i am reading a csv file of stock date with daily data (weekdays) and dates
represented as strings. when i convert dates to datetime format, weekends
and holidays are introduced as nans leaving holes in the plot. web
searches led me to this.
is this still the case? seems like a lot of trouble for such a common
inconvenience.
from mpl documentation
http://matplotlib.org/examples/pylab_examples/date_index_formatter.html
"""
> When plotting daily data, a frequent request is to plot the data
> ignoring skips, eg no extra spaces for weekends. This is particularly
> common in financial time series, when you may have data for M-F and
> not Sat, Sun and you don't want gaps in the x axis. The approach is
> to simply use the integer index for the xdata and a custom tick
> Formatter to get the appropriate date string for a given index.
> """
this was originally posted to pydata
https://groups.google.com/forum/?fromgroups#!topic/pydata/LiHQqurY440
thanks in advance. Bill
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