Yes,

I am plotting two lines and am using two

plots, the two lines plots just fine in different colors, however, one line is

continuous from 1983 – 1995 and the other dataset has irregular data

points along the same period of time. So I should see a continuous line for

the first data set and I should see a broken line only where there is data for

the second. Matplotlib is joining the broken points and forces both datasets

to appear as continuous.

What do you think is the solution?

Thanks

Joseph

## ···

**From:** Michael

Schwager [mailto:hws@…1194…]

**Sent:** Friday, July 21, 2006 2:33

PM

**To:** Rodrigues, Joseph;

matplotlib-users@lists.sourceforge.net

**Subject:** RE: [Matplotlib-users]

iregular data set

Hi, I’m also new to

matplotlib, but this sounds like a general type of problem you might in find in

matlab too. I think you are trying to plot two separate lines, one for

the first set of time and one for the second set of time. If you

don’t want them connected then you must issue two plot() commands, which

means you have to split the data into the sections that you want connected.

Michael

**From:**

matplotlib-users-bounces@lists.sourceforge.net

[mailto:matplotlib-users-bounces@lists.sourceforge.net] **On Behalf Of** Rodrigues, Joseph

**Sent:** Friday, July 21, 2006 11:25

AM

**To:**

matplotlib-users@lists.sourceforge.net

**Subject:** [Matplotlib-users]

iregular data set

I have a question (new user here): I

have datasets of irregular time spaced data and am having a problem with

Matplot lib.

I am plotting two datasets: one is

continuous time series data (simple line chart) and the other irregular time

series data.

The problem I have is: MatPlotLib is

interpolating data for the irregular data where there is no data.

So if I have data from 1985 –

1989 then no data for 1990 – 1994, matplotlib is drawing a line

connecting the missing data.

How does one plot irregular spaced

time series data?

Thanks

Joseph

p.s.: if this is the wrong forum,

could you let me know where to post?