Dear All,
I am wondering if someone knows an R equivalent of the following API call
in python.
"-----"
import time
import pandas as pd
start_time = time.clock()
timer =time.clock()
import pkg_resources
pkg_resources.require("pysimplesoap==1.05a")
from pysimplesoap.client import SoapClient
import os
import numpy as np
client = SoapClient(wsdl="
https://solardata.com/service.asmx?wsdl")
result = client.GetCsvWeatherData8(
userName='alex at solardata.com',password='passw at
word1
',licenseNumber='X1952c9wv',
latitude=lati, longitude=loni,
startDate='2013-02-10T00:00:00',
endDate='2014-11-28T00:00:00',
dataVersionId=8,
spatialResolutionId='High1km',
timeResolution='Minute',
missingDataHandling='Blank',
WindTemp=1,
timeshift = 'No')
weather ={}
weather['csvWeather']result['GetCsvWeatherData8Result']['csvWeather']
Thanks,
Alemu
On Fri, Oct 2, 2015 at 12:31 PM, Linus Holtermann <holtermann at hwwi.org>
wrote:
> Hi,
>
> You have panel data or cross-sectional data? In the case you use
> cross-sectional data and "countries" are your observations (no
repeated
> measure of them) and you regress the country-dummies on your residuals of
> the forgone regression, then there are as many regressors as observations.
> Consequently, is it not possible to estimate such a model since there are
> no degrees of freedom left.
>
> Mit freundlichen Gr??en
>
>
> Linus Holtermann
> Hamburgisches WeltWirtschaftsInstitut gemeinn?tzige GmbH (HWWI)
> Heimhuder Stra?e 71
> 20148 Hamburg
> Tel +49-(0)40-340576-336
> Fax+49-(0)40-340576-776
> Internet: www.hwwi.org
> Email: holtermann at hwwi.org
>
> Amtsgericht Hamburg HRB 94303
> Gesch?ftsf?hrer: Prof. Dr. Henning V?pel
> Prokura: Dipl. Kauffrau Alexis Malchin
> Umsatzsteuer-ID: DE 241849425
>
>
> -----Urspr?ngliche Nachricht-----
> Von: R-help [mailto:r-help-bounces at r-project.org] Im Auftrag von Johanna
> von Bahr
> Gesendet: Donnerstag, 1. Oktober 2015 21:15
> An: r-help at r-project.org
> Betreff: [R] Regressing the residuals on the country dummies
>
> I?m trying to estimate a model regressing the residuals on the country
> dummies as follows; model.resC <- lm(model2$res ~ as.factor(Country))
> summary(model.resC)
>
> As I call the model I get the following results regarding the residuals:
>
> "ALL 90 residuals are 0: no residual degrees of freedom!"
>
> What has gone wrong?
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/
> posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/
> posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
1. Have you checked out package Rpy/Rpy2? 2. I don't know Python, but as you seem to be trying to get data from the web, see the Rcurl package, maybe, to do these things in R. 3. Hopefully someone who does know Python can give you better answers. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Aug 18, 2016 at 11:29 AM, Alemu Tadesse <alemu.tadesse at gmail.com> wrote:> Dear All, > > I am wondering if someone knows an R equivalent of the following API call > in python. > > "-----" > > import time > import pandas as pd > start_time = time.clock() > timer =time.clock() > import pkg_resources > pkg_resources.require("pysimplesoap==1.05a") > from pysimplesoap.client import SoapClient > > > import os > import numpy as np > > client = SoapClient(wsdl=" > https://solardata.com/service.asmx?wsdl") > result = client.GetCsvWeatherData8( > userName='alex at solardata.com',password='passw at word1 > ',licenseNumber='X1952c9wv', > latitude=lati, longitude=loni, > startDate='2013-02-10T00:00:00', > endDate='2014-11-28T00:00:00', > dataVersionId=8, > spatialResolutionId='High1km', > timeResolution='Minute', > missingDataHandling='Blank', > WindTemp=1, > timeshift = 'No') > > weather ={} > weather['csvWeather']> result['GetCsvWeatherData8Result']['csvWeather'] > > Thanks, > > Alemu > > > On Fri, Oct 2, 2015 at 12:31 PM, Linus Holtermann <holtermann at hwwi.org> > wrote: > >> Hi, >> >> You have panel data or cross-sectional data? In the case you use >> cross-sectional data and "countries" are your observations (no repeated >> measure of them) and you regress the country-dummies on your residuals of >> the forgone regression, then there are as many regressors as observations. >> Consequently, is it not possible to estimate such a model since there are >> no degrees of freedom left. >> >> Mit freundlichen Gr??en >> >> >> Linus Holtermann >> Hamburgisches WeltWirtschaftsInstitut gemeinn?tzige GmbH (HWWI) >> Heimhuder Stra?e 71 >> 20148 Hamburg >> Tel +49-(0)40-340576-336 >> Fax+49-(0)40-340576-776 >> Internet: www.hwwi.org >> Email: holtermann at hwwi.org >> >> Amtsgericht Hamburg HRB 94303 >> Gesch?ftsf?hrer: Prof. Dr. Henning V?pel >> Prokura: Dipl. Kauffrau Alexis Malchin >> Umsatzsteuer-ID: DE 241849425 >> >> >> -----Urspr?ngliche Nachricht----- >> Von: R-help [mailto:r-help-bounces at r-project.org] Im Auftrag von Johanna >> von Bahr >> Gesendet: Donnerstag, 1. Oktober 2015 21:15 >> An: r-help at r-project.org >> Betreff: [R] Regressing the residuals on the country dummies >> >> I?m trying to estimate a model regressing the residuals on the country >> dummies as follows; model.resC <- lm(model2$res ~ as.factor(Country)) >> summary(model.resC) >> >> As I call the model I get the following results regarding the residuals: >> >> "ALL 90 residuals are 0: no residual degrees of freedom!" >> >> What has gone wrong? >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/ >> posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/ >> posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Thank you Bert. Both rpy and ypy2 are to use R in python. I have never seen a package (that works) to call python script in R. Best, Alemu On Thu, Aug 18, 2016 at 1:09 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:> 1. Have you checked out package Rpy/Rpy2? > > 2. I don't know Python, but as you seem to be trying to get data from > the web, see the Rcurl package, maybe, to do these things in R. > > 3. Hopefully someone who does know Python can give you better answers. > > Cheers, > Bert > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along > and sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Thu, Aug 18, 2016 at 11:29 AM, Alemu Tadesse <alemu.tadesse at gmail.com> > wrote: > > Dear All, > > > > I am wondering if someone knows an R equivalent of the following API call > > in python. > > > > "-----" > > > > import time > > import pandas as pd > > start_time = time.clock() > > timer =time.clock() > > import pkg_resources > > pkg_resources.require("pysimplesoap==1.05a") > > from pysimplesoap.client import SoapClient > > > > > > import os > > import numpy as np > > > > client = SoapClient(wsdl=" > > https://solardata.com/service.asmx?wsdl") > > result = client.GetCsvWeatherData8( > > userName='alex at solardata.com',password='passw at word1 > > ',licenseNumber='X1952c9wv', > > latitude=lati, longitude=loni, > > startDate='2013-02-10T00:00:00', > > endDate='2014-11-28T00:00:00', > > dataVersionId=8, > > spatialResolutionId='High1km', > > timeResolution='Minute', > > missingDataHandling='Blank', > > WindTemp=1, > > timeshift = 'No') > > > > weather ={} > > weather['csvWeather']> > result['GetCsvWeatherData8Result']['csvWeather'] > > > > Thanks, > > > > Alemu > > > > > > On Fri, Oct 2, 2015 at 12:31 PM, Linus Holtermann <holtermann at hwwi.org> > > wrote: > > > >> Hi, > >> > >> You have panel data or cross-sectional data? In the case you use > >> cross-sectional data and "countries" are your observations (no repeated > >> measure of them) and you regress the country-dummies on your residuals > of > >> the forgone regression, then there are as many regressors as > observations. > >> Consequently, is it not possible to estimate such a model since there > are > >> no degrees of freedom left. > >> > >> Mit freundlichen Gr??en > >> > >> > >> Linus Holtermann > >> Hamburgisches WeltWirtschaftsInstitut gemeinn?tzige GmbH (HWWI) > >> Heimhuder Stra?e 71 > >> 20148 Hamburg > >> Tel +49-(0)40-340576-336 > >> Fax+49-(0)40-340576-776 > >> Internet: www.hwwi.org > >> Email: holtermann at hwwi.org > >> > >> Amtsgericht Hamburg HRB 94303 > >> Gesch?ftsf?hrer: Prof. Dr. Henning V?pel > >> Prokura: Dipl. Kauffrau Alexis Malchin > >> Umsatzsteuer-ID: DE 241849425 > >> > >> > >> -----Urspr?ngliche Nachricht----- > >> Von: R-help [mailto:r-help-bounces at r-project.org] Im Auftrag von > Johanna > >> von Bahr > >> Gesendet: Donnerstag, 1. Oktober 2015 21:15 > >> An: r-help at r-project.org > >> Betreff: [R] Regressing the residuals on the country dummies > >> > >> I?m trying to estimate a model regressing the residuals on the country > >> dummies as follows; model.resC <- lm(model2$res ~ as.factor(Country)) > >> summary(model.resC) > >> > >> As I call the model I get the following results regarding the residuals: > >> > >> "ALL 90 residuals are 0: no residual degrees of freedom!" > >> > >> What has gone wrong? > >> ______________________________________________ > >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> https://stat.ethz.ch/mailman/listinfo/r-help > >> PLEASE do read the posting guide http://www.R-project.org/ > >> posting-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > >> ______________________________________________ > >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> https://stat.ethz.ch/mailman/listinfo/r-help > >> PLEASE do read the posting guide http://www.R-project.org/ > >> posting-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > >> > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]