Question

我需要使用matplotlib在Python中制作直方图。我的数据是每月发生频率的元组，如下所示，其中x轴应显示月份，y轴应显示频率。有人可以帮忙吗？

  state = {
    todos: [
      { id: 432402, title: "Make some music", isDone: false },
      { id: 421402, title: "Conquer the world", isDone: false },
      { id: 427740, title: "Go to the mall", isDone: true },
      { id: 471402, title: "Do some homework", isDone: false }
    ]
  };

Answer 1

如果您想要相对于月份的直方图，则应执行以下操作：

import calendar
dmonths = dict((v,k) for k,v in enumerate(calendar.month_abbr))

import numpy as np
from matplotlib import pyplot as plt

list1 = [('Jun-07', 10),
 ('Jun-08', 15),
 ('Jun-09', 16),
 ('Nov-07', 17),
 ('Nov-08', 16),
 ('Nov-09', 14),
 ('May-11', 16),
 ('May-10', 18),
 ('May-13', 14),
 ('May-12', 14),
 ('May-14', 12),
 ('Jun-14', 10),
 ('Jun-11', 14),
 ('Jun-10', 19),
 ('Jun-13', 13),
 ('Jun-12', 14),
 ('Feb-09', 10),
 ('Nov-14', 10),
 ('Nov-13', 12),
 ('Nov-12', 13)]

list2 = [dmonths[x[0][:3]] for x in list1]
list3 = [x[1] for x in list1]

plt.hist(np.array(list2), bins=np.array(range(1,12)), weights=np.array(list3))

前两行给出了从月份到整数的查找表。然后，您只需要提取月份的名称，将它们转换为整数，然后绘制直方图，并将值作为权重即可。

Answer 2

import matplotlib.pyplot as plt

def histogram():
    set_list = set(link_list)
    return [(idx, link_list.count(idx)) for idx in set_list]

xx, yy = [datetime.strptime(idx[0],'%b-%y') for idx in his_sorted],
         [idx[1] for idx in his_sorted]
plt.bar(xx, yy, width = 50)

每月频率的Python直方图

2 个答案: