How to convert rpy2.robjects.vectors.DataFrame to csv?












0















After executing my python file i got result as:



R object with classes: ('data.frame',) mapped to:
<DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
[DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
R object with classes: ('data.frame',) mapped to:
<DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
[DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
R object with classes: ('data.frame',) mapped to:
<DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
[DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
...
R object with classes: ('data.frame',) mapped to:
<DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
[DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]


len(a)=12
type(a)=rpy2.robjects.vectors.DataFrame


I am trying to convert the result dataframe to csv by a.to_csv('filename.csv')
But it wont work for the current result. Anybody have any idea about how to convert 'rpy2.robjects.vectors.DataFrame csv'. Any help is appreciated.










share|improve this question



























    0















    After executing my python file i got result as:



    R object with classes: ('data.frame',) mapped to:
    <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
    [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
    R object with classes: ('data.frame',) mapped to:
    <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
    [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
    R object with classes: ('data.frame',) mapped to:
    <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
    [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
    ...
    R object with classes: ('data.frame',) mapped to:
    <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
    [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]


    len(a)=12
    type(a)=rpy2.robjects.vectors.DataFrame


    I am trying to convert the result dataframe to csv by a.to_csv('filename.csv')
    But it wont work for the current result. Anybody have any idea about how to convert 'rpy2.robjects.vectors.DataFrame csv'. Any help is appreciated.










    share|improve this question

























      0












      0








      0








      After executing my python file i got result as:



      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
      ...
      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]


      len(a)=12
      type(a)=rpy2.robjects.vectors.DataFrame


      I am trying to convert the result dataframe to csv by a.to_csv('filename.csv')
      But it wont work for the current result. Anybody have any idea about how to convert 'rpy2.robjects.vectors.DataFrame csv'. Any help is appreciated.










      share|improve this question














      After executing my python file i got result as:



      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]
      ...
      R object with classes: ('data.frame',) mapped to:
      <DataFrame - Python:0x7f3f3c05a388 / R:0x563006a79ea8>
      [DataFrame, DataFrame, DataFrame, DataFrame, ..., DataFrame, DataFrame, DataFrame, DataFrame]


      len(a)=12
      type(a)=rpy2.robjects.vectors.DataFrame


      I am trying to convert the result dataframe to csv by a.to_csv('filename.csv')
      But it wont work for the current result. Anybody have any idea about how to convert 'rpy2.robjects.vectors.DataFrame csv'. Any help is appreciated.







      python rpy2






      share|improve this question













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      share|improve this question










      asked Jan 2 at 5:40









      91133039113303

      345213




      345213
























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          You can try passing a dataframe to the global environment of R using pandas2ri(you might need to install tzlocal for this) and then pass the whole command as a string where R itself returns the value as a dataframe. Look below for a the reference



          rdf = pandas2ri.py2ri(self.data)
          ro.globalenv['r_timeseries'] = rdf
          prediction=ro.r('as.data.frame(stlf(ts(r_timeseries,frequency = 12),h=4,level=c(90)))')


          To run you through the code: I am first creating a globalenv dataframe named as r_timeseries and passing it below as a string command which you usually would pass in R as well. Here I am using rpy2 to get forecast for 4 periods using STLF.



          Go have a try yourself, I hope this would be of some help to you.






          share|improve this answer























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            1 Answer
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            1 Answer
            1






            active

            oldest

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            active

            oldest

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            active

            oldest

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            0














            You can try passing a dataframe to the global environment of R using pandas2ri(you might need to install tzlocal for this) and then pass the whole command as a string where R itself returns the value as a dataframe. Look below for a the reference



            rdf = pandas2ri.py2ri(self.data)
            ro.globalenv['r_timeseries'] = rdf
            prediction=ro.r('as.data.frame(stlf(ts(r_timeseries,frequency = 12),h=4,level=c(90)))')


            To run you through the code: I am first creating a globalenv dataframe named as r_timeseries and passing it below as a string command which you usually would pass in R as well. Here I am using rpy2 to get forecast for 4 periods using STLF.



            Go have a try yourself, I hope this would be of some help to you.






            share|improve this answer




























              0














              You can try passing a dataframe to the global environment of R using pandas2ri(you might need to install tzlocal for this) and then pass the whole command as a string where R itself returns the value as a dataframe. Look below for a the reference



              rdf = pandas2ri.py2ri(self.data)
              ro.globalenv['r_timeseries'] = rdf
              prediction=ro.r('as.data.frame(stlf(ts(r_timeseries,frequency = 12),h=4,level=c(90)))')


              To run you through the code: I am first creating a globalenv dataframe named as r_timeseries and passing it below as a string command which you usually would pass in R as well. Here I am using rpy2 to get forecast for 4 periods using STLF.



              Go have a try yourself, I hope this would be of some help to you.






              share|improve this answer


























                0












                0








                0







                You can try passing a dataframe to the global environment of R using pandas2ri(you might need to install tzlocal for this) and then pass the whole command as a string where R itself returns the value as a dataframe. Look below for a the reference



                rdf = pandas2ri.py2ri(self.data)
                ro.globalenv['r_timeseries'] = rdf
                prediction=ro.r('as.data.frame(stlf(ts(r_timeseries,frequency = 12),h=4,level=c(90)))')


                To run you through the code: I am first creating a globalenv dataframe named as r_timeseries and passing it below as a string command which you usually would pass in R as well. Here I am using rpy2 to get forecast for 4 periods using STLF.



                Go have a try yourself, I hope this would be of some help to you.






                share|improve this answer













                You can try passing a dataframe to the global environment of R using pandas2ri(you might need to install tzlocal for this) and then pass the whole command as a string where R itself returns the value as a dataframe. Look below for a the reference



                rdf = pandas2ri.py2ri(self.data)
                ro.globalenv['r_timeseries'] = rdf
                prediction=ro.r('as.data.frame(stlf(ts(r_timeseries,frequency = 12),h=4,level=c(90)))')


                To run you through the code: I am first creating a globalenv dataframe named as r_timeseries and passing it below as a string command which you usually would pass in R as well. Here I am using rpy2 to get forecast for 4 periods using STLF.



                Go have a try yourself, I hope this would be of some help to you.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jan 2 at 7:11









                Amit AmolaAmit Amola

                444618




                444618
































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