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 dataignoring 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