问题
I'm plotting some 2-D time series data, and I want to mark specific dates on the plot with an X or some other marker. For example, if I have all the data for each date running for the last 6 months, and I want to point out where Christmas was on this plot. What would be the easiest way to accomplish this? I can do it manually, but would prefer to add something that automates it in my code.
Edit: My attempt at this so far. Not sure if there is anything the would work better. I had some trouble comparing the date objects, which is why the comparison string is split up as it is.
filt1.plot(figsize=(16,16))
filt3=filtered[(filtered.index.year==2012)&(filtered.index.month==12)&(filtered.index.day==25)]["Income_MA"]
filt3.plot(style="ro")
回答1:
Following up on tcaswell's comment, something like this might work for you?
df = pd.Series(np.random.rand(180), index=pd.date_range(start=pd.datetime(2000, 9, 1), periods=180, freq='D'))
xmas_date = pd.datetime(2000, 12, 25)
myax = df.cumsum().plot()
ylims = myax.get_ylim()
myax.vlines(xmas_date, ylims[0], ylims[1])
myax.annotate("Xmas", xy=(xmas_date, ylims[1]),
xytext=(-12, 5),
textcoords='offset points')
myax.set_ylim(ylims)
Giving
This is a fragile solution because I've manually set a single date to annotate but it should be pretty easy to wrap that code in a function and call it for every date you're interested in.
来源：https://stackoverflow.com/questions/21638727/marking-event-points-on-a-pandas-plot