Re: [Matplotlib-users] A request for a Matplotlib extension to hist

On 24-Apr-2015 12:58, Christian Alis wrote:
> I had the same problem some time ago and what I did is to use bar() to
> plot the histogram, which can be done in one line:
>
> hist, bin_edges = np.histogram(data)
> plt.bar(bin_edges[:-1], hist)
Very elegant Christian :-)
>
> Perhaps this trick can be added in the documentation?
Well, I vote to add it. However, I did find the following nice example (after 
reading your email) that shows how the bar function might be used 
(http://matplotlib.org/examples/api/barchart_demo.html) for my problem. Had I 
seen this before, I probably would not have posted this request.:-[
>
> I am willing to code Virgil's request if many will find this useful.
>
>
> On Fri, Apr 24, 2015 at 11:33 AM, Virgil Stokes <vs...@it...> wrote:
>> I have some Python (2.7.9) code that processes some rather large data sets
>> to determine the curvatures along 2D curves. One feature of these data that
>> I like to look at is the distribution of the curvatures. I use NumPy to to
>> determine histograms for each set, and save the histogram parameters
>> returned from numpy.histogram in a file.
>>
>> I would like to use Matplotlib to plot histograms from the parameters
>> returned in NumPy and stored in a file --- why? Because the size of my data
>> sets does not allow for the use of the histogram plot function in Matplotlib
>> (1.4.3); i.e., it needs the data sets to calculate the histogram, before
>> doing the plot. I would like to have a histogram plot function in Matplotlib
>> that could bypass the actual calculation of the bin counts and edges from
>> the data, and use values of these found a priori. Of course, an obvious
>> question is -- Why not write code to plot the rectangles yourself? Yes, I
>> could do this; but, why not extend the Matplotlib histogram class to allow
>> for this option? If I better understood Matplotlib, I would try this myself.
>> Maybe it is possible to get this into the next planned release (1.5). :-)
>>
>> If this request is inappropriate for this list, then please accept my
>> apology and direct me to where I should send this request.
>>
>> Best regards.
>>
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Keep up the good work on Matplotlib and I look forward to vers. 1.5 :-)