Movatterモバイル変換

[0]ホーム
URL:

Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

 Sign up
Appearance settings

Commitfdf906d

Browse files
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>
1 parentbaa27cc commitfdf906d

File tree

1 file changed

+33
-9
lines changed

1 file changed

+33
-9
lines changed

‎library/statistics.po‎

Lines changed: 33 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@ msgstr ""
99
"Project-Id-Version:Python 3.11\n"
1010
"Report-Msgid-Bugs-To:\n"
1111
"POT-Creation-Date:2023-05-03 00:17+0000\n"
12-
"PO-Revision-Date:2023-07-09 21:14+0800\n"
12+
"PO-Revision-Date:2023-07-10 23:56+0800\n"
1313
"Last-Translator:Adrian Liaw <adrianliaw2000@gmail.com>\n"
1414
"Language-Team:Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
1515
"tw)\n"
@@ -251,7 +251,7 @@ msgstr ":func:`linear_regression`"
251251

252252
#:../../library/statistics.rst:108
253253
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。"
255255

256256
#:../../library/statistics.rst:113
257257
msgid"Function details"
@@ -864,8 +864,8 @@ msgid ""
864864
"them and assigns the following percentiles: 10%, 20%, 30%, 40%, 50%, 60%, "
865865
"70%, 80%, 90%."
866866
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 + "
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"
868+
"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 + "
869869
"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%、"
870870
"40%、50%、60%、70%、80%、90%。"
871871

@@ -880,23 +880,26 @@ msgid ""
880880
"assigns the following percentiles: 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, "
881881
"80%, 90%, 100%."
882882
msgstr""
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樣"
884-
"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"
885-
"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"
886-
"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%、"
887+
"30%、40%、50%、60%、70%、80%、90%、100%。"
888888

889889
#:../../library/statistics.rst:629
890890
msgid""
891891
"Return the sample covariance of two inputs *x* and *y*. Covariance is a "
892892
"measure of the joint variability of two inputs."
893893
msgstr""
894+
"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"
895+
"入的聯合變異性 (joint variability) 的指標。"
894896

895897
#:../../library/statistics.rst:632
896898
msgid""
897899
"Both inputs must be of the same length (no less than two), otherwise :exc:"
898900
"`StatisticsError` is raised."
899901
msgstr""
902+
"兩輸入必須具有相同長度（至少兩個），否則會引發 :exc:`StatisticsError`。"
900903

901904
#:../../library/statistics.rst:653
902905
msgid""
@@ -907,12 +910,18 @@ msgid ""
907910
"linear relationship, -1 very strong, negative linear relationship, and 0 no "
908911
"linear relationship."
909912
msgstr""
913+
"回傳兩輸入的 `Pearson 相關係數 (Pearson’s correlation coefficient) <https://"
914+
"en.wikipedia.org/wiki/Pearson_correlation_coefficient>`。Pearson 相關係數 "
915+
"*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"
916+
"性相關，-1 表示強烈負線性相關，而 0 表示無線性關係。"
910917

911918
#:../../library/statistics.rst:660
912919
msgid""
913920
"Both inputs must be of the same length (no less than two), and need not to "
914921
"be constant, otherwise :exc:`StatisticsError` is raised."
915922
msgstr""
923+
"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:"
924+
"`StatisticsError`。"
916925

917926
#:../../library/statistics.rst:678
918927
msgid""
@@ -922,6 +931,11 @@ msgid ""
922931
"between an independent variable *x* and a dependent variable *y* in terms of "
923932
"this linear function:"
924933
msgstr""
934+
"回傳使用普通最小平方法 (ordinary least square) 估計出的\\ `簡單線性迴歸 "
935+
"(simple linear regression) <https://en.wikipedia.org/wiki/"
936+
"Simple_linear_regression>`_ 參數中的斜率 (slope) 與截距 (intercept)。簡單線性"
937+
"迴歸描述自變數 (independent variable) *x* 與應變數 (dependent variable) *y* "
938+
"之間的關係，用以下的線性函式表示："
925939

926940
#:../../library/statistics.rst:684
927941
msgid"*y = slope\\* x + intercept + noise*"
@@ -934,13 +948,17 @@ msgid ""
934948
"explained by the linear regression (it is equal to the difference between "
935949
"predicted and actual values of the dependent variable)."
936950
msgstr""
951+
"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）。"
937953

938954
#:../../library/statistics.rst:692
939955
msgid""
940956
"Both inputs must be of the same length (no less than two), and the "
941957
"independent variable *x* cannot be constant; otherwise a :exc:"
942958
"`StatisticsError` is raised."
943959
msgstr""
960+
"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`。"
944962

945963
#:../../library/statistics.rst:696
946964
msgid""
@@ -949,6 +967,9 @@ msgid ""
949967
"cumulative number of Monty Python films that would have been produced by "
950968
"2019 assuming that they had kept the pace."
951969
msgstr""
970+
"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。"
952973

953974
#:../../library/statistics.rst:710
954975
msgid""
@@ -957,6 +978,9 @@ msgid ""
957978
"line passing through the origin. Since the *intercept* will always be 0.0, "
958979
"the underlying linear function simplifies to:"
959980
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："
960984

961985
#:../../library/statistics.rst:716
962986
msgid"*y = slope\\* x + noise*"

0 commit comments

Comments
 (0)
[8]ページ先頭
©2009-2025 Movatter.jp