我是一名 Python 新手，我正在尝试绘制一周中每天的提交数量。
我的输出为 pandas 数据框。但是，我无法弄清楚如何使用 matplotlib 绘制这些数据。
非常感谢任何帮助!
import requests
import json
import pandas as pd
r = requests.get('https://api.github.com/repos/thisismetis/dsp/stats/commit_activity')
raw = r.text
results = json.loads(raw)
print pd.DataFrame(results)
结果:
days total week
0 [0, 0, 0, 0, 0, 0, 0] 0 1431216000
1 [0, 0, 0, 0, 0, 8, 0] 8 1431820800
2 [0, 19, 1, 4, 18, 8, 0] 50 1432425600
3 [0, 3, 23, 1, 0, 0, 0] 27 1433030400
4 [1, 0, 0, 0, 1, 0, 0] 2 1433635200
5 [0, 0, 0, 0, 0, 0, 0] 0 1434240000
6 [0, 2, 0, 0, 0, 0, 0] 2 1434844800
7 [0, 0, 0, 0, 0, 0, 0] 0 1435449600
8 [0, 0, 0, 0, 0, 0, 0] 0 1436054400
9 [0, 0, 0, 0, 0, 0, 0] 0 1436659200
10 [0, 0, 8, 0, 3, 0, 0] 11 1437264000
11 [0, 3, 36, 0, 1, 9, 0] 49 1437868800
12 [0, 2, 2, 2, 5, 1, 0] 12 1438473600
13 [0, 0, 0, 0, 0, 0, 0] 0 1439078400
14 [0, 2, 0, 0, 0, 0, 0] 2 1439683200
15 [0, 0, 0, 0, 0, 0, 0] 0 1440288000
16 [0, 0, 0, 0, 0, 0, 0] 0 1440892800
17 [0, 0, 0, 0, 0, 0, 0] 0 1441497600
18 [0, 0, 0, 0, 0, 3, 0] 3 1442102400
19 [0, 0, 0, 0, 0, 0, 0] 0 1442707200
20 [0, 0, 0, 0, 0, 0, 0] 0 1443312000
21 [0, 0, 0, 0, 0, 0, 0] 0 1443916800
22 [0, 0, 0, 0, 0, 0, 0] 0 1444521600
23 [0, 0, 10, 0, 0, 0, 0] 10 1445126400
24 [0, 0, 0, 0, 0, 0, 0] 0 1445731200
25 [1, 0, 0, 0, 0, 0, 0] 1 1446336000
26 [0, 0, 0, 0, 4, 3, 0] 7 1446940800
27 [0, 0, 0, 0, 0, 0, 0] 0 1447545600
28 [0, 0, 0, 0, 0, 0, 0] 0 1448150400
29 [0, 0, 0, 0, 0, 0, 0] 0 1448755200
30 [0, 0, 0, 0, 0, 0, 0] 0 1449360000
31 [0, 0, 0, 0, 0, 0, 0] 0 1449964800
32 [0, 0, 0, 0, 0, 0, 0] 0 1450569600
33 [0, 0, 0, 0, 0, 0, 1] 1 1451174400
34 [0, 0, 0, 0, 0, 0, 0] 0 1451779200
35 [0, 0, 0, 0, 0, 0, 0] 0 1452384000
36 [0, 0, 0, 0, 0, 0, 0] 0 1452988800
37 [0, 0, 0, 0, 0, 0, 0] 0 1453593600
38 [0, 0, 0, 0, 0, 0, 0] 0 1454198400
39 [0, 0, 5, 2, 0, 0, 0] 7 1454803200
40 [0, 0, 25, 2, 0, 0, 0] 27 1455408000
41 [1, 10, 0, 0, 3, 0, 0] 14 1456012800
42 [0, 0, 0, 0, 0, 0, 0] 0 1456617600
43 [0, 0, 0, 0, 0, 0, 0] 0 1457222400
44 [0, 0, 0, 2, 1, 0, 0] 3 1457827200
45 [0, 0, 0, 0, 0, 0, 0] 0 1458432000
46 [0, 0, 0, 0, 0, 0, 0] 0 1459036800
47 [0, 0, 0, 0, 0, 0, 0] 0 1459641600
48 [0, 0, 0, 0, 0, 0, 0] 0 1460246400
49 [0, 0, 0, 0, 0, 0, 0] 0 1460851200
50 [0, 0, 0, 0, 0, 0, 0] 0 1461456000
51 [0, 0, 0, 0, 0, 0, 0] 0 1462060800
最佳答案
你可以这样做:
df['date'] = pd.to_datetime(df.week, unit='s')
df['week_no'] = df.apply(lambda x: '{:d}-{:02d}'.format(x['date'].year, x['date'].weekofyear), axis=1)
df.set_index('week_no')['total'].plot.bar()
关于python - Github-API : How do I plot the number of commits to a repo?，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/36986223/