When you do a line scatter plot in excel and data is missing between
two observations excel doesn't connect those two observations with a
line. So what you see is a line with gaps where the data is missing.
Missing data is
defined as having x values but no y value or vice versa. Is there a
good way to get similar behavior in matplotlib?
I tried to attach a bmp that had an example but the mail server
rejected it on the grounds it was too large.
--Tom
If you are using 0.87.3, you can do this:
plot([1.1, 2, nan, 3, 5])
On Tuesday 27 June 2006 14:16, Tom Denniston wrote:
When you do a line scatter plot in excel and data is missing between
two observations excel doesn't connect those two observations with a
line. So what you see is a line with gaps where the data is missing.
Missing data is
defined as having x values but no y value or vice versa. Is there a
good way to get similar behavior in matplotlib?
Thanks John and Darren. I think i'll use the nan trick for now but
the masked array looks incredibly powerful. I'll take a look at the
masked array demo. Thanks once again for your help and some really
awesome plotting software!
--Tom
On 6/27/06, Darren Dale <dd55@...163...> wrote:
On Tuesday 27 June 2006 14:16, Tom Denniston wrote:
> When you do a line scatter plot in excel and data is missing between
> two observations excel doesn't connect those two observations with a
> line. So what you see is a line with gaps where the data is missing.
> Missing data is
> defined as having x values but no y value or vice versa. Is there a
> good way to get similar behavior in matplotlib?If you are using 0.87.3, you can do this:
plot([1.1, 2, nan, 3, 5])
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