Hello, am using the scikit.timeseries to convert a hourly timeseries to a lower frequency unsing the appropriate function [1].
When I compare the result to the values calculated with a Pivot table in Excel there is a difference in the values which reaches quite high values in the total sum of all monthly values. I found out that the differnec arises from different decimal settings: In Python the numbers show: 12.88888888 whereas in Excel I see: 12.8888888888888 The difference due to the different decimals is small for single values and accumulates to a 2-digit number for the total of all values. * Why do these differences arise? * What can I do to achive comparable values? Thanks in advance for any hint, Marco [1] http://pytseries.sourceforge.net/generated/scikits.timeseries.convert.html P.S.: Sorry if this is a numpy question but as I was using the scikit I though this is the right forum. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion