直方图(numpy.hist
,plt.hist
)通常是连续的数据,您可以很容易地在箱中分开。
这里要算相同的元组:你可以使用collection.Counter
from collections import Counter
k = [(8, 8),(10, 10),(8, 8),
(8, 8),(12, 12),(7, 7),(8, 8),
(9, 9),(10, 10),(10, 10),(8, 8),(9, 9),(13, 13),
(10, 10),(8, 8),(8, 8),(7, 7)]
c=Counter(k)
>>> Counter({(8, 8): 7, (10, 10): 4, (9, 9): 2, (7, 7): 2, (13, 13): 1, (12, 12): 1})
一些格式后,您可以使用plt.bar
绘制每个元组的数量,以直方图的方式。
# x axis: one point per key in the Counter (=unique tuple)
x=range(len(c))
# y axis: count for each tuple, sorted by tuple value
y=[c[key] for key in sorted(c)]
# labels for x axis: tuple as strings
xlabels=[str(t) for t in sorted(c)]
# plot
plt.bar(x,y,width=1)
# set the labels at the middle of the bars
plt.xticks([x+0.5 for x in x],xlabels)
![tuple bar plot](https://i.stack.imgur.com/3u2rk.png)