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# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
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#
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msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
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#: ../../source/reference/dataframe/api/mars.dataframe.DataFrame.ewm.rst:2
msgid "mars.dataframe.DataFrame.ewm"
msgstr ""

#: mars.dataframe.DataFrame.ewm:1 of
msgid "Provide exponential weighted functions."
msgstr ""

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

#: mars.dataframe.DataFrame.ewm:3 of
msgid ""
"Specify decay in terms of center of mass, :math:`\\alpha = 1 / (1 + "
"com),\\text{ for } com \\geq 0`."
msgstr ""

#: mars.dataframe.DataFrame.ewm:6 of
msgid ""
"Specify decay in terms of span, :math:`\\alpha = 2 / (span + 1),\\text{ "
"for } span \\geq 1`."
msgstr ""

#: mars.dataframe.DataFrame.ewm:9 of
msgid ""
"Specify decay in terms of half-life, :math:`\\alpha = 1 - exp(log(0.5) / "
"halflife),\\text{for} halflife > 0`."
msgstr ""

#: mars.dataframe.DataFrame.ewm:12 of
msgid ""
"Specify smoothing factor :math:`\\alpha` directly, :math:`0 < \\alpha "
"\\leq 1`."
msgstr ""

#: mars.dataframe.DataFrame.ewm:15 of
msgid ""
"Minimum number of observations in window required to have a value "
"(otherwise result is NA)."
msgstr ""

#: mars.dataframe.DataFrame.ewm:18 of
msgid ""
"Divide by decaying adjustment factor in beginning periods to account for "
"imbalance in relative weightings (viewing EWMA as a moving average)."
msgstr ""

#: mars.dataframe.DataFrame.ewm:22 of
msgid ""
"Ignore missing values when calculating weights; specify True to reproduce"
" pre-0.15.0 behavior."
msgstr ""

#: mars.dataframe.DataFrame.ewm:25 of
msgid ""
"The axis to use. The value 0 identifies the rows, and 1 identifies the "
"columns."
msgstr ""

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

#: mars.dataframe.DataFrame.ewm:29 of
msgid "A Window sub-classed for the particular operation."
msgstr ""

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

#: mars.dataframe.DataFrame.ewm:35 of
msgid ":meth:`rolling`"
msgstr ""

#: mars.dataframe.DataFrame.ewm:35 of
msgid "Provides rolling window calculations."
msgstr ""

#: mars.dataframe.DataFrame.ewm:37 of
msgid ":meth:`expanding`"
msgstr ""

#: mars.dataframe.DataFrame.ewm:38 of
msgid "Provides expanding transformations."
msgstr ""

#: mars.dataframe.DataFrame.ewm:41 of
msgid "Notes"
msgstr ""

#: mars.dataframe.DataFrame.ewm:42 of
msgid ""
"Exactly one of center of mass, span, half-life, and alpha must be "
"provided."
msgstr ""

#: mars.dataframe.DataFrame.ewm:44 of
msgid ""
"Allowed values and relationship between the parameters are specified in "
"the parameter descriptions above; see the link at the end of this section"
" for a detailed explanation."
msgstr ""

#: mars.dataframe.DataFrame.ewm:48 of
msgid ""
"When adjust is True (default), weighted averages are calculated using "
"weights (1-alpha)**(n-1), (1-alpha)**(n-2), ..., 1-alpha, 1."
msgstr ""

#: mars.dataframe.DataFrame.ewm:51 of
msgid "When adjust is False, weighted averages are calculated recursively as:"
msgstr ""

#: mars.dataframe.DataFrame.ewm:53 of
msgid ""
"weighted_average[0] = arg[0]; weighted_average[i] = "
"(1-alpha)*weighted_average[i-1] + alpha*arg[i]."
msgstr ""

#: mars.dataframe.DataFrame.ewm:56 of
msgid ""
"When ignore_na is False (default), weights are based on absolute "
"positions. For example, the weights of x and y used in calculating the "
"final weighted average of [x, None, y] are (1-alpha)**2 and 1 (if adjust "
"is True), and (1-alpha)**2 and alpha (if adjust is False)."
msgstr ""

#: mars.dataframe.DataFrame.ewm:61 of
msgid ""
"When ignore_na is True (reproducing pre-0.15.0 behavior), weights are "
"based on relative positions. For example, the weights of x and y used in "
"calculating the final weighted average of [x, None, y] are 1-alpha and 1 "
"(if adjust is True), and 1-alpha and alpha (if adjust is False)."
msgstr ""

#: mars.dataframe.DataFrame.ewm:66 of
msgid ""
"More details can be found at https://pandas.pydata.org/pandas-"
"docs/stable/user_guide/computation.html#exponentially-weighted-windows"
msgstr ""

#: mars.dataframe.DataFrame.ewm:70 of
msgid "Examples"
msgstr ""

