# 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.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.6.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-09-17 17:19+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"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/dataframe/api/mars.dataframe.DataFrame.memory_usage.rst:2
msgid "mars.dataframe.DataFrame.memory\\_usage"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:1 of
msgid "Return the memory usage of each column in bytes."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:3 of
msgid ""
"The memory usage can optionally include the contribution of the index and"
" elements of `object` dtype."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:6 of
msgid ""
"This value is displayed in `DataFrame.info` by default. This can be "
"suppressed by setting ``pandas.options.display.memory_usage`` to False."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage of
msgid "Parameters"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:9 of
msgid ""
"Specifies whether to include the memory usage of the DataFrame's index in"
" returned Series. If ``index=True``, the memory usage of the index is the"
" first item in the output."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:13 of
msgid ""
"If True, introspect the data deeply by interrogating `object` dtypes for "
"system-level memory consumption, and include it in the returned values."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage of
msgid "Returns"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:18 of
msgid ""
"A Series whose index is the original column names and whose values is the"
" memory usage of each column in bytes."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage of
msgid "Return type"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:25 of
msgid ":meth:`numpy.ndarray.nbytes`"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:25 of
msgid "Total bytes consumed by the elements of an ndarray."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:28 of
msgid ":meth:`Series.memory_usage`"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:28 of
msgid "Bytes consumed by a Series."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:31 of
msgid ":meth:`Categorical`"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:31 of
msgid "Memory-efficient array for string values with many repeated values."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:33 of
msgid ":meth:`DataFrame.info`"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:34 of
msgid "Concise summary of a DataFrame."
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:37 of
msgid "Examples"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:69 of
msgid "The memory footprint of `object` dtype columns is ignored by default:"
msgstr ""

#: mars.dataframe.DataFrame.memory_usage:80 of
msgid ""
"Use a Categorical for efficient storage of an object-dtype column with "
"many repeated values."
msgstr ""

