6
votes

I am currently generating the plot below: plot

with this code:

ax = plt.subplots()
ax.plot(intra.to_pydatetime(), data)
plt.title('Intraday Net Spillover')
fig.autofmt_xdate()

where intra.to_pydatetime() is a: <bound method DatetimeIndex.to_pydatetime of <class 'pandas.tseries.index.DatetimeIndex'> [2011-01-03 09:35:00, ..., 2011-01-07 16:00:00] Length: 390, Freq: None, Timezone: None>

So the dates go from 2011-01-03 09:35:00, increments by 5 minutes until 16:00:00, and then jumps to the next day, 2011-01-04 09:35:00 until 2011-01-04 16:00:00, and so on.

How can I avoid plotting the gaps between 16:00:00 and 9:30:00 on the following day? I don't want to see these straight lines.

UPDATE:

I will try this to see if it works.

1
I don't know if that's not too complicated, but I did that once by seperating the plotted series into multiple series and plotted each on its own, as I don't know how pandas should know what's a gap and what isn't. - Blutkoete
Addendum: In one plot, but as seperate series, with same colour and linestyle, only giving a legend entry to the first. - Blutkoete
For other users, although question is old, please review my answer and accept it if it worked. - Overdrivr

1 Answers

5
votes

Simply set the two values defining the line you don't want to see as NaN (Not a Number). Matplotlib will hide the line between the two values automatically.

Check out this example : http://matplotlib.org/examples/pylab_examples/nan_test.html