Hi,
as nobody answered up to now I may make my (tiny) contribution.
On Friday 24 July 2009 22:58:10 per freem wrote:
Hi all,
i have a simple scatter plot, where the x axis and y axis are on different
scales starting from 0. the x axis here ranges from 0 to 300 and the y axis
from 0 to 1. i
Hi all,
i have a simple scatter plot, where the x axis and y axis are on different
scales starting from 0. the x axis here ranges from 0 to 300 and the y axis
from 0 to 1. i plot it as follows:
my_fig = plt.figure(figsize=(6,5), dpi=100)
x = rand(100)*300
y = rand(100)
plt.scatter(x, y)
I am creating a 2 dimensional histogram that I would like to plot as
a contourf plot with
matplotlib. I am using numpy to generate the histogram, but when I
plot it the tick marks
are of course the index of the histogram array. How do I change these
tick labels to
the value of the bins used
Tommy,
The easiest way is probably to provide contourf with x and y arguments
corresponding to the bin centers. The x vector would have an entry for
each column in your Z(x,y), and the y vector an entry for each row.
In [1]:z = rand(10,20)
In [2]:x = 2*arange(20)
In [3]:y = 2*arange(10)
