Treatment of gaps in timeseries plots
add option to drop parts of the xaxis without data

from mailing list:

Hi,

I am having difficulty sorting out how to do any intra-day plot of time series data in matplotlib or pandas.  I have looked through the documentation and also purchased the Python_for_Data_Analysis ebook but it does not seem covered in either.  There are many references to daily samplings.

I can produce images by using the DataFrame.plot or Series.plot function.  This results in a well laid out plot, except for the hours outside of my timeseries (in the example of exchange hours for financial data) are included in the axis and interpolated.  If I give it the criteria use_index=False, the plot looks as I would expect but I look my Timestamp index and it becomes an integer index as I would receive if I used matplotlib/pyplot.  

I am looking for direction on this and to recommend an inclusion of this topic in either the references and documentation.  Pandas is great and I love learning and working with it.  
