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Commitfdf906d

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Add translations oflibrary/statistics.po (#465)
* Add translations of covariance, correlation and linear_regression* Update library/statistics.poCo-authored-by: Wei-Hsiang (Matt) Wang <mattwang44@gmail.com>* Update library/statistics.poCo-authored-by: Wei-Hsiang (Matt) Wang <mattwang44@gmail.com>* Update library/statistics.poCo-authored-by: Wei-Hsiang (Matt) Wang <mattwang44@gmail.com>---------Co-authored-by: Wei-Hsiang (Matt) Wang <mattwang44@gmail.com>
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‎library/statistics.po

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Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@ msgstr ""
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"Project-Id-Version:Python 3.11\n"
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"Report-Msgid-Bugs-To:\n"
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"POT-Creation-Date:2023-05-03 00:17+0000\n"
12-
"PO-Revision-Date:2023-07-09 21:14+0800\n"
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"PO-Revision-Date:2023-07-10 23:56+0800\n"
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"Last-Translator:Adrian Liaw <adrianliaw2000@gmail.com>\n"
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"Language-Team:Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
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"tw)\n"
@@ -251,7 +251,7 @@ msgstr ":func:`linear_regression`"
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#:../../library/statistics.rst:108
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msgid"Slope and intercept for simple linear regression."
254-
msgstr"簡單線性回歸的斜率和截距。"
254+
msgstr"簡單線性迴歸的斜率和截距。"
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#:../../library/statistics.rst:113
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msgid"Function details"
@@ -864,8 +864,8 @@ msgid ""
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"them and assigns the following percentiles: 10%, 20%, 30%, 40%, 50%, 60%, "
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"70%, 80%, 90%."
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msgstr""
867-
"預設的 *method* 是\"exclusive\"，用於從可能找到比樣本更極端的值的母體中抽樣的"
868-
"樣本資料。對於 *m* 個已排序的資料點，計算出低於 *i-th* 的部分為 ``i / (m + "
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"預設的 *method* 是\"exclusive\"，用於從可能找到比樣本更極端的值的母體中抽樣"
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"的樣本資料。對於 *m* 個已排序的資料點，計算出低於 *i-th* 的部分為 ``i / (m + "
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"1)``。給定九個樣本資料，此方法將對資料排序且計算下列百分位數：10%、20%、30%、"
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"40%、50%、60%、70%、80%、90%。"
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@@ -880,23 +880,26 @@ msgid ""
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"assigns the following percentiles: 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, "
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"80%, 90%, 100%."
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msgstr""
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"若將 *method* 設為\"inclusive\"，則用於描述母體或者已知包含母體中最極端值的樣"
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"本資料。在 *data* 中的最小值被視為第 0 百分位數，最大值為第 100 百分位數。對"
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"於 *m* 個已排序的資料點，計算出低於 *i-th* 的部分為 ``(i - 1) / (m - 1)``。給"
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"定十一個個樣本資料，此方法將對資料排序且計算下列百分位數：0%、10%、20%、30%、"
887-
"40%、50%、60%、70%、80%、90%、100%。"
883+
"若將 *method* 設為\"inclusive\"，則用於描述母體或者已知包含母體中最極端值的"
884+
"樣本資料。在 *data* 中的最小值被視為第 0 百分位數，最大值為第 100 百分位數。"
885+
"對於 *m* 個已排序的資料點，計算出低於 *i-th* 的部分為 ``(i - 1) / (m - 1)``。"
886+
"給定十一個個樣本資料，此方法將對資料排序且計算下列百分位數：0%、10%、20%、"
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"30%、40%、50%、60%、70%、80%、90%、100%。"
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#:../../library/statistics.rst:629
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msgid""
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"Return the sample covariance of two inputs *x* and *y*. Covariance is a "
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"measure of the joint variability of two inputs."
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msgstr""
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"回傳兩輸入 *x* 與 *y* 的樣本共變異數 (sample covariance)。共變異數是衡量兩輸"
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"入的聯合變異性 (joint variability) 的指標。"
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#:../../library/statistics.rst:632
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msgid""
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"Both inputs must be of the same length (no less than two), otherwise :exc:"
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"`StatisticsError` is raised."
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msgstr""
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"兩輸入必須具有相同長度（至少兩個），否則會引發 :exc:`StatisticsError`。"
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#:../../library/statistics.rst:653
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msgid""
@@ -907,12 +910,18 @@ msgid ""
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"linear relationship, -1 very strong, negative linear relationship, and 0 no "
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"linear relationship."
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msgstr""
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"回傳兩輸入的 `Pearson 相關係數 (Pearson’s correlation coefficient) <https://"
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"en.wikipedia.org/wiki/Pearson_correlation_coefficient>`。Pearson 相關係數 "
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"*r* 的值介於 -1 與 +1 之間。它衡量線性關係的強度與方向，其中 +1 表示強烈正線"
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"性相關，-1 表示強烈負線性相關，而 0 表示無線性關係。"
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#:../../library/statistics.rst:660
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msgid""
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"Both inputs must be of the same length (no less than two), and need not to "
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"be constant, otherwise :exc:`StatisticsError` is raised."
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msgstr""
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"兩輸入必須具有相同長度（至少兩個），且不須為常數，否則會引發 :exc:"
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"`StatisticsError`。"
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#:../../library/statistics.rst:678
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msgid""
@@ -922,6 +931,11 @@ msgid ""
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"between an independent variable *x* and a dependent variable *y* in terms of "
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"this linear function:"
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msgstr""
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"回傳使用普通最小平方法 (ordinary least square) 估計出的\\ `簡單線性迴歸 "
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"(simple linear regression) <https://en.wikipedia.org/wiki/"
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"Simple_linear_regression>`_ 參數中的斜率 (slope) 與截距 (intercept)。簡單線性"
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"迴歸描述自變數 (independent variable) *x* 與應變數 (dependent variable) *y* "
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"之間的關係，用以下的線性函式表示："
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#:../../library/statistics.rst:684
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msgid"*y = slope\\* x + intercept + noise*"
@@ -934,13 +948,17 @@ msgid ""
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"explained by the linear regression (it is equal to the difference between "
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"predicted and actual values of the dependent variable)."
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msgstr""
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"其中 ``slope`` 和 ``intercept`` 是被估計的迴歸參數，而 ``noise`` 表示由線性迴"
952+
"歸未解釋的資料變異性（它等於應變數的預測值與實際值之差）。"
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#:../../library/statistics.rst:692
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msgid""
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"Both inputs must be of the same length (no less than two), and the "
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"independent variable *x* cannot be constant; otherwise a :exc:"
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"`StatisticsError` is raised."
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msgstr""
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"兩輸入必須具有相同長度（至少兩個），且自變數 *x* 不得為常數，否則會引發 :exc:"
961+
"`StatisticsError`。"
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#:../../library/statistics.rst:696
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msgid""
@@ -949,6 +967,9 @@ msgid ""
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"cumulative number of Monty Python films that would have been produced by "
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"2019 assuming that they had kept the pace."
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msgstr""
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"舉例來說，我們可以使用 `Monty Python 系列電影的上映日期 <https://en."
971+
"wikipedia.org/wiki/Monty_Python#Films>`_\\ 來預測至 2019 年為止，假設他們保持固"
972+
"定的製作速度，應該會產生的 Monty Python 電影的累計數量。"
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#:../../library/statistics.rst:710
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msgid""
@@ -957,6 +978,9 @@ msgid ""
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"line passing through the origin. Since the *intercept* will always be 0.0, "
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"the underlying linear function simplifies to:"
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msgstr""
981+
"若將 *proportional* 設為 True，則假設自變數 *x* 與應變數"
982+
" *y* 是直接成比例的，資料座落在通過原點的一直線上。由於 *intercept* "
983+
"始終為 0.0，因此線性函式可簡化如下："
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961985
#:../../library/statistics.rst:716
962986
msgid"*y = slope\\* x + noise*"

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