Re: [Matplotlib-users] Plot a Dictionary, time and value
Hello, excuse the late reply. But you may be interested in the timeseries scikit: http://scipy.org/scipy/scikits/wiki/TimeSeries http://www.scipy.org/Cookbook/TimeSeries/FAQ Have success! Kind regards, Timmie - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plot a Dictionary, time and value
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 [EMAIL PROTECTED] 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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Re: [Matplotlib-users] Plot a Dictionary, time and value
Thank you John,
Just what I was looking for.
John Hunter-4 wrote:
On Wed, Jul 30, 2008 at 9:17 AM, stuartornum [EMAIL PROTECTED] 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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[Matplotlib-users] Plot a Dictionary, time and value
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?
Thank you in advanced
--
View this message in context:
http://www.nabble.com/Plot-a-Dictionary%2C-time-and-value-tp18734294p18734294.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
-
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Re: [Matplotlib-users] Plot a Dictionary, time and value
On Wed, Jul 30, 2008 at 9:17 AM, stuartornum [EMAIL PROTECTED] 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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Build the coolest Linux based applications with Moblin SDK win great prizes
Grand prize is a trip for two to an Open Source event anywhere in the world
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