本文整理汇总了Python中pycmbs.data.Data._get_days_per_month方法的典型用法代码示例。如果您正苦于以下问题：Python Data._get_days_per_month方法的具体用法？Python Data._get_days_per_month怎么用？Python Data._get_days_per_month使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycmbs.data.Data的用法示例。
在下文中一共展示了Data._get_days_per_month方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: sum
# 需要导入模块: from pycmbs.data import Data [as 别名]
# 或者: from pycmbs.data.Data import _get_days_per_month [as 别名]
print air.date
# obviously the different months have different numbers of days.
# Let's say you want now to perform a proper averaging of the data
# taking into account the different lengths of the months
#
# the way how you would do it is like
# y = sum(w[i] * x[i])
# whereas w is a weighting factor for each timestep and 'x' is the input data
# how can you easily do that with the Data object?
# 1) calculate the weights ...
# these are dependent on the number of days which you get as ...
ml = air._get_days_per_month()
print ml
w = ml / float(sum(ml)) # relative weights
print w
print 'The sum of the weights should be 1.: ', sum(w)
# 2) now we need to multiply the data with the weights and then
# sum up over time
new = air.mul_tvec(w, copy=True) # check also the other options of this routine!
res = new.timsum(return_object=True) # gives a 2D array with weighted results
print res.shape
map_plot(air, title='classical unweighted temporal mean', show_stat=True)
map_plot(res, title='weighted temporal mean', show_stat=True)
map_plot(air.sub(res), title='difference', show_stat=True, cmap_data='RdBu_r', vmin=-0.1, vmax=0.1)