|
From: Bill B. <bi...@ea...> - 2014-03-12 22:08:41
|
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 |