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
import matplotlib.pyplot as plt
import numpy as np
def update_ax2(axx):
ax2.set_ylim(0, 100)
ax2.figure.canvas.draw()
# 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
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
# create the callback to automatically update the y axis
ax1.callbacks.connect("ylim_changed", update_ax2)
# create an upper limit for the y axis.
# The upper limit is the sum of all the numbers
ax1.set_ylim(ymax=the_sum)
rects1 = ax1.bar(ind, defects, width=width) # draw the chart
line, = ax1.plot(x, the_cumsum) # draw the line
ax1.set_xticks(ind+ .5 * width) # 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()
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