# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
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msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-08-03 18:42+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
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"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/dataframe/groupby.rst:5
msgid "GroupBy"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:8
msgid ""
"GroupBy objects are returned by groupby calls: "
":func:`mars.dataframe.DataFrame.groupby`, "
":func:`mars.dataframe.Series.groupby`, etc."
msgstr ""
"GroupBy 对象是 groupby 方法调用的结果，groupby 方法可以是 :func:`mars."
"dataframe.DataFrame.groupby` 或者 :func:`mars.dataframe.Series.groupby` "
"等。"

#: ../../source/reference/dataframe/groupby.rst:12
msgid "Indexing, iteration"
msgstr "索引和迭代"

#: ../../source/reference/dataframe/groupby.rst:25
msgid "Function application"
msgstr "应用函数"

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid ""
":obj:`GroupBy.apply <mars.dataframe.groupby.GroupBy.apply>`\\ \\(func\\, "
"\\*args\\[\\, output\\_type\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid "Apply function `func` group-wise and combine the results together."
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid ""
":obj:`GroupBy.agg <mars.dataframe.groupby.GroupBy.agg>`\\ \\(\\[func\\, "
"method\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid "Aggregate using one or more operations on grouped data."
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid ""
":obj:`GroupBy.aggregate <mars.dataframe.groupby.GroupBy.aggregate>`\\ "
"\\(\\[func\\, method\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid ""
":obj:`GroupBy.transform <mars.dataframe.groupby.GroupBy.transform>`\\ "
"\\(f\\, \\*args\\[\\, dtypes\\, dtype\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:33:<autosummary>:1
msgid ""
"Call function producing a like-indexed DataFrame on each group and return"
" a DataFrame having the same indexes as the original object filled with "
"the transformed values"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:35
msgid "Computations / descriptive stats"
msgstr "计算和描述统计"

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.all <mars.dataframe.groupby.GroupBy.all>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.any <mars.dataframe.groupby.GroupBy.any>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.count <mars.dataframe.groupby.GroupBy.count>`\\ "
"\\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.cumcount <mars.dataframe.groupby.GroupBy.cumcount>`\\ "
"\\(\\[ascending\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.cummax <mars.dataframe.groupby.GroupBy.cummax>`\\ "
"\\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.cummin <mars.dataframe.groupby.GroupBy.cummin>`\\ "
"\\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.cumprod <mars.dataframe.groupby.GroupBy.cumprod>`\\ "
"\\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.cumsum <mars.dataframe.groupby.GroupBy.cumsum>`\\ "
"\\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.head <mars.dataframe.groupby.GroupBy.head>`\\ \\(\\[n\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid "Return first n rows of each group."
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.kurt <mars.dataframe.groupby.GroupBy.kurt>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ""
":obj:`GroupBy.kurtosis <mars.dataframe.groupby.GroupBy.kurtosis>`\\ "
"\\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.max <mars.dataframe.groupby.GroupBy.max>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.mean <mars.dataframe.groupby.GroupBy.mean>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.min <mars.dataframe.groupby.GroupBy.min>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.size <mars.dataframe.groupby.GroupBy.size>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.sem <mars.dataframe.groupby.GroupBy.sem>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.skew <mars.dataframe.groupby.GroupBy.skew>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.std <mars.dataframe.groupby.GroupBy.std>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.sum <mars.dataframe.groupby.GroupBy.sum>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:59:<autosummary>:1
msgid ":obj:`GroupBy.var <mars.dataframe.groupby.GroupBy.var>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:60
msgid ""
"The following methods are available in both ``SeriesGroupBy`` and "
"``DataFrameGroupBy`` objects, but may differ slightly, usually in that "
"the ``DataFrameGroupBy`` version usually permits the specification of an "
"axis argument, and often an argument indicating whether to restrict "
"application to columns of a specific data type."
msgstr ""
"下面的方法对 ``SeriesGroupBy`` 和 ``DataFrameGroupBy`` 均可用，但有细微的"
"差别。通常 ``DataFrameGroupBy`` 允许指定坐标，以及会提供一个是否将操作"
"限制在特定数据类型上的参数。"

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid ""
":obj:`DataFrameGroupBy.count "
"<mars.dataframe.groupby.DataFrameGroupBy.count>`\\ \\(\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid ""
":obj:`DataFrameGroupBy.cummax "
"<mars.dataframe.groupby.DataFrameGroupBy.cummax>`\\ \\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid ""
":obj:`DataFrameGroupBy.cummin "
"<mars.dataframe.groupby.DataFrameGroupBy.cummin>`\\ \\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid ""
":obj:`DataFrameGroupBy.cumprod "
"<mars.dataframe.groupby.DataFrameGroupBy.cumprod>`\\ \\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid ""
":obj:`DataFrameGroupBy.cumsum "
"<mars.dataframe.groupby.DataFrameGroupBy.cumsum>`\\ \\(\\[axis\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid ""
":obj:`DataFrameGroupBy.sample "
"<mars.dataframe.groupby.DataFrameGroupBy.sample>`\\ \\(\\[n\\, frac\\, "
"replace\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:75:<autosummary>:1
msgid "Return a random sample of items from each group."
msgstr ""

#: ../../source/reference/dataframe/groupby.rst:76
msgid "The following methods are available only for ``SeriesGroupBy`` objects."
msgstr "下列方法仅对 ``SeriesGroupBy`` 对象可用。"

#: ../../source/reference/dataframe/groupby.rst:82
msgid "The following methods are available only for ``DataFrameGroupBy`` objects."
msgstr "下列方法仅对 ``DataFrameGroupBy`` 对象可用。"

