Return-Path: X-Original-To: apmail-arrow-dev-archive@minotaur.apache.org Delivered-To: apmail-arrow-dev-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id D51F019723 for ; Wed, 30 Mar 2016 08:57:25 +0000 (UTC) Received: (qmail 41454 invoked by uid 500); 30 Mar 2016 08:57:25 -0000 Delivered-To: apmail-arrow-dev-archive@arrow.apache.org Received: (qmail 41387 invoked by uid 500); 30 Mar 2016 08:57:25 -0000 Mailing-List: contact dev-help@arrow.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@arrow.apache.org Delivered-To: mailing list dev@arrow.apache.org Received: (qmail 41341 invoked by uid 99); 30 Mar 2016 08:57:25 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 30 Mar 2016 08:57:25 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id 74CFD2C033A for ; Wed, 30 Mar 2016 08:57:25 +0000 (UTC) Date: Wed, 30 Mar 2016 08:57:25 +0000 (UTC) From: "Uwe L. Korn (JIRA)" To: dev@arrow.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (ARROW-86) Python: Implement zero-copy Arrow-to-Pandas conversion MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/ARROW-86?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15217683#comment-15217683 ] Uwe L. Korn commented on ARROW-86: ---------------------------------- PR: https://github.com/apache/arrow/pull/52 > Python: Implement zero-copy Arrow-to-Pandas conversion > ------------------------------------------------------ > > Key: ARROW-86 > URL: https://issues.apache.org/jira/browse/ARROW-86 > Project: Apache Arrow > Issue Type: Improvement > Components: Python > Reporter: Uwe L. Korn > Assignee: Uwe L. Korn > > For this to work, we need: > * a check if the Arrow Array could be represented as Pandas Series using the same memory buffer > * a {{numpy.ndarray}} subclass that keeps a reference to the Arrow Array > With the NumPy C-API it is already possible to create a {{numpy.ndarray}} instance that uses the Arrow Array memory buffer internally but there is no way to keep track if the {{numpy.ndarray}} still lives or the underlying memory can be free'd. -- This message was sent by Atlassian JIRA (v6.3.4#6332)