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https://issues.apache.org/jira/browse/ARROW-13939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17413227#comment-17413227
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krishna deepak commented on ARROW-13939:
----------------------------------------
{code:java}
//{code}
cdef shared_ptr[CTable] table = pyarrow_unwrap_table(obj)
cdef CTable *table_ptr = table.get()
cdef list timeframes = [3, 5, 15]
if table_ptr == NULL:
raise TypeError("not an array")
cdef CChunkedArray *column1
cdef CChunkedArray *column2
cdef CArray *array1
cdef CArray *array2
cdef int num_rows = table_ptr.num_rows()
cdef shared_ptr[CSchema] schema = table_ptr.schema()
cdef CResult[shared_ptr[CScalar]] val
column1 = table_ptr.column(0).get()
column2 = table_ptr.column(1).get()
chunk_i = 0
while True:
array1 = column1.chunk(chunk_i).get()
# array2 = column2.chunk(chunk_i).get()
if array1 == NULL:
break
length = array1.length()
val = array1.GetScalar(0)
if val.ok():
val.ValueOrDie()
> how to do resampling of arrow table using cython
> ------------------------------------------------
>
> Key: ARROW-13939
> URL: https://issues.apache.org/jira/browse/ARROW-13939
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++, Python
> Reporter: krishna deepak
> Priority: Minor
>
> Please can someone point me to resources, how to write a resampling code in
> cython for Arrow table.
> # Will iterating the whole table be slow in cython?
> # which is the best to use to append new elements to. Is there a way i
> create an empty table of same schema and keep appending to it. Or should I
> use vectors/list and then pass them to create a table.
> Performance is very important for me. Any help is highly appreciated.
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