[ 
https://issues.apache.org/jira/browse/ARROW-2787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joseph Toth updated ARROW-2787:
-------------------------------
    Description: 
I wanted to create a simple example of reading a table in Python and pass it to 
C+, but I'm doing something wrong or there is a memory issue. When the table 
gets to C+ and I print out column names it also prints out a lot of junk and 
what looks like pydocs. Let me know if you need any more info. Thanks!

 

*demo.py*

??import numpy??
 ??from psy.automl import cyth??
 ??import pandas as pd??
 ??from absl import app??

??def main(argv):??
 ?? sup = pd.DataFrame({??
 ?? 'int': [1, 2],??
 ?? 'str': ['a', 'b']??
 ?? })??
 ?? table = pa.Table.from_pandas(sup)??
 ?? cyth.c_t(table)??

 

*??cyth.pyx??*

??import pandas as pd??
 ??import pyarrow as pa??
 ??from pyarrow.lib cimport *??

??cdef extern from "cyth.h" namespace "psy":??
 ??void t(shared_ptr[CTable])??

??def c_t(obj):??
 # ??These print work??
 ??# for i in range(obj.num_columns):??
 ??# print(obj.column(i).name??
 ?? cdef shared_ptr[CTable] tbl = pyarrow_unwrap_table(obj)??
 ?? t(tbl)??
 *cyth.h*

??#include <iostream>??
 ??#include <string>??

??#include "arrow/api.h"??
 ??#include "arrow/python/api.h"??
 ??#include "Python.h"??

??namespace psy {??

??void t(std::shared_ptr<arrow::Table> pytable) {??

??// This works??
 ?? std::cout << "NUM" << pytable->num_columns();??

??// This prints a lot of garbage??
 ?? for(int i = 0; i < pytable->num_columns(); i++) {??
 ?? std::cout << pytable->column(i)->name();??
 ?? }??
 ??}??

 

  was:
I wanted to create a simple example of reading a table in Python and pass it to 
C++, but I'm doing something wrong or there is a memory issue. When the table 
gets to C++ and I print out column names it also prints out a lot of junk and 
what looks like pydocs. Let me know if you need any more info. Thanks!

 

*demo.py*

??import numpy??
??from psy.automl import cyth??
??import pandas as pd??
??from absl import app??

??def main(argv):??
?? sup = pd.DataFrame({??
?? 'int': [1, 2],??
?? 'str': ['a', 'b']??
?? })??
?? table = pa.Table.from_pandas(sup)??
?? cyth.c_t(table)??

 

*??cyth.pyx??*

??import pandas as pd??
??import pyarrow as pa??
??from pyarrow.lib cimport *??

??cdef extern from "cyth.h" namespace "psy":??
??void t(shared_ptr[CTable])??

??def c_t(obj):??
 # ??These print work??
??# for i in range(obj.num_columns):??
??# print(obj.column(i).name??
?? cdef shared_ptr[CTable] tbl = pyarrow_unwrap_table(obj)??
?? t(tbl)??
*cyth.h*

??#include <iostream>??
??#include <string>??

??#include "arrow/api.h"??
??#include "arrow/python/api.h"??
??#include "Python.h"??

??namespace psy {??

??void t(std::shared_ptr<arrow::Table> pytable) {??

??// This works??
?? std::cout << "NUM" << pytable->num_columns();??

??// This prints a lot of garbage??
?? for(int i = 0; i < pytable->num_columns(); i++) {??
?? std::cout << pytable->column(i)->name();??
?? }??
??}??

 


> Memory Issue passing table from python to c++ via cython
> --------------------------------------------------------
>
>                 Key: ARROW-2787
>                 URL: https://issues.apache.org/jira/browse/ARROW-2787
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Integration
>    Affects Versions: 0.9.0
>         Environment: clang6
>            Reporter: Joseph Toth
>            Priority: Major
>
> I wanted to create a simple example of reading a table in Python and pass it 
> to C+, but I'm doing something wrong or there is a memory issue. When the 
> table gets to C+ and I print out column names it also prints out a lot of 
> junk and what looks like pydocs. Let me know if you need any more info. 
> Thanks!
>  
> *demo.py*
> ??import numpy??
>  ??from psy.automl import cyth??
>  ??import pandas as pd??
>  ??from absl import app??
> ??def main(argv):??
>  ?? sup = pd.DataFrame({??
>  ?? 'int': [1, 2],??
>  ?? 'str': ['a', 'b']??
>  ?? })??
>  ?? table = pa.Table.from_pandas(sup)??
>  ?? cyth.c_t(table)??
>  
> *??cyth.pyx??*
> ??import pandas as pd??
>  ??import pyarrow as pa??
>  ??from pyarrow.lib cimport *??
> ??cdef extern from "cyth.h" namespace "psy":??
>  ??void t(shared_ptr[CTable])??
> ??def c_t(obj):??
>  # ??These print work??
>  ??# for i in range(obj.num_columns):??
>  ??# print(obj.column(i).name??
>  ?? cdef shared_ptr[CTable] tbl = pyarrow_unwrap_table(obj)??
>  ?? t(tbl)??
>  *cyth.h*
> ??#include <iostream>??
>  ??#include <string>??
> ??#include "arrow/api.h"??
>  ??#include "arrow/python/api.h"??
>  ??#include "Python.h"??
> ??namespace psy {??
> ??void t(std::shared_ptr<arrow::Table> pytable) {??
> ??// This works??
>  ?? std::cout << "NUM" << pytable->num_columns();??
> ??// This prints a lot of garbage??
>  ?? for(int i = 0; i < pytable->num_columns(); i++) {??
>  ?? std::cout << pytable->column(i)->name();??
>  ?? }??
>  ??}??
>  



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