Open asdf8601 opened 8 years ago
Hi Maximilano,
assuming data.YT1.values
is a list, you should do the following:
tsdata = pycast.common.TimeSeries.from_twodim_list(data.YT1.values, tsformat=None)
esm = es.execute(tsdata)
Using the TimeSeries
instance makes sure that all normalization and sorting requirements are meet.
Best Regards,
Christian
Hi Christian,
Thanks for you answer. I see, maybe, a mistake in tsformat=None
rather format=None
??
It's correct the assumption but doesn't work yet.
The data:
print(data.head())
YT1 YT2 YT3 YT4
obs
1977-01-01 299.888916 155.612167 20.621498 295961.18750
1977-04-01 309.952911 160.179184 24.661081 301999.03125
1977-07-01 320.075104 164.102615 21.050383 308159.75000
1977-10-01 329.241852 170.582764 22.007036 314433.12500
1978-01-01 337.308044 174.714935 21.286356 320814.09375
print(data.tail())
YT1 YT2 YT3 YT4
obs
2008-10-01 1542.907593 790.39679 27.648138 22784.337891
2009-01-01 NaN NaN NaN NaN
2009-04-01 NaN NaN NaN NaN
2009-07-01 NaN NaN NaN NaN
2009-10-01 NaN NaN NaN NaN
I try:
alfa = 0.1
tsdata = pycast.common.TimeSeries.from_twodim_list(data.YT1.values, format=None, )
esm = es.execute(tsdata)
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-29-9da3b1eee9a1> in <module>()
1 alfa = 0.1
----> 2 tsdata = pycast.common.TimeSeries.from_twodim_list(data.YT1.dropna().values, format=None, )
3 esm = es.execute(tsdata)
/Users/mmngreco/anaconda/envs/py2/lib/python2.7/site-packages/pycast/common/timeseries.pyc in from_twodim_list(cls, datalist, format)
184
185 for entry in datalist:
--> 186 ts.add_entry(*entry[:2])
187
188 ## set the normalization level
IndexError: invalid index to scalar variable.
Hi everybody,
I try to use the pycast library reading the documentation but I don't get nothing clear for me.
How can I make a simple exponential smoothing?