nahren manuel wrote:
>
> Hello ,
> I have a two dimensional array, 40X20(rowsXcolumns). Each of the 40 rows
> themselves hold values of the bins of a distribution (which is not always
> normal, can expect a bimodal curve as well)
>
> It is little difficult to explain to I actually created a sam
I have this script that uses the matplotlib Slider object to control the
colormap of a histogram. This could be very close to what you want. Here is
the script:
### begin colormap_slider.py #
import math, copy
import numpy
from matplotlib import pyplot, colors, cm
Is there a way to set the style and scilimits to the colorbar axes? All my
attempts failed. For example, run the following script, I get the error
shown below:
### begin example script
import numpy
from matplotlib import pyplot
n = 500
x = numpy.random.standard_normal(n)
y = 2.0 + 3.0 * x +
There have been a lot of messages lately about histograms in general and I
though it was about time I share a bit of code I am using to handle them. I
have created a Histogram class that inherits directly from the numpy.ndarray
object. I then have a plothist() method which creates the plot on a ca
Thanks guys! This is exactly what I was looking for. The axes_grid1 toolkit
works like a charm. I have attached a revised version of the example I had
before with a few minor modifications and some descriptive text at the top.
Is there a standard way for non-developers (i.e. users) to contribute
Hello,
A common task I have is to histogram one variable of a multidimensional
dataset as a function of two (or more) variables. I have attached an example
which shows exactly what I would like to do.
The problem I would like to solve is the zoomed in x-axis which is the last
part of the script a
