[
https://issues.apache.org/jira/browse/ARROW-9369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joris Van den Bossche updated ARROW-9369:
-----------------------------------------
Description:
{code}
In [1]: pa.array(['a', 'b', 'a'], pa.dictionary(pa.int32(), pa.string()))
---------------------------------------------------------------------------
ArrowNotImplementedError Traceback (most recent call last)
<ipython-input-1-bda8628a4917> in <module>
----> 1 pa.array(['a', 'b', 'a'], pa.dictionary(pa.int32(), pa.string()))
~/scipy/repos/arrow/python/pyarrow/array.pxi in pyarrow.lib.array()
~/scipy/repos/arrow/python/pyarrow/array.pxi in pyarrow.lib._sequence_to_array()
~/scipy/repos/arrow/python/pyarrow/error.pxi in pyarrow.lib.check_status()
ArrowNotImplementedError: Sequence converter for type dictionary<values=string,
indices=int32, ordered=0> not implemented
{code}
-----
Hello, I am trying to do the following (please correct me if I am doing some
non-sense):
{code:python}
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
fields = [pa.field("object", pa.dictionary(pa.int64(), pa.string()))]
data = {"object": {
"a": "a",
"b": "b",
"c": "c",
"s": "d" }}
df = pd.DataFrame(data)
table = pa.Table.from_pandas(df, pa.schema(fields))
pq.write_table(table, "test.parquet")
{code}
and I am getting:
{noformat}
Traceback (most recent call last):
File "pa_test.py", line 17, in <module>
table = pa.Table.from_pandas(df, pa.schema(fields))
File "pyarrow/table.pxi", line 1451, in pyarrow.lib.Table.from_pandas
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 575, in dataframe_to_arrays
for c, f in zip(columns_to_convert, convert_fields)]
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 575, in <listcomp>
for c, f in zip(columns_to_convert, convert_fields)]
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 566, in convert_column
raise e
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 560, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 265, in pyarrow.lib.array
File "pyarrow/array.pxi", line 80, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 106, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: ('Sequence converter for type
dictionary<values=string, indices=int64, ordered=0> not implemented',
'Conversion failed for column object with type object')
{noformat}
Workaround is to use {{df.to_parquet("test.parquet")}}
was:
Hello, I am trying to do the following (please correct me if I am doing some
non-sense):
{code:python}
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
fields = [pa.field("object", pa.dictionary(pa.int64(), pa.string()))]
data = {"object": {
"a": "a",
"b": "b",
"c": "c",
"s": "d" }}
df = pd.DataFrame(data)
table = pa.Table.from_pandas(df, pa.schema(fields))
pq.write_table(table, "test.parquet")
{code}
and I am getting:
{noformat}
Traceback (most recent call last):
File "pa_test.py", line 17, in <module>
table = pa.Table.from_pandas(df, pa.schema(fields))
File "pyarrow/table.pxi", line 1451, in pyarrow.lib.Table.from_pandas
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 575, in dataframe_to_arrays
for c, f in zip(columns_to_convert, convert_fields)]
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 575, in <listcomp>
for c, f in zip(columns_to_convert, convert_fields)]
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 566, in convert_column
raise e
File
"/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
line 560, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 265, in pyarrow.lib.array
File "pyarrow/array.pxi", line 80, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 106, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: ('Sequence converter for type
dictionary<values=string, indices=int64, ordered=0> not implemented',
'Conversion failed for column object with type object')
{noformat}
Workaround is to use {{df.to_parquet("test.parquet")}}
> [Python] Support conversion from python sequence to dictionary type
> -------------------------------------------------------------------
>
> Key: ARROW-9369
> URL: https://issues.apache.org/jira/browse/ARROW-9369
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.17.1
> Reporter: Tomas Remes
> Priority: Major
>
> {code}
> In [1]: pa.array(['a', 'b', 'a'], pa.dictionary(pa.int32(), pa.string()))
>
>
> ---------------------------------------------------------------------------
> ArrowNotImplementedError Traceback (most recent call last)
> <ipython-input-1-bda8628a4917> in <module>
> ----> 1 pa.array(['a', 'b', 'a'], pa.dictionary(pa.int32(), pa.string()))
> ~/scipy/repos/arrow/python/pyarrow/array.pxi in pyarrow.lib.array()
> ~/scipy/repos/arrow/python/pyarrow/array.pxi in
> pyarrow.lib._sequence_to_array()
> ~/scipy/repos/arrow/python/pyarrow/error.pxi in pyarrow.lib.check_status()
> ArrowNotImplementedError: Sequence converter for type
> dictionary<values=string, indices=int32, ordered=0> not implemented
> {code}
> -----
> Hello, I am trying to do the following (please correct me if I am doing some
> non-sense):
> {code:python}
> import pandas as pd
> import pyarrow as pa
> import pyarrow.parquet as pq
> fields = [pa.field("object", pa.dictionary(pa.int64(), pa.string()))]
> data = {"object": {
> "a": "a",
> "b": "b",
> "c": "c",
> "s": "d" }}
> df = pd.DataFrame(data)
> table = pa.Table.from_pandas(df, pa.schema(fields))
> pq.write_table(table, "test.parquet")
> {code}
> and I am getting:
> {noformat}
> Traceback (most recent call last):
> File "pa_test.py", line 17, in <module>
> table = pa.Table.from_pandas(df, pa.schema(fields))
> File "pyarrow/table.pxi", line 1451, in pyarrow.lib.Table.from_pandas
> File
> "/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 575, in dataframe_to_arrays
> for c, f in zip(columns_to_convert, convert_fields)]
> File
> "/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 575, in <listcomp>
> for c, f in zip(columns_to_convert, convert_fields)]
> File
> "/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 566, in convert_column
> raise e
> File
> "/home/tremes/GITHUB/data-pipeline/venv/lib64/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 560, in convert_column
> result = pa.array(col, type=type_, from_pandas=True, safe=safe)
> File "pyarrow/array.pxi", line 265, in pyarrow.lib.array
> File "pyarrow/array.pxi", line 80, in pyarrow.lib._ndarray_to_array
> File "pyarrow/error.pxi", line 106, in pyarrow.lib.check_status
> pyarrow.lib.ArrowNotImplementedError: ('Sequence converter for type
> dictionary<values=string, indices=int64, ordered=0> not implemented',
> 'Conversion failed for column object with type object')
> {noformat}
> Workaround is to use {{df.to_parquet("test.parquet")}}
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