matplotlib-users Mailing List for matplotlib (Page 2)

Yes, that works nice. So my final code, as minimalist as possible (while
still maintaining readability):

import matplotlib.pyplot as plt
import numpy as np

# the data to plot
defects = [32, 22, 15, 5, 2]
labels = ['vertical', 'horizontal', 'behind', 'left area', 'other']
the_sum = sum(defects) # ie, 32 + 22 + 15 + 5 + 2
the_cumsum = np.cumsum(defects) #  32, 32 + 22, 32 + 22 + 15, 32 + 22 + 15
+ 5, 32 + 22, + 15 + 5 + 2
percent = (np.divide(the_cumsum, the_sum)) * 100
ind = np.arange(len(defects))  # the x locations for the groups
width = .98 # with do of the bars, where a width of 1 indidcates no space
between bars
x = ind + .5 * width # find the middle of the bar
fig = plt.figure() # create a figure
ax1 = fig.add_subplot(111) # and a subplot
ax2 = ax1.twinx() # create a duplicate y axis
rects1 = ax1.bar(ind, defects, width=width) # draw the chart
line, = ax2.plot(x, percent) # draw the  line
ax1.set_ylim(ymax=the_sum) # without these limits, graphs will not work
ax2.set_ylim(0, 100)
ax1.set_xticks(x) # set ticks for middle of bars
ax1.set_xticklabels(labels) # create the labels for the bars
ax1.set_ylabel('Defects') # create the left y axis label
ax2.set_ylabel('Percentage') # create the right y axis label
plt.show()



On Tue, Sep 25, 2012 at 2:31 PM, Jeffrey Melloy <jm...@gm...> wrote:

> ax1.set_ylim(0, sum(data))
> ax2.set_ylim(0, 100)
> seems to solve both of these issues.
>
> On Tue, Sep 25, 2012 at 11:16 AM, Paul Tremblay <pau...@gm...>
> wrote:
> > There are two problems with this chart:
> >
> > 1. The scale is wrong. Imagine that you can stack all the bars on top of
> > each other. When stacked, all the bars should fill in the graph exactly.
> In
> > other words: ax1.set_ylim = sum(defects). See my original, or the wiki
> page.
> >
> > 2. The line starts in the middle of the bar. It needs to start on top, in
> > the middle.
> >
> > Maybe there is  a way to correct 1 & 2 with your method, but I can't
> seem to
> > find it.
> >
> > Thanks!
> >
> > Paul
> >
> >
> > On Tue, Sep 25, 2012 at 12:58 PM, Jeffrey Melloy <jm...@gm...>
> wrote:
> >>
> >> I think pareto charts are supposed to be percentages, not totals.
> >>
> >> data = [83, 38, 7, 5, 5, 4, 4, 2, 1]
> >> labels = ["Vertical", "Horizontal", "Upper", "Lower", "Left", "Right",
> >> "Behind", "Front", "Down"]
> >> colors = ["#001499", "#ff7f00", "#9440ed", "#edc240", "#238c3f",
> >> "#a60085", "#00cca3", "#464f8c", "#005947", "#00004d",
> >>         "#cc0052", "#591616", "#7d8060", "#299da6", "#9c8fbf",
> >> "#4c132a", "#8c3f23", "#85cc33", "#607980", "#7c30bf", "#bf9360",
> >>         "#324d13", "#13394d", "#4c1659", "#b25f00", "#99cca7",
> >> "#669ccc", "#594358"]
> >>
> >> fig, ax1 = plt.subplots()
> >> ax2 = ax1.twinx()
> >>
> >> for i, d  in enumerate(data):
> >>     ax1.bar(i + .25, d, .5, zorder=0, alpha=0.5, label = labels[i],
> >> color=colors[i % len(colors)])
> >>
> >> percent  = [d*1.0/sum(data) * 100 for d in np.cumsum(data)]
> >> ax2.plot(np.arange(len(data)) + 0.5, percent, linestyle='-',
> >> color='k', linewidth=2, zorder=5)
> >>
> >> ax1.set_xticks(np.arange(len(data)) + 0.5)
> >> ax1.set_xticklabels(labels, rotation=30, ha='right')
> >> #ax1.legend()
> >>
> >> ax1.set_ylabel('Defects')
> >> ax2.set_ylabel('Percentage')
> >> ax2.set_ylim(0,110)
> >>
> >> plt.show()
> >>
> >>
> >> On Mon, Sep 24, 2012 at 11:43 PM, Paul Hobson <pmh...@gm...>
> wrote:
> >> >> On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay
> >> >> <pau...@gm...>
> >> >> wrote:
> >> >>>
> >> >>> Here is my example of a Pareto chart.
> >> >>>
> >> >>> For an explanation of a Pareto chart:
> >> >>>
> >> >>> http://en.wikipedia.org/wiki/Pareto_chart
> >> >>>
> >> >>> Could I get this chart added to the matplolib gallery?
> >> >>>
> >> >>>
> >> >>> Thanks
> >> >>>
> >> >>> Paul
> >> >>>
> >> >
> >> >> On 9/24/12 4:40 PM, Benjamin Root wrote:
> >> >> Your code looks overly complicated.  You shouldn't have to be doing
> the
> >> >> connection to the ylim_changed event, I don't think.  I think your
> main
> >> >> problem is that you are calling ax1.plot instead of ax2.plot.
> >> >>
> >> >> I am not against adding more examples to the gallery, but this would
> >> >> have to
> >> >> be cleaned up before it gets included.
> >> >>
> >> >> Ben Root
> >> >
> >> > On Mon, Sep 24, 2012 at 5:50 PM, Paul Tremblay <
> pau...@gm...>
> >> > wrote:
> >> >> I took my example from the matplotlib pages itself:
> >> >>
> >> >> http://matplotlib.org/examples/api/fahrenheit_celcius_scales.html
> >> >>
> >> >> If you know a better way, please show me.
> >> >>
> >> >> P.
> >> >
> >> > Paul,
> >> >
> >> > That example is an overly complicated template for making a pareto
> >> > chart.
> >> >
> >> > Here's how I'd do it:
> >> >
> >> > # data
> >> > defects = [0, 32, 22, 15, 5, 2]
> >> > labels = ['', 'vertical', 'horizontal', 'behind', 'left area',
> 'other']
> >> >
> >> > # axes
> >> > fig, ax1 = plt.subplots()
> >> > ax2 = ax1.twinx()
> >> >
> >> > # plotting
> >> > ax1.bar(np.arange(len(defects))-0.4, defects, zorder=0, alpha=0.5)
> >> > ax2.plot(np.cumsum(defects), linestyle='-', color='k', linewidth=2,
> >> > zorder=5)
> >> >
> >> > # formatting
> >> > ax1.set_xticks(np.arange(len(defects)))
> >> > ax1.set_xticklabels(labels)
> >> > ax1.set_ylabel('Defects')
> >> > ax2.set_ylabel('Percentage')
> >> > plt.show()
> >> >
> >> >
> >> >
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