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'''
Simplified charting library based on matplotlib.
Works best with data sets prepared using toys.collect
'''
import hashlib
import matplotlib.pyplot as plt
import toys.collect as collect
def get_colour(s):
override = {
'lava' : 'orange',
'LAVA' : 'orange',
'96boards' : 'red',
'96Boards' : 'red',
'Marvell' : 'green',
'Hisilicon' : 'pink',
# Daniel Thompson and Leo Yan both hash orange
'Daniel Thompson' : 'green',
}
if s in override:
return override[s]
return '#{}'.format(hashlib.md5(str(s).encode('UTF-8')).hexdigest()[-6:])
def stacked_barchart(things, filename, title=None, xlabel=None, ylabel=None):
x_labels = sorted(things.keys())
legend_labels = set()
for y in things.values():
legend_labels |= set(y.keys())
legend_labels = sorted(legend_labels)
plots = []
left = range(len(x_labels))
# Working in reverse order allows us to stack things so that the
# (alphabetic) legend is geometrically consistant with the stacks
# on the charts.
cumulative_height = [ 0 for x in x_labels ]
for y in sorted(legend_labels, reverse=True):
values = [ things[x][y] for x in x_labels ]
plots.append(plt.bar(left, values, 1,
bottom=cumulative_height, color=get_colour(y), edgecolor='black'))
cumulative_height = [ c+v for c, v in zip(cumulative_height,
values) ]
# Now we must reverse plots in order to match it back up with the
# legend labels
plots.reverse()
if title:
plt.title(title)
if xlabel:
plt.xlabel(xlabel)
if ylabel:
plt.ylabel(ylabel)
plt.xticks([ x+0.5 for x in left ], x_labels, rotation=90)
lgd = plt.legend(plots, legend_labels, bbox_to_anchor=(1.05, 1), loc=2)
plt.savefig(filename, bbox_extra_artists=(lgd,), bbox_inches='tight')
plt.close()
def piechart(things, filename, title=None):
labels = sorted(things.keys())
counts = [ things[l] for l in labels ]
colours = [ get_colour(l) for l in labels ]
wedges, texts = plt.pie(counts, colors=colours, startangle=90)
for w in wedges:
w.set_edgecolor('black')
plt.legend(wedges, collect.add_percent_labels(labels, counts), loc="best")
plt.axis('equal')
if title:
plt.suptitle(title, fontsize=14)
plt.tight_layout()
plt.savefig(filename)
plt.close()
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