
colors.py	39110	0644	edit dl rm
colors.pyc	40079	0644	edit dl rm
colors.pyo	40079	0644	edit dl rm
contour.py	42895	0644	edit dl rm
contour.pyc	36099	0644	edit dl rm
contour.pyo	35937	0644	edit dl rm
dates.py	36007	0755	edit dl rm
dates.pyc	40017	0644	edit dl rm
dates.pyo	39953	0644	edit dl rm
dviread.py	32033	0644	edit dl rm
dviread.pyc	34682	0644	edit dl rm
dviread.pyo	34539	0644	edit dl rm
figure.py	41264	0644	edit dl rm
figure.pyc	42939	0644	edit dl rm
figure.pyo	42808	0644	edit dl rm
finance.py	20582	0644	edit dl rm
finance.pyc	18519	0644	edit dl rm
finance.pyo	18359	0644	edit dl rm
fontconfig_pattern.py	6429	0644	edit dl rm
fontconfig_pattern.pyc	6519	0644	edit dl rm
fontconfig_pattern.pyo	6519	0644	edit dl rm
font_manager.py	42653	0644	edit dl rm
font_manager.pyc	40456	0644	edit dl rm
font_manager.pyo	40456	0644	edit dl rm
ft2font.so	306168	0775	edit dl rm
hatch.py	6564	0644	edit dl rm
hatch.pyc	9120	0644	edit dl rm
hatch.pyo	9120	0644	edit dl rm
image.py	31540	0644	edit dl rm
image.pyc	33042	0644	edit dl rm
image.pyo	32996	0644	edit dl rm
legend.py	32302	0644	edit dl rm
legend.pyc	23551	0644	edit dl rm
legend.pyo	23378	0644	edit dl rm
lines.py	54685	0644	edit dl rm
lines.pyc	56431	0644	edit dl rm
lines.pyo	56326	0644	edit dl rm
mathtext.py	102009	0644	edit dl rm
mathtext.pyc	103067	0644	edit dl rm
mathtext.pyo	102679	0644	edit dl rm
mlab.py	94294	0644	edit dl rm
mlab.pyc	100004	0644	edit dl rm
mlab.pyo	99824	0644	edit dl rm
mpl.py	785	0644	edit dl rm
mpl.pyc	1176	0644	edit dl rm
mpl.pyo	1176	0644	edit dl rm
nxutils.so	9512	0775	edit dl rm
offsetbox.py	29807	0644	edit dl rm
offsetbox.pyc	33889	0644	edit dl rm
offsetbox.pyo	33834	0644	edit dl rm
patches.py	128485	0644	edit dl rm
patches.pyc	130148	0644	edit dl rm
patches.pyo	130010	0644	edit dl rm
path.py	21765	0644	edit dl rm
path.pyc	21174	0644	edit dl rm
path.pyo	20954	0644	edit dl rm
pylab.py	10981	0644	edit dl rm
pylab.pyc	12399	0644	edit dl rm
pylab.pyo	12399	0644	edit dl rm
pyparsing.py	143924	0644	edit dl rm
pyparsing.pyc	146737	0644	edit dl rm
pyparsing.pyo	146737	0644	edit dl rm
pyplot.py	82468	0644	edit dl rm
pyplot.pyc	80279	0644	edit dl rm
pyplot.pyo	80279	0644	edit dl rm
quiver.py	37540	0644	edit dl rm
quiver.pyc	33788	0644	edit dl rm
quiver.pyo	33788	0644	edit dl rm
rcsetup.py	23434	0644	edit dl rm
rcsetup.pyc	21119	0644	edit dl rm
rcsetup.pyo	20949	0644	edit dl rm
scale.py	14233	0644	edit dl rm
scale.pyc	19474	0644	edit dl rm
scale.pyo	19474	0644	edit dl rm
spines.py	12684	0644	edit dl rm
spines.pyc	11636	0644	edit dl rm
spines.pyo	11209	0644	edit dl rm
table.py	16828	0644	edit dl rm
table.pyc	16931	0644	edit dl rm
table.pyo	16780	0644	edit dl rm
texmanager.py	22464	0644	edit dl rm
texmanager.pyc	19962	0644	edit dl rm
texmanager.pyo	19962	0644	edit dl rm
text.py	59822	0644	edit dl rm
text.pyc	59240	0644	edit dl rm
text.pyo	59240	0644	edit dl rm
ticker.py	40428	0644	edit dl rm
ticker.pyc	50461	0644	edit dl rm
ticker.pyo	50325	0644	edit dl rm
tight_bbox.py	3655	0644	edit dl rm
tight_bbox.pyc	4066	0644	edit dl rm
tight_bbox.pyo	4066	0644	edit dl rm
transforms.py	75387	0644	edit dl rm
transforms.pyc	89611	0644	edit dl rm
transforms.pyo	88702	0644	edit dl rm
ttconv.so	65360	0775	edit dl rm
type1font.py	11537	0644	edit dl rm
type1font.pyc	11256	0644	edit dl rm
type1font.pyo	11256	0644	edit dl rm
units.py	4976	0644	edit dl rm
units.pyc	5775	0644	edit dl rm
units.pyo	5775	0644	edit dl rm
widgets.py	40833	0644	edit dl rm
widgets.pyc	42568	0644	edit dl rm
widgets.pyo	42382	0644	edit dl rm
windowing.py	454	0644	edit dl rm
windowing.pyc	1283	0644	edit dl rm
windowing.pyo	1283	0644	edit dl rm
_cm.py	370414	0644	edit dl rm
_cm.pyc	103042	0644	edit dl rm
_cm.pyo	103042	0644	edit dl rm
_cntr.so	21184	0775	edit dl rm
_delaunay.so	61120	0775	edit dl rm
_image.so	282248	0775	edit dl rm
_mathtext_data.py	57990	0644	edit dl rm
_mathtext_data.pyc	63787	0644	edit dl rm
_mathtext_data.pyo	63787	0644	edit dl rm
_path.so	279992	0775	edit dl rm
_png.so	156472	0775	edit dl rm
_pylab_helpers.py	2715	0644	edit dl rm
_pylab_helpers.pyc	3708	0644	edit dl rm
_pylab_helpers.pyo	3708	0644	edit dl rm
__init__.py	28972	0644	edit dl rm
__init__.pyc	28980	0644	edit dl rm
__init__.pyo	28926	0644	edit dl rm

Edit: /usr/lib64/python2.6/site-packages/matplotlib/finance.py (20582B)

"""
A collection of modules for collecting, analyzing and plotting
financial data.   User contributions welcome!

"""
#from __future__ import division
import os, time, warnings
from urllib2 import urlopen

try:
    from hashlib import md5
except ImportError:
    from md5 import md5 #Deprecated in 2.5

try: import datetime
except ImportError:
    raise ImportError('The finance module requires datetime support (python2.3)')

import numpy as np

from matplotlib import verbose, get_configdir
from dates import date2num
from matplotlib.cbook import Bunch
from matplotlib.collections import LineCollection, PolyCollection
from matplotlib.colors import colorConverter
from lines import Line2D, TICKLEFT, TICKRIGHT
from patches import Rectangle
from matplotlib.transforms import Affine2D

configdir = get_configdir()
cachedir = os.path.join(configdir, 'finance.cache')

def parse_yahoo_historical(fh, asobject=False, adjusted=True):
    """
    Parse the historical data in file handle fh from yahoo finance and return
    results as a list of

d, open, close, high, low, volume

where d is a floating poing representation of date, as returned by date2num

if adjust=True, use adjusted prices
    """
    results = []

lines = fh.readlines()

datefmt = None

for line in lines[1:]:

vals = line.split(',')

if len(vals)!=7: continue
        datestr = vals[0]
        if datefmt is None:
            try:
                datefmt = '%Y-%m-%d'
                dt = datetime.date(*time.strptime(datestr, datefmt)[:3])
            except ValueError:
                datefmt = '%d-%b-%y'  # Old Yahoo--cached file?
        dt = datetime.date(*time.strptime(datestr, datefmt)[:3])
        d = date2num(dt)
        open, high, low, close =  [float(val) for val in vals[1:5]]
        volume = int(vals[5])
        if adjusted:
            aclose = float(vals[6])
            m = aclose/close
            open *= m
            high *= m
            low *= m
            close = aclose

results.append((d, open, close, high, low, volume))
    results.reverse()
    if asobject:
        if len(results)==0: return None
        else:
            date, open, close, high, low, volume = map(np.asarray, zip(*results))
        return Bunch(date=date, open=open, close=close, high=high, low=low, volume=volume)
    else:

return results

def fetch_historical_yahoo(ticker, date1, date2, cachename=None):
    """
    Fetch historical data for ticker between date1 and date2.  date1 and
    date2 are datetime instances

Ex:
    fh = fetch_historical_yahoo('^GSPC', d1, d2)

cachename is the name of the local file cache.  If None, will
    default to the md5 hash or the url (which incorporates the ticker
    and date range)

a file handle is returned
    """

ticker = ticker.upper()

d1 = (date1.month-1, date1.day, date1.year)
    d2 = (date2.month-1, date2.day, date2.year)

urlFmt = 'http://table.finance.yahoo.com/table.csv?a=%d&b=%d&c=%d&d=%d&e=%d&f=%d&s=%s&y=0&g=d&ignore=.csv'

url =  urlFmt % (d1[0], d1[1], d1[2],
                     d2[0], d2[1], d2[2], ticker)

if cachename is None:
        cachename = os.path.join(cachedir, md5(url).hexdigest())
    if os.path.exists(cachename):
        fh = file(cachename)
        verbose.report('Using cachefile %s for %s'%(cachename, ticker))
    else:
        if not os.path.isdir(cachedir): os.mkdir(cachedir)
        urlfh = urlopen(url)

fh = file(cachename, 'w')
        fh.write(urlfh.read())
        fh.close()
        verbose.report('Saved %s data to cache file %s'%(ticker, cachename))
        fh = file(cachename, 'r')

return fh

def quotes_historical_yahoo(ticker, date1, date2, asobject=False, adjusted=True, cachename=None):
    """
    Get historical data for ticker between date1 and date2.  date1 and
    date2 are datetime instances

results are a list of tuples

(d, open, close, high, low, volume)

where d is a floating poing representation of date, as returned by date2num

if asobject is True, the return val is an object with attrs date,
    open, close, high, low, volume, which are equal length arrays

if adjust=True, use adjusted prices

Ex:
    sp = f.quotes_historical_yahoo('^GSPC', d1, d2, asobject=True, adjusted=True)
    returns = (sp.open[1:] - sp.open[:-1])/sp.open[1:]
    [n,bins,patches] = hist(returns, 100)
    mu = mean(returns)
    sigma = std(returns)
    x = normpdf(bins, mu, sigma)
    plot(bins, x, color='red', lw=2)

cachename is the name of the local file cache.  If None, will
    default to the md5 hash or the url (which incorporates the ticker
    and date range)
    """

fh = fetch_historical_yahoo(ticker, date1, date2, cachename)

try: ret = parse_yahoo_historical(fh, asobject, adjusted)
    except IOError, exc:
        warnings.warn('urlopen() failure\n' + url + '\n' + exc.strerror[1])
        return None

return ret

def plot_day_summary(ax, quotes, ticksize=3,
                     colorup='k', colordown='r',
                     ):
    """
    quotes is a list of (time, open, close, high, low, ...) tuples

Represent the time, open, close, high, low as a vertical line
    ranging from low to high.  The left tick is the open and the right
    tick is the close.

time must be in float date format - see date2num

ax          : an Axes instance to plot to
    ticksize    : open/close tick marker in points
    colorup     : the color of the lines where close >= open
    colordown   : the color of the lines where close <  open
    return value is a list of lines added
    """

lines = []
    for q in quotes:

t, open, close, high, low = q[:5]

if close>=open : color = colorup
        else           : color = colordown

vline = Line2D(
            xdata=(t, t), ydata=(low, high),
            color=color,
            antialiased=False,   # no need to antialias vert lines
            )

oline = Line2D(
            xdata=(t, t), ydata=(open, open),
            color=color,
            antialiased=False,
            marker=TICKLEFT,
            markersize=ticksize,
            )

cline = Line2D(
            xdata=(t, t), ydata=(close, close),
            color=color,
            antialiased=False,
            markersize=ticksize,
            marker=TICKRIGHT)

lines.extend((vline, oline, cline))
        ax.add_line(vline)
        ax.add_line(oline)
        ax.add_line(cline)

ax.autoscale_view()

return lines

def candlestick(ax, quotes, width=0.2, colorup='k', colordown='r',
                alpha=1.0):

"""

quotes is a list of (time, open, close, high, low, ...)  tuples.
    As long as the first 5 elements of the tuples are these values,
    the tuple can be as long as you want (eg it may store volume).

time must be in float days format - see date2num

Plot the time, open, close, high, low as a vertical line ranging
    from low to high.  Use a rectangular bar to represent the
    open-close span.  If close >= open, use colorup to color the bar,
    otherwise use colordown

ax          : an Axes instance to plot to
    width       : fraction of a day for the rectangle width
    colorup     : the color of the rectangle where close >= open
    colordown   : the color of the rectangle where close <  open
    alpha       : the rectangle alpha level

return value is lines, patches where lines is a list of lines
    added and patches is a list of the rectangle patches added
    """

OFFSET = width/2.0

lines = []
    patches = []
    for q in quotes:
        t, open, close, high, low = q[:5]

if close>=open :
            color = colorup
            lower = open
            height = close-open
        else           :
            color = colordown
            lower = close
            height = open-close

vline = Line2D(
            xdata=(t, t), ydata=(low, high),
            color='k',
            linewidth=0.5,
            antialiased=True,
            )

rect = Rectangle(
            xy    = (t-OFFSET, lower),
            width = width,
            height = height,
            facecolor = color,
            edgecolor = color,
            )
        rect.set_alpha(alpha)

lines.append(vline)
        patches.append(rect)
        ax.add_line(vline)
        ax.add_patch(rect)
    ax.autoscale_view()

return lines, patches

def plot_day_summary2(ax, opens, closes, highs, lows, ticksize=4,
                      colorup='k', colordown='r',
                     ):
    """

Represent the time, open, close, high, low as a vertical line
    ranging from low to high.  The left tick is the open and the right
    tick is the close.

ax          : an Axes instance to plot to
    ticksize    : size of open and close ticks in points
    colorup     : the color of the lines where close >= open
    colordown   : the color of the lines where close <  open

return value is a list of lines added
    """

# note this code assumes if any value open, close, low, high is
    # missing they all are missing

rangeSegments = [ ((i, low), (i, high)) for i, low, high in zip(xrange(len(lows)), lows, highs) if low != -1 ]

# the ticks will be from ticksize to 0 in points at the origin and
    # we'll translate these to the i, close location
    openSegments = [  ((-ticksize, 0), (0, 0)) ]

# the ticks will be from 0 to ticksize in points at the origin and
    # we'll translate these to the i, close location
    closeSegments = [ ((0, 0), (ticksize, 0)) ]

offsetsOpen = [ (i, open) for i, open in zip(xrange(len(opens)), opens) if open != -1 ]

offsetsClose = [ (i, close) for i, close in zip(xrange(len(closes)), closes) if close != -1 ]

scale = ax.figure.dpi * (1.0/72.0)

tickTransform = Affine2D().scale(scale, 0.0)

r,g,b = colorConverter.to_rgb(colorup)
    colorup = r,g,b,1
    r,g,b = colorConverter.to_rgb(colordown)
    colordown = r,g,b,1
    colord = { True : colorup,
               False : colordown,
               }
    colors = [colord[open<close] for open, close in zip(opens, closes) if open!=-1 and close !=-1]

assert(len(rangeSegments)==len(offsetsOpen))
    assert(len(offsetsOpen)==len(offsetsClose))
    assert(len(offsetsClose)==len(colors))

useAA = 0,   # use tuple here
    lw = 1,      # and here
    rangeCollection = LineCollection(rangeSegments,
                                     colors       = colors,
                                     linewidths   = lw,
                                     antialiaseds = useAA,
                                     )

openCollection = LineCollection(openSegments,
                                    colors       = colors,
                                    antialiaseds = useAA,
                                    linewidths   = lw,
                                    offsets      = offsetsOpen,
                                    transOffset  = ax.transData,
                                   )
    openCollection.set_transform(tickTransform)

closeCollection = LineCollection(closeSegments,
                                     colors       = colors,
                                     antialiaseds = useAA,
                                     linewidths   = lw,
                                     offsets      = offsetsClose,
                                     transOffset  = ax.transData,
                                     )
    closeCollection.set_transform(tickTransform)

minpy, maxx = (0, len(rangeSegments))
    miny = min([low for low in lows if low !=-1])
    maxy = max([high for high in highs if high != -1])
    corners = (minpy, miny), (maxx, maxy)
    ax.update_datalim(corners)
    ax.autoscale_view()

# add these last
    ax.add_collection(rangeCollection)
    ax.add_collection(openCollection)
    ax.add_collection(closeCollection)
    return rangeCollection, openCollection, closeCollection

def candlestick2(ax, opens, closes, highs, lows, width=4,
                 colorup='k', colordown='r',
                 alpha=0.75,
                ):
    """

Represent the open, close as a bar line and high low range as a
    vertical line.

ax          : an Axes instance to plot to
    width       : the bar width in points
    colorup     : the color of the lines where close >= open
    colordown   : the color of the lines where close <  open
    alpha       : bar transparency

return value is lineCollection, barCollection
    """

# note this code assumes if any value open, close, low, high is
    # missing they all are missing

delta = width/2.
    barVerts = [ ( (i-delta, open), (i-delta, close), (i+delta, close), (i+delta, open) ) for i, open, close in zip(xrange(len(opens)), opens, closes) if open != -1 and close!=-1 ]

rangeSegments = [ ((i, low), (i, high)) for i, low, high in zip(xrange(len(lows)), lows, highs) if low != -1 ]

r,g,b = colorConverter.to_rgb(colorup)
    colorup = r,g,b,alpha
    r,g,b = colorConverter.to_rgb(colordown)
    colordown = r,g,b,alpha
    colord = { True : colorup,
               False : colordown,
               }
    colors = [colord[open<close] for open, close in zip(opens, closes) if open!=-1 and close !=-1]

assert(len(barVerts)==len(rangeSegments))

useAA = 0,  # use tuple here
    lw = 0.5,   # and here
    rangeCollection = LineCollection(rangeSegments,
                                     colors       = ( (0,0,0,1), ),
                                     linewidths   = lw,
                                     antialiaseds = useAA,
                                     )

barCollection = PolyCollection(barVerts,
                                   facecolors   = colors,
                                   edgecolors   = ( (0,0,0,1), ),
                                   antialiaseds = useAA,
                                   linewidths   = lw,
                                   )

minx, maxx = 0, len(rangeSegments)
    miny = min([low for low in lows if low !=-1])
    maxy = max([high for high in highs if high != -1])

corners = (minx, miny), (maxx, maxy)
    ax.update_datalim(corners)
    ax.autoscale_view()

# add these last
    ax.add_collection(barCollection)
    ax.add_collection(rangeCollection)
    return rangeCollection, barCollection

def volume_overlay(ax, opens, closes, volumes,
                   colorup='k', colordown='r',
                   width=4, alpha=1.0):
    """
    Add a volume overlay to the current axes.  The opens and closes
    are used to determine the color of the bar.  -1 is missing.  If a
    value is missing on one it must be missing on all

"""

delta = width/2.
    bars = [ ( (i-delta, 0), (i-delta, v), (i+delta, v), (i+delta, 0)) for i, v in enumerate(volumes) if v != -1 ]

barCollection = PolyCollection(bars,
                                   facecolors   = colors,
                                   edgecolors   = ( (0,0,0,1), ),
                                   antialiaseds = (0,),
                                   linewidths   = (0.5,),
                                   )

corners = (0, 0), (len(bars), max(volumes))
    ax.update_datalim(corners)
    ax.autoscale_view()

# add these last
    return barCollection

def volume_overlay2(ax, closes, volumes,
                   colorup='k', colordown='r',
                   width=4, alpha=1.0):
    """
    Add a volume overlay to the current axes.  The closes are used to
    determine the color of the bar.  -1 is missing.  If a value is
    missing on one it must be missing on all

nb: first point is not displayed - it is used only for choosing the
    right color

"""

return volume_overlay(ax,closes[:-1],closes[1:],volumes[1:],colorup,colordown,width,alpha)

def volume_overlay3(ax, quotes,
                   colorup='k', colordown='r',
                   width=4, alpha=1.0):
    """
    Add a volume overlay to the current axes.  quotes is a list of (d,
    open, close, high, low, volume) and close-open is used to
    determine the color of the bar

kwarg
    width       : the bar width in points
    colorup     : the color of the lines where close1 >= close0
    colordown   : the color of the lines where close1 <  close0
    alpha       : bar transparency

"""

dates, opens, closes, highs, lows, volumes = zip(*quotes)
    colors = [colord[close1>=close0] for close0, close1 in zip(closes[:-1], closes[1:]) if close0!=-1 and close1 !=-1]
    colors.insert(0,colord[closes[0]>=opens[0]])

right = width/2.0
    left = -width/2.0

bars = [ ( (left, 0), (left, volume), (right, volume), (right, 0)) for d, open, close, high, low, volume in quotes]

sx = ax.figure.dpi * (1.0/72.0)  # scale for points
    sy = ax.bbox.height / ax.viewLim.height

barTransform = Affine2D().scale(sx,sy)

dates = [d for d, open, close, high, low, volume in quotes]
    offsetsBars = [(d, 0) for d in dates]

useAA = 0,  # use tuple here
    lw = 0.5,   # and here
    barCollection = PolyCollection(bars,
                                   facecolors   = colors,
                                   edgecolors   = ( (0,0,0,1), ),
                                   antialiaseds = useAA,
                                   linewidths   = lw,
                                   offsets      = offsetsBars,
                                   transOffset  = ax.transData,
                                   )
    barCollection.set_transform(barTransform)

minpy, maxx = (min(dates), max(dates))
    miny = 0
    maxy = max([volume for d, open, close, high, low, volume in quotes])
    corners = (minpy, miny), (maxx, maxy)
    ax.update_datalim(corners)
    #print 'datalim', ax.dataLim.get_bounds()
    #print 'viewlim', ax.viewLim.get_bounds()

ax.add_collection(barCollection)
    ax.autoscale_view()

return barCollection

def index_bar(ax, vals,
              facecolor='b', edgecolor='l',
              width=4, alpha=1.0, ):
    """
    Add a bar collection graph with height vals (-1 is missing).

ax          : an Axes instance to plot to
    width       : the bar width in points
    alpha       : bar transparency

"""

facecolors = (colorConverter.to_rgba(facecolor, alpha),)
    edgecolors = (colorConverter.to_rgba(edgecolor, alpha),)

right = width/2.0
    left = -width/2.0

bars = [ ( (left, 0), (left, v), (right, v), (right, 0)) for v in vals if v != -1 ]

sx = ax.figure.dpi * (1.0/72.0)  # scale for points
    sy = ax.bbox.height / ax.viewLim.height

barTransform = Affine2D().scale(sx,sy)

offsetsBars = [ (i, 0) for i,v in enumerate(vals) if v != -1 ]

barCollection = PolyCollection(bars,
                                   facecolors   = facecolors,
                                   edgecolors   = edgecolors,
                                   antialiaseds = (0,),
                                   linewidths   = (0.5,),
                                   offsets      = offsetsBars,
                                   transOffset  = ax.transData,
                                   )
    barCollection.set_transform(barTransform)

minpy, maxx = (0, len(offsetsBars))
    miny = 0
    maxy = max([v for v in vals if v!=-1])
    corners = (minpy, miny), (maxx, maxy)
    ax.update_datalim(corners)
    ax.autoscale_view()

# add these last
    ax.add_collection(barCollection)
    return barCollection

cmd: