Dev*_*vEx 2 python matplotlib pandas
考虑以下pandas数据帧:
time val server state
2015-01-01 00:00:00 10 server01 normal
2015-01-01 00:02:00 18 server01 high
2015-01-01 00:03:00 41 server01 high
2015-01-01 00:04:00 22 server01 high
2015-01-01 01:05:00 32 server01 normal
2015-01-01 01:06:00 10 server01 high
2015-01-01 01:07:00 42 server01 normal
2015-01-01 01:08:00 24 server01 normal
...........
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在时间序列图上绘制时,如何绘制区域在哪里state = high?
像这样的东西:
由于您只想绘制一个只有一个'high'状态的周期的跨度,您需要建立一个人工缓冲区来分别设置每组的最大值和最小值.
p = pd.Timedelta(30, unit='s')
df.val.plot()
for (state, _), g in df.groupby(['state', df.state.ne('high').cumsum()]):
if state == 'high':
start = g.index.min() - p
end = g.index.max() + p
plt.axvspan(start, end, color='r', alpha=0.2)
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