matplotlib-users Mailing List for matplotlib

Dear Paul,
               The issue I am facing is like in the attached plot where the month naming get cluttered.
with best regards,
Sudheer

 
***************************************************************
Sudheer Joseph 
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21, IDA Jeedeemetla P.O.
Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:sjo...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************


>________________________________
> From: Sudheer Joseph <sud...@ya...>
>To: Paul Hobson <pmh...@gm...> 
>Cc: "mat...@li..." <mat...@li...> 
>Sent: Saturday, 8 June 2013 7:46 PM
>Subject: Re: [Matplotlib-users] time axis format
> 
>
>
>Thank you Paul for the helping hand,
>                                  However I was looking for slightly different solution like in the attached plots. I used ferret to do this based on the length of the time axis it chose the mode of labelling. for example in case of 2 year plot it made month labeling as j f m etc and in case of 1 year as there is enough space on x axis it made jan feb etc with single label of year. 
>
>In the attached python plot (ATser_RAMA_HYCOM_U_8n90e.png) every tick point is lablled for year, which I wanted to avoid and get plots similar to the first types thought it is not done automatically but at least
 manually.
>
>
>
>
> 
>***************************************************************
>Sudheer Joseph 
>Indian National Centre for Ocean Information Services
>Ministry of Earth Sciences, Govt. of India
>POST BOX NO: 21, IDA Jeedeemetla P.O.
>Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
>Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
>Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
>E-mail:sjo...@gm...;sud...@ya...
>Web- http://oppamthadathil.tripod.com
>***************************************************************
>
>
>>________________________________
>> From: Paul Hobson <pmh...@gm...>
>>To: Sudheer Joseph <sud...@ya...> 
>>Cc: "mat...@li..." <mat...@li...> 
>>Sent: Friday, 7 June 2013 8:50 PM
>>Subject: Re: [Matplotlib-users] time axis format
>> 
>>
>>
>>
>>
>>
>>
>>
>>On Thu, Jun 6, 2013 at 11:39 PM, Sudheer Joseph <sud...@ya...> wrote:
>>
>>Dear Experts,
>>>            I have been experimenting with the plot_dates option of matplotlib to plot time series data and have below questions
>>>
>>> I have used
>>>loc = mdates.AutoDateLocator()
>>>ax.xaxis.set_major_locator(loc)
>>>ax.xaxis.set_major_formatter(mpl.dates.DateFormatter('%b\n %Y'))
>>>
>>>
>>>and got the tick labels in attached plot
>>>
>>>However I feel the repeatd year labeling is not needed here and it is required once in a year only , Also if I need to plot long time seris insted of "MAR" "APR" I wanted to get them reduced to "M" "A" etc so that the lavel congestion can be avoided.
>>>
>>>
>>>I notice that below options are available, but was wondering how commbinatins of these locateors are used ie mark every month and every year once each.
>>>
>>>
>>>Is there a way to achive the above or does it need further development?
>>>
>>>fmt = mdates.DateFormatter('%Y-%m-%d')
>>>loc = mdates.WeekdayLocator(byweekday=mdates.MONDAY,interval=4)
>>>locator = mdates.YearLocator()
>>>
>>
>>
>>If I were trying to do this, I'd cobble something together using by the minor and major formatters.
>>e.g.,...
>>import matplotlib.dates as mdates
>>import matplotlib.pyplot as plt
>>
>>
>>fig, ax = plt.subplots()
>>
>>
>>majorLocs = mdates.MonthLocator(bymonth[1,7])
>>majorFmt = mdates.DateFormatter('%b\n%Y')
>>
>>
>>
>>minorLocs = mdates.MonthLocator(bymonth[1,7])
>>minorFmt = mdates.DateFormatter('%b')
>>
>>
>>
>>ax.xaxis.set_major_locator(majorLocs)
>>ax.xaxis.set_major_formatter(majorFmt)
>>
>>
>>
>>ax.xaxis.set_minor_locator(minorLocs)
>>ax.xaxis.set_minor_formatter(minorFmt)
>>
>>
>
>