![eviews 10 atan eviews 10 atan](https://pbs.twimg.com/media/E1LylN1XsAMgA3c.jpg)
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For example, a DatetimeIndex with an annual ‘A’ frequency and a date of will be assigned an internal EViews date of. Since EViews assigns dates to be the beginning of a given period depending on the frequency, this can lead to misalignment issues and unexpected results when calculations are performed. PutPythonAsWF ( indicator, app = eviewsapp, newwf = False )īehind the scenes, pyeviews will detect if the DatetimeIndex of your pandas object (if you have one) needs to be adjusted to match EViews’ dating customs. PutPythonAsWF ( benchmark, app = eviewsapp ) > evp. GetEViewsApp ( instance = 'new', showwindow = True ) > evp. > import pyeviews as evp > eviewsapp = evp. Then call the PutPythonAsWF function to create pages for the benchmark and indicator series:
![eviews 10 atan eviews 10 atan](https://media.wiley.com/product_data/coverImage300/72/11197151/1119715172.jpg)
Set showwindow (which displays the EViews window) to True.
#Eviews 10 atan series#
Series (, index = dtsq, name = 'indicator' ) date_range ( '1998q1', periods = 12, freq = 'Q' ) > indicator = pa. Series (, index = dtsa, name = 'benchmark' ) > dtsq = pa. date_range ( '1998', periods = 3, freq = 'A' ) > benchmark = pa. > import numpy as np > import pandas as pa > dtsa = pa. We’ll call the annual series “benchmark” and the quarterly series “indicator”:
#Eviews 10 atan download#
Or, download the package, navigate to your installation directory, and use: $ python setup.py installįor more details on installation, see our whitepaper. For example, head over to the pyeviews package at the Python Package Index and at a Windows command prompt: