Diego Argueta created ARROW-8378:
Summary: [Python] "empty" dtype metadata leads to wrong Parquet
column type
Key: ARROW-8378
URL: https://issues.apache.org/jira/browse/ARROW-8378
Project: Apache
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https://issues.apache.org/jira/browse/ARROW-4885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-4885:
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Description:
h1. Summary
{\{read_csv()}} crashes when given a {{decimal128}} column type in its
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https://issues.apache.org/jira/browse/ARROW-4883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-4883:
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Description:
h1. Summary:
Python 3:
* {{read_csv}} returns mojibake if given file objects
Diego Argueta created ARROW-4967:
Summary: Object type and stats lost when using 96-bit timestamps
Key: ARROW-4967
URL: https://issues.apache.org/jira/browse/ARROW-4967
Project: Apache Arrow
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https://issues.apache.org/jira/browse/ARROW-4885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-4885:
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Description:
h1. Summary
{\{read_csv()}} crashes when given a {{decimal128}} column type in its
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https://issues.apache.org/jira/browse/ARROW-4883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-4883:
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Summary: [Python] read_csv() returns garbage if given file object in text
mode (was: [Python]
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https://issues.apache.org/jira/browse/ARROW-4885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-4885:
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Description:
h1. Summary
CSV cannot use {{Decimal128Type}}. The cause is that there's no
Diego Argueta created ARROW-4885:
Summary: [Python] read_csv() can't handle decimal128() columns
Key: ARROW-4885
URL: https://issues.apache.org/jira/browse/ARROW-4885
Project: Apache Arrow
Diego Argueta created ARROW-4883:
Summary: [Python] read_csv() gives mojibake if given file object
in text mode
Key: ARROW-4883
URL: https://issues.apache.org/jira/browse/ARROW-4883
Project: Apache
Diego Argueta created ARROW-4457:
Summary: [Python] Cannot create Decimal128 array using integers
Key: ARROW-4457
URL: https://issues.apache.org/jira/browse/ARROW-4457
Project: Apache Arrow
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https://issues.apache.org/jira/browse/ARROW-3999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3999:
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Description:
I loaded a large Pandas DataFrame from a CSV and successfully wrote it to a
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https://issues.apache.org/jira/browse/ARROW-3999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3999:
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Description:
I loaded a large Pandas DataFrame from a CSV and successfully wrote it to a
Diego Argueta created ARROW-3999:
Summary: [Python] Can't read large file that pyarrow wrote
Key: ARROW-3999
URL: https://issues.apache.org/jira/browse/ARROW-3999
Project: Apache Arrow
Issue
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https://issues.apache.org/jira/browse/ARROW-3703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3703:
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Description:
On CPython 2.7.15, 3.5.6, 3.6.6, and 3.7.0, creating a Pandas DataFrame with a
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https://issues.apache.org/jira/browse/ARROW-3703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3703:
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Description:
On CPython 2.7.15, 3.5.6, 3.6.6, and 3.7.0, creating a Pandas DataFrame with a
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https://issues.apache.org/jira/browse/ARROW-3703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3703:
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Environment:
pandas 0.23.4
pyarrow 0.11.1
Python 2.7, 3.5 - 3.7
MacOS High Sierra (10.13.6)
Diego Argueta created ARROW-3703:
Summary: [Python] DataFrame.to_parquet crashes if datetime column
has time zones
Key: ARROW-3703
URL: https://issues.apache.org/jira/browse/ARROW-3703
Project:
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https://issues.apache.org/jira/browse/ARROW-3329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16629576#comment-16629576
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Diego Argueta edited comment on ARROW-3329 at 9/27/18 12:41 AM:
This
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https://issues.apache.org/jira/browse/ARROW-3329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16629576#comment-16629576
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Diego Argueta commented on ARROW-3329:
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This isn't a bug, it's a mathematical issue. Let me explain:
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https://issues.apache.org/jira/browse/ARROW-3012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3012:
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Description:
To reproduce, on Python 3.7.0:
{code:none}
pip3.7 install pyarrow==0.10.0
{code}
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https://issues.apache.org/jira/browse/ARROW-3012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3012:
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Description:
To reproduce, on Python 3.7.0:
{code:none}
pip3.7 install pyarrow==0.10.0
{code}
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https://issues.apache.org/jira/browse/ARROW-3012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-3012:
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Description:
To reproduce, on Python 3.7.0:
{code:none}
pip3.7 install pyarrow==0.10.0
{code}
Diego Argueta created ARROW-3012:
Summary: Installation crashes on Python 3.7
Key: ARROW-3012
URL: https://issues.apache.org/jira/browse/ARROW-3012
Project: Apache Arrow
Issue Type: Bug
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https://issues.apache.org/jira/browse/ARROW-2026?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-2026:
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Summary: [Python] µs timestamps saved as int64 even if
use_deprecated_int96_timestamps=True
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https://issues.apache.org/jira/browse/ARROW-2026?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-2026:
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Summary: [Python] Timestamps saved as int64 even if
use_deprecated_int96_timestamps=True (was:
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https://issues.apache.org/jira/browse/ARROW-2020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-2020:
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Labels: timestamps (was: )
> [Python] Parquet segfaults if coercing ns timestamps and writing
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https://issues.apache.org/jira/browse/ARROW-2026?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-2026:
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Description:
When writing to a Parquet file, if `use_deprecated_int96_timestamps` is True,
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https://issues.apache.org/jira/browse/ARROW-2026?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Diego Argueta updated ARROW-2026:
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Description:
When writing to a Parquet file, if `use_deprecated_int96_timestamps` is True,
Diego Argueta created ARROW-2026:
Summary: Timestamps saved as int64 even if
use_deprecated_int96_timestamps=True
Key: ARROW-2026
URL: https://issues.apache.org/jira/browse/ARROW-2026
Project: Apache
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