Converting Pandas DataFrame to R DataFrame using Reticulate in RMarkdown is Inconsistent












0















I’m using RMarkdown with the reticulate package and often have the requirement to print pandas DataFrame objects using R packages such as Kable. Unfortunately, the conversion appears to work intermittently when Knitting the document. Again, sometimes it works, sometimes it doesn’t.



Here's a reproducible example of RMarkdown:



output: html_document

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

```{python}
import pandas as pd
df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
print(df)
```

```{r}
library(reticulate)
df2 <- reticulate::py$df
print(df2)
print(reticulate::py$df)
```


Actual Behavior:



import pandas as pd
df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
print(df)
## a b c
## 0 4 5 9
library(reticulate)
df2 <- reticulate::py$df
print(df2)
## a b
## 1 <environment: 0x000000001d8d9fa0> <environment: 0x000000001d9cd630>
## c
## 1 <environment: 0x000000001dac0d30>
print(reticulate::py$df)
## a b
## 1 <environment: 0x000000001dde8a58> <environment: 0x000000001dedac08>
## c
## 1 <environment: 0x000000001e0119e0>


Expected Behavior:
The Pandas DataFrame object should be converted to an R DataFrame object and printed as follows:



##    a  b  c
## 0 4 5 9


Would appreciate any guidance on this issue as the actual behavior I cited above doesn't occur all the time.



Here's the session information:



## R version 3.5.2 (2018-12-20)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 17134)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.1252
## [2] LC_CTYPE=English_United States.1252
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] reticulate_1.10.0.9004
##
## loaded via a namespace (and not attached):
## [1] Rcpp_1.0.0 lattice_0.20-38 digest_0.6.16 rprojroot_1.3-2
## [5] grid_3.5.2 jsonlite_1.6 backports_1.1.2 magrittr_1.5
## [9] evaluate_0.11 stringi_1.1.7 Matrix_1.2-15 rmarkdown_1.10
## [13] tools_3.5.2 stringr_1.3.1 yaml_2.2.0 compiler_3.5.2
## [17] htmltools_0.3.6 knitr_1.20









share|improve this question





























    0















    I’m using RMarkdown with the reticulate package and often have the requirement to print pandas DataFrame objects using R packages such as Kable. Unfortunately, the conversion appears to work intermittently when Knitting the document. Again, sometimes it works, sometimes it doesn’t.



    Here's a reproducible example of RMarkdown:



    output: html_document

    ```{r setup, include=FALSE}
    knitr::opts_chunk$set(echo = TRUE)
    ```

    ```{python}
    import pandas as pd
    df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
    print(df)
    ```

    ```{r}
    library(reticulate)
    df2 <- reticulate::py$df
    print(df2)
    print(reticulate::py$df)
    ```


    Actual Behavior:



    import pandas as pd
    df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
    print(df)
    ## a b c
    ## 0 4 5 9
    library(reticulate)
    df2 <- reticulate::py$df
    print(df2)
    ## a b
    ## 1 <environment: 0x000000001d8d9fa0> <environment: 0x000000001d9cd630>
    ## c
    ## 1 <environment: 0x000000001dac0d30>
    print(reticulate::py$df)
    ## a b
    ## 1 <environment: 0x000000001dde8a58> <environment: 0x000000001dedac08>
    ## c
    ## 1 <environment: 0x000000001e0119e0>


    Expected Behavior:
    The Pandas DataFrame object should be converted to an R DataFrame object and printed as follows:



    ##    a  b  c
    ## 0 4 5 9


    Would appreciate any guidance on this issue as the actual behavior I cited above doesn't occur all the time.



    Here's the session information:



    ## R version 3.5.2 (2018-12-20)
    ## Platform: x86_64-w64-mingw32/x64 (64-bit)
    ## Running under: Windows 10 x64 (build 17134)
    ##
    ## Matrix products: default
    ##
    ## locale:
    ## [1] LC_COLLATE=English_United States.1252
    ## [2] LC_CTYPE=English_United States.1252
    ## [3] LC_MONETARY=English_United States.1252
    ## [4] LC_NUMERIC=C
    ## [5] LC_TIME=English_United States.1252
    ##
    ## attached base packages:
    ## [1] stats graphics grDevices utils datasets methods base
    ##
    ## other attached packages:
    ## [1] reticulate_1.10.0.9004
    ##
    ## loaded via a namespace (and not attached):
    ## [1] Rcpp_1.0.0 lattice_0.20-38 digest_0.6.16 rprojroot_1.3-2
    ## [5] grid_3.5.2 jsonlite_1.6 backports_1.1.2 magrittr_1.5
    ## [9] evaluate_0.11 stringi_1.1.7 Matrix_1.2-15 rmarkdown_1.10
    ## [13] tools_3.5.2 stringr_1.3.1 yaml_2.2.0 compiler_3.5.2
    ## [17] htmltools_0.3.6 knitr_1.20









    share|improve this question



























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      I’m using RMarkdown with the reticulate package and often have the requirement to print pandas DataFrame objects using R packages such as Kable. Unfortunately, the conversion appears to work intermittently when Knitting the document. Again, sometimes it works, sometimes it doesn’t.



      Here's a reproducible example of RMarkdown:



      output: html_document

      ```{r setup, include=FALSE}
      knitr::opts_chunk$set(echo = TRUE)
      ```

      ```{python}
      import pandas as pd
      df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
      print(df)
      ```

      ```{r}
      library(reticulate)
      df2 <- reticulate::py$df
      print(df2)
      print(reticulate::py$df)
      ```


      Actual Behavior:



      import pandas as pd
      df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
      print(df)
      ## a b c
      ## 0 4 5 9
      library(reticulate)
      df2 <- reticulate::py$df
      print(df2)
      ## a b
      ## 1 <environment: 0x000000001d8d9fa0> <environment: 0x000000001d9cd630>
      ## c
      ## 1 <environment: 0x000000001dac0d30>
      print(reticulate::py$df)
      ## a b
      ## 1 <environment: 0x000000001dde8a58> <environment: 0x000000001dedac08>
      ## c
      ## 1 <environment: 0x000000001e0119e0>


      Expected Behavior:
      The Pandas DataFrame object should be converted to an R DataFrame object and printed as follows:



      ##    a  b  c
      ## 0 4 5 9


      Would appreciate any guidance on this issue as the actual behavior I cited above doesn't occur all the time.



      Here's the session information:



      ## R version 3.5.2 (2018-12-20)
      ## Platform: x86_64-w64-mingw32/x64 (64-bit)
      ## Running under: Windows 10 x64 (build 17134)
      ##
      ## Matrix products: default
      ##
      ## locale:
      ## [1] LC_COLLATE=English_United States.1252
      ## [2] LC_CTYPE=English_United States.1252
      ## [3] LC_MONETARY=English_United States.1252
      ## [4] LC_NUMERIC=C
      ## [5] LC_TIME=English_United States.1252
      ##
      ## attached base packages:
      ## [1] stats graphics grDevices utils datasets methods base
      ##
      ## other attached packages:
      ## [1] reticulate_1.10.0.9004
      ##
      ## loaded via a namespace (and not attached):
      ## [1] Rcpp_1.0.0 lattice_0.20-38 digest_0.6.16 rprojroot_1.3-2
      ## [5] grid_3.5.2 jsonlite_1.6 backports_1.1.2 magrittr_1.5
      ## [9] evaluate_0.11 stringi_1.1.7 Matrix_1.2-15 rmarkdown_1.10
      ## [13] tools_3.5.2 stringr_1.3.1 yaml_2.2.0 compiler_3.5.2
      ## [17] htmltools_0.3.6 knitr_1.20









      share|improve this question
















      I’m using RMarkdown with the reticulate package and often have the requirement to print pandas DataFrame objects using R packages such as Kable. Unfortunately, the conversion appears to work intermittently when Knitting the document. Again, sometimes it works, sometimes it doesn’t.



      Here's a reproducible example of RMarkdown:



      output: html_document

      ```{r setup, include=FALSE}
      knitr::opts_chunk$set(echo = TRUE)
      ```

      ```{python}
      import pandas as pd
      df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
      print(df)
      ```

      ```{r}
      library(reticulate)
      df2 <- reticulate::py$df
      print(df2)
      print(reticulate::py$df)
      ```


      Actual Behavior:



      import pandas as pd
      df = pd.DataFrame({'a':4, 'b':5, 'c':9}, index=[0])
      print(df)
      ## a b c
      ## 0 4 5 9
      library(reticulate)
      df2 <- reticulate::py$df
      print(df2)
      ## a b
      ## 1 <environment: 0x000000001d8d9fa0> <environment: 0x000000001d9cd630>
      ## c
      ## 1 <environment: 0x000000001dac0d30>
      print(reticulate::py$df)
      ## a b
      ## 1 <environment: 0x000000001dde8a58> <environment: 0x000000001dedac08>
      ## c
      ## 1 <environment: 0x000000001e0119e0>


      Expected Behavior:
      The Pandas DataFrame object should be converted to an R DataFrame object and printed as follows:



      ##    a  b  c
      ## 0 4 5 9


      Would appreciate any guidance on this issue as the actual behavior I cited above doesn't occur all the time.



      Here's the session information:



      ## R version 3.5.2 (2018-12-20)
      ## Platform: x86_64-w64-mingw32/x64 (64-bit)
      ## Running under: Windows 10 x64 (build 17134)
      ##
      ## Matrix products: default
      ##
      ## locale:
      ## [1] LC_COLLATE=English_United States.1252
      ## [2] LC_CTYPE=English_United States.1252
      ## [3] LC_MONETARY=English_United States.1252
      ## [4] LC_NUMERIC=C
      ## [5] LC_TIME=English_United States.1252
      ##
      ## attached base packages:
      ## [1] stats graphics grDevices utils datasets methods base
      ##
      ## other attached packages:
      ## [1] reticulate_1.10.0.9004
      ##
      ## loaded via a namespace (and not attached):
      ## [1] Rcpp_1.0.0 lattice_0.20-38 digest_0.6.16 rprojroot_1.3-2
      ## [5] grid_3.5.2 jsonlite_1.6 backports_1.1.2 magrittr_1.5
      ## [9] evaluate_0.11 stringi_1.1.7 Matrix_1.2-15 rmarkdown_1.10
      ## [13] tools_3.5.2 stringr_1.3.1 yaml_2.2.0 compiler_3.5.2
      ## [17] htmltools_0.3.6 knitr_1.20






      python r






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      edited Feb 14 at 1:31







      John

















      asked Feb 14 at 1:07









      JohnJohn

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