Re: [Matplotlib-users] for Posterior predictive data distributions

[Thomas C. <tca...@gm...>]

Juan,

If you join the mailing list you will be able to post without moderation.

Those look like a combination of `ax.hist` or `ax.bar` + `ax.plot(x, y,
lw=3, c='k')` + `fig, ax_list = plt.subplots(1, 6)` + turning off some of
the spines + `fig.text` for the shared axes labels and `fig.suptitle` for
the titles.

Tom

On Sun, Jun 7, 2015 at 3:06 PM Juan Wu <wuj...@gm...> wrote:

> Hi, Experts,
>
> My colleagues and I have a question, how we can make a plot via python
> like below. According to a guy's original paper, "Each panel shows the
> normalized histograms of the observed data (bar plots) and the model
> prediction (black lines) ".
>
> I believe that people can make it with Matplotlib. Any code suggestion
> (with simple example data) would be much appreciated.
>
> (I am more comfortable with Matlab, but now the python code is preferred).
>
> J
>
>
> [image: Inline image 3]
>
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