在Python中绘制bin大小

Question

我已将数据切割成几个箱子，并希望在直方图中绘制每个箱子的大小/频率。 y轴是bin频率，x标签是bin范围。

目前我有：

out = pd.cut(data.hour, bins = filter_values, include_lowest = True)
counts = pd.value_counts(out)
print(counts)`

哪个输出：

[0, 5]      1000
(19, 23]       0
(15, 19]       0
(11, 15]       0
(8, 11]        0
(5, 8]         0
Name: hour, dtype: int64

我该怎么做？

Answer 1

演示（一步一步）：

In [51]: filter_values = [0, 5, 11, 15, 19, 23]

生成样本DF：

In [52]: df = pd.DataFrame({'hour':np.random.randint(0, 23, 20)})

In [53]: df
Out[53]:
    hour
0      5
1     18
2     19
3      5
4     16
5     18
6     18
7     19
8      0
9      8
10    14
11    20
12     9
13    22
14     8
15     0
16     0
17     4
18    13
19    18

建筑垃圾箱

In [54]: out = pd.cut(data.hour, bins = filter_values, include_lowest = True)

In [55]: out
Out[55]:
0       [0, 5]
1     (11, 15]
2     (15, 19]
3     (11, 15]
4      (5, 11]
5       [0, 5]
6       [0, 5]
7       [0, 5]
8       [0, 5]
9      (5, 11]
10      [0, 5]
11      [0, 5]
12    (11, 15]
13    (15, 19]
14     (5, 11]
15    (15, 19]
16     (5, 11]
17    (19, 23]
18     (5, 11]
19      [0, 5]
Name: hour, dtype: category
Categories (5, object): [[0, 5] < (5, 11] < (11, 15] < (15, 19] < (19, 23]]

计数：

In [56]: counts = out.value_counts(sort=False)

In [57]: counts
Out[57]:
[0, 5]      8
(5, 11]     5
(11, 15]    3
(15, 19]    3
(19, 23]    1
Name: hour, dtype: int64

积

In [58]: counts.plot.bar(rot=False)
Out[58]: <matplotlib.axes._subplots.AxesSubplot at 0xa427b00>