![eviews eviews](http://www.sba.muohio.edu/noblenr/EViews31/graphics/genera1.jpg)
Note that if you choose not to create a custom COM application object (the GetEViewsApp function), you won’t need to use the first two lines in the last step.
![eviews eviews](https://www.eviews.com/images/banner12.jpg)
Run ( 'copy(rho=.7, c=chowlins) annual \\ benchmark quarterly \\ benchmarked indicator', app = eviewsapp )
#Eviews series#
Use the EViews copy command to copy the benchmark series in the annual page to the quarterly page, using the indicator series in the quarterly page as the high-frequency indicator and matching the sum of the benchmarked series for each year (four quarters) with the matching annual value of the benchmark series:.Run ( 'pagerename Untitled1 quarterly', app = eviewsapp ) Run ( 'pageselect Untitled1', app = eviewsapp ) > evp. Run ( 'pagerename Untitled annual', app = eviewsapp ) > evp. Run ( 'pageselect Untitled', app = eviewsapp ) > evp. In this case, pyeviews will adjust the date to before pushing the data to EViews. 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.
![eviews eviews](https://www.eviews.com/EViews11/images/IHSlg.png)
Then call the PutPythonAsWF function to create pages for the benchmark and indicator series: Set showwindow (which displays the EViews window) to True. Load the pyeviews package and create a custom COM application object so we can customize our settings.Series (, index = dtsq, name = 'indicator' ) date_range ( '1998q1', periods = 12, freq = 'Q' ) > indicator = pa. Series (, index = dtsa, name = 'benchmark' ) > dtsq = pa.
![eviews eviews](https://softbuff.com/wp-content/uploads/2021/03/Eviews-Enterprise-Edition-12.0-free-download.png)
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 download#
Or, download the package, navigate to your installation directory, and use: $ python setup.py installįor more details on installation, see our whitepaper.
#Eviews windows#
For example, head over to the pyeviews package at the Python Package Index and at a Windows command prompt: