Re: [Matplotlib-users] Plot a Dictionary, time and value

[Johann Cohen-T. <co...@sl...>]

hmm, reading the initial email, this is not what I understood the idea 
would be. So let me the following : I have a dictionnary with the 7 days 
of week as keys (strings) and a value attached to it. I would like to 
plot the days of the week in x and the corresponding values in y. It 
amounts  to a histogram of 7 bins, and to correctly labeling the ticks 
with the keys instead of the integer 0...6. So it becomes kind of a bar 
chart. See p.40 of ftp://root.cern.ch/root/doc/3Histograms.pdf for an 
illustration.

I would imagine that requesting to plot a dictionary would naturally 
mean this kind of result, but I may overlook  possible ambiguities.
Anyway, that is what I understood the initial question was.

Johann
 

John Hunter wrote:
> On Wed, Jul 30, 2008 at 9:17 AM, stuartornum <st...@mu...> wrote:
>   
>> Hi,
>>
>> Wondering if anyone has done something similar and could point me in the
>> right direction.
>>
>> I have a dictionary like this:
>>
>> Dict{'00:00:00':'23', '00:01:00':'29', '00:02:00':'13', '00:03:00':'78',
>> '00:04:00':'45', >....> '23:59:00':54}
>>
>> So as you can see there is 24 hours worth of minutes, with a value attached
>> to each minute.
>>
>> Firstly, just to note the Dictionary "Dict" is not actually in order as
>> above, it is all jumbled up.
>>
>> However is it possible to plot a dictionary using MatPlotLib, and using the
>> time along the x-axis and values up the y?
>>     
>
> You will have to extract the x and y values, and convert them from
> strings to values matplotlib can understand (for example dates and
> floating point numbers).  Eg
>
>
> In [30]: d = {'00:00:00':'23', '00:01:00':'29', '00:02:00':'13',
> '00:03:00':'78',
> '00:04:00':'45', '23:59:00':54}
>
> In [32]: from dateutil.parser import parse
>
> In [33]: items = [(parse(date), float(val)) for date, val in d.items()]
>
> In [34]: items.sort()
>
> In [35]: items
> Out[35]:
> [(datetime.datetime(2008, 7, 30, 0, 0), 23.0),
>  (datetime.datetime(2008, 7, 30, 0, 1), 29.0),
>  (datetime.datetime(2008, 7, 30, 0, 2), 13.0),
>  (datetime.datetime(2008, 7, 30, 0, 3), 78.0),
>  (datetime.datetime(2008, 7, 30, 0, 4), 45.0),
>  (datetime.datetime(2008, 7, 30, 23, 59), 54.0)]
>
> In [36]: dates, values = zip(*items)
>
> In [37]: plot(dates, values)
> Out[37]: [<matplotlib.lines.Line2D object at 0xb45a5ec>]
>
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