I plot a lot of data on daily cycles, where there is no data collected at night. Let’s mock up some sample data with the following simple code:
IDL> x = [findgen(10), findgen(10) + 25, findgen(10) + 50] IDL> seed = 0L IDL> y = randomu(seed, 30) IDL> plot, x, y
Then I get a plot like this:
This plot doesn’t show the nightly breaks in data well. Connecting the last data point collected from a day to the first data point collected the next day emphasizes the trend between these points, which may not be appropriate.
I have been using a fairly simple routine to insert NaNs into the data to break the plot into disconnected sections. For example, modify the above data for plotting with:
IDL> new_y = mg_insert_nan(x, y, [10.0, 35.0], new_x=new_x) IDL> plot, new_x, new_y
The new plot shows the gaps between the “days” in the data: