diff --git a/mgaughan-rstudio-server_24810962.out b/mgaughan-rstudio-server_24810962.out deleted file mode 100644 index 5485729..0000000 --- a/mgaughan-rstudio-server_24810962.out +++ /dev/null @@ -1,18 +0,0 @@ -1. SSH tunnel from your workstation using the following command: - - ssh -N -L 8787:n3439:36687 mjilg@klone.hyak.uw.edu - - and point your web browser to http://localhost:8787 - -2. log in to RStudio Server using the following credentials: - - user: mjilg - password: kYV6l/rzT7dbLI0xaX1j - -When done using RStudio Server, terminate the job by: - -1. Exit the RStudio Session ("power" button in the top right corner of the RStudio window) -2. Issue the following command on the login node: - - scancel -f 24810962 -slurmstepd: error: *** JOB 24810962 ON n3439 CANCELLED AT 2025-03-12T21:58:24 DUE TO TIME LIMIT *** diff --git a/text_analysis/case1/.ipynb_checkpoints/031025_phab_comments-checkpoint.ipynb b/text_analysis/case1/.ipynb_checkpoints/031025_phab_comments-checkpoint.ipynb index 3921b35..0e3420b 100644 --- a/text_analysis/case1/.ipynb_checkpoints/031025_phab_comments-checkpoint.ipynb +++ b/text_analysis/case1/.ipynb_checkpoints/031025_phab_comments-checkpoint.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 2, "id": "e4f0b3f0-5255-46f1-822f-e455087ba315", "metadata": {}, "outputs": [], @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "id": "d449164e-1d28-4580-9eb1-f0f69978f114", "metadata": {}, "outputs": [], @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, "id": "942344db-c8f5-4ed6-a757-c97f8454f18b", "metadata": {}, "outputs": [ @@ -85,359 +85,7 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "c0aade6b-f425-4f9b-ae2a-721ea49712ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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task_titlecomment_textdate_createdspeakermeta.affilconversation_idcomment_typestatustextresolved_textmeta.gerritidreply_tofirst_commenttimestamp
708VisualEditor: [Regression] \"More\" menu gets sh...Tested on both the Italian and the English Wik...1380976920PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_descriptionresolvedTested on both the Italian and the English Wik...Tested on both the Italian and the English Wik...False709NaNFalse2013-10-05 12:42:00+00:00
709VisualEditor: [Regression] \"More\" menu gets sh...Note that this is fixed and has been deployed ...1381281033PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNNote that this is fixed and has been deployed ...Note that this is fixed and has been deployed ...False710709.0False2013-10-09 01:10:33+00:00
712VisualEditor: [Regression] \"More\" menu gets sh...*** Bug 55362 has been marked as a duplicate o...1381267451PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN*** Bug 55362 has been marked as a duplicate o...*** Bug 55362 has been marked as a duplicate o...False713712.0False2013-10-08 21:24:11+00:00
717VisualEditor: [Regression] \"More\" menu gets sh...(In reply to comment #6)\\n> Krinkle, do I need...1381168024PHID-USER-sai77mtxmpqnm6pycyvzTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN(In reply to comment #6)\\n> Krinkle, do I need...(In reply to comment #6)\\n> Krinkle, do I need...False718717.0False2013-10-07 17:47:04+00:00
718VisualEditor: [Regression] \"More\" menu gets sh...Krinkle, do I need to file a different bug for...1381142922PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNKrinkle, do I need to file a different bug for...Krinkle, do Krinkle need to file a different b...False719718.0False2013-10-07 10:48:42+00:00
................................................
32172Setup wikibugs and gerrit-wm for #mediawiki-vi...Puppet config for wikibugs:\\n\\nhttps://gerrit....1354738560PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_descriptionresolvedPuppet config for wikibugs:\\n\\nhttps://gerrit....Puppet config for wikibugs:\\n\\nhttps://gerrit....False32173NaNFalse2012-12-05 20:16:00+00:00
32178Setup wikibugs and gerrit-wm for #mediawiki-vi...gerrit-wm is done, but wikibugs is \"an almight...1360206228PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNgerrit-wm is done, but wikibugs is \"an almight...gerrit-wm is done, but wikibugs is \"an almight...False3217932178.0False2013-02-07 03:03:48+00:00
32179Setup wikibugs and gerrit-wm for #mediawiki-vi...Attempted fixes in Gerrit 37566 and Gerrit 37570.1354926921PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNAttempted fixes in Gerrit 37566 and Gerrit 37570.Attempted fixes in Gerrit 37566 and Gerrit 37570.False3218032179.0False2012-12-08 00:35:21+00:00
32180VisualEditor: Two replacements within the same...Test case:\\n\\n+ 'removin...1353134520PHID-USER-fovtl67ew4l4cc3oeypcFalsePHID-TASK-guukovmsjsnlpphgujcvtask_descriptioninvalidTest case:\\n\\n+ 'removin...Test case:\\n\\n+ 'removin...False32181NaNFalse2012-11-17 06:42:00+00:00
32181VisualEditor: Two replacements within the same...With bug 45061 all change marker code has been...1360975473PHID-USER-it53o2f2kyryqyj33uztFalsePHID-TASK-guukovmsjsnlpphgujcvtask_subcommentNaNWith bug 45061 all change marker code has been...With bug 45061 all change marker code has been...False3218232181.0False2013-02-16 00:44:33+00:00
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8804 rows × 15 columns

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" - ], - "text/plain": [ - " task_title \\\n", - "708 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "709 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "712 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "717 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "718 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "... ... \n", - "32172 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32178 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32179 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32180 VisualEditor: Two replacements within the same... \n", - "32181 VisualEditor: Two replacements within the same... \n", - "\n", - " comment_text date_created \\\n", - "708 Tested on both the Italian and the English Wik... 1380976920 \n", - "709 Note that this is fixed and has been deployed ... 1381281033 \n", - "712 *** Bug 55362 has been marked as a duplicate o... 1381267451 \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... 1381168024 \n", - "718 Krinkle, do I need to file a different bug for... 1381142922 \n", - "... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... 1354738560 \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... 1360206228 \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. 1354926921 \n", - "32180 Test case:\\n\\n+ 'removin... 1353134520 \n", - "32181 With bug 45061 all change marker code has been... 1360975473 \n", - "\n", - " speaker meta.affil \\\n", - "708 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "709 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "712 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "717 PHID-USER-sai77mtxmpqnm6pycyvz True \n", - "718 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "... ... ... \n", - "32172 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32178 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32179 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32180 PHID-USER-fovtl67ew4l4cc3oeypc False \n", - "32181 PHID-USER-it53o2f2kyryqyj33uzt False \n", - "\n", - " conversation_id comment_type status \\\n", - "708 PHID-TASK-64s56xzrc22ustp2z7wx task_description resolved \n", - "709 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "712 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "717 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "718 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "... ... ... ... \n", - "32172 PHID-TASK-ciosa56mnibqn4lx27ub task_description resolved \n", - "32178 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32179 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32180 PHID-TASK-guukovmsjsnlpphgujcv task_description invalid \n", - "32181 PHID-TASK-guukovmsjsnlpphgujcv task_subcomment NaN \n", - "\n", - " text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 *** Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do I need to file a different bug for... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " resolved_text meta.gerrit id \\\n", - "708 Tested on both the Italian and the English Wik... False 709 \n", - "709 Note that this is fixed and has been deployed ... False 710 \n", - "712 *** Bug 55362 has been marked as a duplicate o... False 713 \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... False 718 \n", - "718 Krinkle, do Krinkle need to file a different b... False 719 \n", - "... ... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... False 32173 \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... False 32179 \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. False 32180 \n", - "32180 Test case:\\n\\n+ 'removin... False 32181 \n", - "32181 With bug 45061 all change marker code has been... False 32182 \n", - "\n", - " reply_to first_comment timestamp \n", - "708 NaN False 2013-10-05 12:42:00+00:00 \n", - "709 709.0 False 2013-10-09 01:10:33+00:00 \n", - "712 712.0 False 2013-10-08 21:24:11+00:00 \n", - "717 717.0 False 2013-10-07 17:47:04+00:00 \n", - "718 718.0 False 2013-10-07 10:48:42+00:00 \n", - "... ... ... ... \n", - "32172 NaN False 2012-12-05 20:16:00+00:00 \n", - "32178 32178.0 False 2013-02-07 03:03:48+00:00 \n", - "32179 32179.0 False 2012-12-08 00:35:21+00:00 \n", - "32180 NaN False 2012-11-17 06:42:00+00:00 \n", - "32181 32181.0 False 2013-02-16 00:44:33+00:00 \n", - "\n", - "[8804 rows x 15 columns]" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "comment_phab_df" - ] - }, - { - "cell_type": "code", - "execution_count": 17, + "execution_count": 5, "id": "d226d781-b002-4842-a3ae-92d4851a5878", "metadata": {}, "outputs": [], @@ -454,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "id": "3ae40d24-bbe8-49c3-a3a9-70bde1b4d559", "metadata": {}, "outputs": [ @@ -462,7 +110,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/3649688126.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/3649688126.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -477,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "id": "b8eddf40-1fe2-4fce-be74-b32552b40c57", "metadata": {}, "outputs": [ @@ -485,7 +133,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/1316816771.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/1316816771.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -500,21 +148,36 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "id": "a8469b16-4ae6-4b06-bf1b-1f2f6c736cab", "metadata": {}, "outputs": [], "source": [ "nlp = spacy.load(\"en_core_web_sm\")\n", "\n", - "def extract_dependency_tree(sentence):\n", - " doc = nlp(sentence)\n", - " return [(token.text, token.lemma_, token.dep_, token.head.text, token.ancestors, token.subtree, token.children) for token in doc]" + "def extract_dependency_tree(text):\n", + " doc = nlp(text)\n", + " dependency_trees = []\n", + " \n", + " for sentence in doc.sents:\n", + " for token in sentence:\n", + " token_info = (\n", + " token.text, \n", + " token.lemma_, \n", + " token.dep_, \n", + " token.head.text, \n", + " list(token.ancestors), \n", + " list(token.subtree), \n", + " list(token.children)\n", + " )\n", + " dependency_trees.append(token_info)\n", + " \n", + " return dependency_trees" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "id": "8b9a12f9-71bf-4bc9-bcfd-c73aab4be920", "metadata": {}, "outputs": [ @@ -522,7 +185,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/2805711855.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/2805711855.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -537,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "id": "337a528a-5667-4e1f-ac9a-37caabc03a18", "metadata": {}, "outputs": [ @@ -545,7 +208,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/2117289791.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/2117289791.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -560,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 20, "id": "a3f5d40b-f56e-4e31-a7f9-40b7ddb4d2a4", "metadata": {}, "outputs": [], @@ -596,520 +259,104 @@ " if vad_dict[lemma]['Domination'] >= 0.75:\n", " dominant_words += 1\n", " return dominant_words\n", + "\n", + "def arousal_prevail(dependency_tree):\n", + " arousal_words = 0 \n", + " for token, lemma, dep, head, ancestors, subtree, children in dependency_tree:\n", + " if lemma in vad_dict:\n", + " if vad_dict[lemma]['Arousal'] >= 0.75:\n", + " arousal_words += 1\n", + " return arousal_words\n", " " ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 21, "id": "828fb57a-e152-42ef-9c60-660648898532", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_32320/2150736954.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " comment_phab_df['avg_vad_scores'] = comment_phab_df['dependency_tree'].apply(vad_scoring)\n", + "/tmp/ipykernel_32320/2150736954.py:3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " comment_phab_df['dominant_wc'] = comment_phab_df['dependency_tree'].apply(dominance_prevail)\n", + "/tmp/ipykernel_32320/2150736954.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " comment_phab_df['arousal_wc'] = comment_phab_df['dependency_tree'].apply(arousal_prevail)\n" + ] + } + ], "source": [ "#establishing per-comment VAD scores \n", "comment_phab_df['avg_vad_scores'] = comment_phab_df['dependency_tree'].apply(vad_scoring)\n", - "comment_phab_df['dominant_wc'] = comment_phab_df['dependency_tree'].apply(dominance_prevail)" + "comment_phab_df['dominant_wc'] = comment_phab_df['dependency_tree'].apply(dominance_prevail)\n", + "comment_phab_df['arousal_wc'] = comment_phab_df['dependency_tree'].apply(arousal_prevail)" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 22, "id": "27e47f6f-0257-4b70-b222-e91ef888c900", "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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task_titlecomment_textdate_createdspeakermeta.affilconversation_idcomment_typestatustextresolved_text...first_commenttimestampprocessed_textprocessed_resolved_textdependency_treeresolved_dependency_treeaverage_v_scoreaverage_a_scoreaverage_d_scoredominant_wc
708VisualEditor: [Regression] \"More\" menu gets sh...Tested on both the Italian and the English Wik...1380976920PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_descriptionresolvedTested on both the Italian and the English Wik...Tested on both the Italian and the English Wik......False2013-10-05 12:42:00+00:00Tested on both the Italian and the English Wik...Tested on both the Italian and the English Wik...[(Tested, test, advcl, Reach, <generator objec...[(Tested, test, advcl, Reach, <generator objec...0.5753040.3979130.4759132
709VisualEditor: [Regression] \"More\" menu gets sh...Note that this is fixed and has been deployed ...1381281033PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNNote that this is fixed and has been deployed ...Note that this is fixed and has been deployed ......False2013-10-09 01:10:33+00:00Note that this is fixed and has been deployed ...Note that this is fixed and has been deployed ...[(Note, note, ROOT, Note, <generator object at...[(Note, note, ROOT, Note, <generator object at...0.6231000.4229000.5435000
712VisualEditor: [Regression] \"More\" menu gets sh...*** Bug 55362 has been marked as a duplicate o...1381267451PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN*** Bug 55362 has been marked as a duplicate o...*** Bug 55362 has been marked as a duplicate o......False2013-10-08 21:24:11+00:00Bug 55362 has been marked as a duplicate o...Bug 55362 has been marked as a duplicate o...[( , , dep, Bug, <generator object at 0...[( , , dep, Bug, <generator object at 0...0.5018330.3916670.4295000
717VisualEditor: [Regression] \"More\" menu gets sh...(In reply to comment #6)\\n> Krinkle, do I need...1381168024PHID-USER-sai77mtxmpqnm6pycyvzTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN(In reply to comment #6)\\n> Krinkle, do I need...(In reply to comment #6)\\n> Krinkle, do I need......False2013-10-07 17:47:04+00:00(In reply to comment #6)\\n> Krinkle, do I need...(In reply to comment #6)\\n> Krinkle, do I need...[((, (, punct, comment, <generator object at 0...[((, (, punct, comment, <generator object at 0...0.5694500.4056000.4376501
718VisualEditor: [Regression] \"More\" menu gets sh...Krinkle, do I need to file a different bug for...1381142922PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNKrinkle, do I need to file a different bug for...Krinkle, do Krinkle need to file a different b......False2013-10-07 10:48:42+00:00Krinkle, do I need to file a different bug for...Krinkle, do Krinkle need to file a different b...[(Krinkle, Krinkle, npadvmod, need, <generator...[(Krinkle, Krinkle, npadvmod, need, <generator...0.6145560.4324440.4376671
..................................................................
32172Setup wikibugs and gerrit-wm for #mediawiki-vi...Puppet config for wikibugs:\\n\\nhttps://gerrit....1354738560PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_descriptionresolvedPuppet config for wikibugs:\\n\\nhttps://gerrit....Puppet config for wikibugs:\\n\\nhttps://gerrit.......False2012-12-05 20:16:00+00:00Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf...Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf...[(Puppet, puppet, compound, config, <generator...[(Puppet, puppet, compound, config, <generator...0.5253330.4293330.4013330
32178Setup wikibugs and gerrit-wm for #mediawiki-vi...gerrit-wm is done, but wikibugs is \"an almight...1360206228PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNgerrit-wm is done, but wikibugs is \"an almight...gerrit-wm is done, but wikibugs is \"an almight......False2013-02-07 03:03:48+00:00gerrit wm is done, but wikibugs is \"an almight...gerrit wm is done, but wikibugs is \"an almight...[(gerrit, gerrit, compound, wm, <generator obj...[(gerrit, gerrit, compound, wm, <generator obj...0.5958180.5120910.5662733
32179Setup wikibugs and gerrit-wm for #mediawiki-vi...Attempted fixes in Gerrit 37566 and Gerrit 37570.1354926921PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNAttempted fixes in Gerrit 37566 and Gerrit 37570.Attempted fixes in Gerrit 37566 and Gerrit 37570....False2012-12-08 00:35:21+00:00Attempted fixes in Gerrit 37566 and Gerrit 37570.Attempted fixes in Gerrit 37566 and Gerrit 37570.[(Attempted, attempt, amod, fixes, <generator ...[(Attempted, attempt, amod, fixes, <generator ...0.6925000.5145000.4750000
32180VisualEditor: Two replacements within the same...Test case:\\n\\n+ 'removin...1353134520PHID-USER-fovtl67ew4l4cc3oeypcFalsePHID-TASK-guukovmsjsnlpphgujcvtask_descriptioninvalidTest case:\\n\\n+ 'removin...Test case:\\n\\n+ 'removin......False2012-11-17 06:42:00+00:00Test case:\\n\\n+ 'removin...Test case:\\n\\n+ 'removin...[(Test, test, compound, case, <generator objec...[(Test, test, compound, case, <generator objec...0.5675090.4485610.5350534
32181VisualEditor: Two replacements within the same...With bug 45061 all change marker code has been...1360975473PHID-USER-it53o2f2kyryqyj33uztFalsePHID-TASK-guukovmsjsnlpphgujcvtask_subcommentNaNWith bug 45061 all change marker code has been...With bug 45061 all change marker code has been......False2013-02-16 00:44:33+00:00With bug 45061 all change marker code has been...With bug 45061 all change marker code has been...[(With, with, prep, change, <generator object ...[(With, with, prep, change, <generator object ...0.5304290.4120000.5095710
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8804 rows × 23 columns

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" - ], - "text/plain": [ - " task_title \\\n", - "708 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "709 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "712 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "717 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "718 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "... ... \n", - "32172 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32178 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32179 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32180 VisualEditor: Two replacements within the same... \n", - "32181 VisualEditor: Two replacements within the same... \n", - "\n", - " comment_text date_created \\\n", - "708 Tested on both the Italian and the English Wik... 1380976920 \n", - "709 Note that this is fixed and has been deployed ... 1381281033 \n", - "712 *** Bug 55362 has been marked as a duplicate o... 1381267451 \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... 1381168024 \n", - "718 Krinkle, do I need to file a different bug for... 1381142922 \n", - "... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... 1354738560 \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... 1360206228 \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. 1354926921 \n", - "32180 Test case:\\n\\n+ 'removin... 1353134520 \n", - "32181 With bug 45061 all change marker code has been... 1360975473 \n", - "\n", - " speaker meta.affil \\\n", - "708 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "709 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "712 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "717 PHID-USER-sai77mtxmpqnm6pycyvz True \n", - "718 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "... ... ... \n", - "32172 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32178 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32179 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32180 PHID-USER-fovtl67ew4l4cc3oeypc False \n", - "32181 PHID-USER-it53o2f2kyryqyj33uzt False \n", - "\n", - " conversation_id comment_type status \\\n", - "708 PHID-TASK-64s56xzrc22ustp2z7wx task_description resolved \n", - "709 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "712 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "717 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "718 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "... ... ... ... \n", - "32172 PHID-TASK-ciosa56mnibqn4lx27ub task_description resolved \n", - "32178 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32179 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32180 PHID-TASK-guukovmsjsnlpphgujcv task_description invalid \n", - "32181 PHID-TASK-guukovmsjsnlpphgujcv task_subcomment NaN \n", - "\n", - " text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 *** Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do I need to file a different bug for... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " resolved_text ... first_comment \\\n", - "708 Tested on both the Italian and the English Wik... ... False \n", - "709 Note that this is fixed and has been deployed ... ... False \n", - "712 *** Bug 55362 has been marked as a duplicate o... ... False \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... ... False \n", - "718 Krinkle, do Krinkle need to file a different b... ... False \n", - "... ... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... ... False \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... ... False \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. ... False \n", - "32180 Test case:\\n\\n+ 'removin... ... False \n", - "32181 With bug 45061 all change marker code has been... ... False \n", - "\n", - " timestamp \\\n", - "708 2013-10-05 12:42:00+00:00 \n", - "709 2013-10-09 01:10:33+00:00 \n", - "712 2013-10-08 21:24:11+00:00 \n", - "717 2013-10-07 17:47:04+00:00 \n", - "718 2013-10-07 10:48:42+00:00 \n", - "... ... \n", - "32172 2012-12-05 20:16:00+00:00 \n", - "32178 2013-02-07 03:03:48+00:00 \n", - "32179 2012-12-08 00:35:21+00:00 \n", - "32180 2012-11-17 06:42:00+00:00 \n", - "32181 2013-02-16 00:44:33+00:00 \n", - "\n", - " processed_text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do I need to file a different bug for... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf... \n", - "32178 gerrit wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " processed_resolved_text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do Krinkle need to file a different b... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf... \n", - "32178 gerrit wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " dependency_tree \\\n", - "708 [(Tested, test, advcl, Reach, " ] @@ -1196,25 +443,29 @@ "source": [ "plt.figure(figsize=(10, 6))\n", "task_phab_df = phab_df[phab_df['comment_type']==\"task_description\"]\n", - "task_phab_df['first_comment'] = task_phab_df.groupby('speaker')['timestamp'].rank(method='first') == 1\n", + "task_phab_df['first_comment'] = task_phab_df.groupby('speaker')['timestamp'].rank(method='first') <= 5\n", "task_phab_df = task_phab_df[(task_phab_df['date_created'] < 1383264000) & (task_phab_df['date_created'] > 1351728000)]\n", "\n", "task_phab_df['week'] = task_phab_df['timestamp'].dt.to_period('W').dt.start_time\n", "unique_taskPHIDs = task_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", - "wmf_task_phab_df = task_phab_df[task_phab_df['meta.affil'] == True]\n", + "wmf_task_phab_df = task_phab_df[(task_phab_df['first_comment'] != True) & (task_phab_df['meta.affil'] == True)]\n", "wmf_tasks = wmf_task_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", - "other_task_phab_df = task_phab_df[task_phab_df['meta.affil'] != True]\n", + "other_task_phab_df = task_phab_df[(task_phab_df['first_comment'] != True) & (task_phab_df['meta.affil'] != True)]\n", "other_tasks = other_task_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", - "new_tasks_phab_df = task_phab_df[task_phab_df['first_comment'] == True]\n", - "new_tasks = new_tasks_phab_df.groupby('week')['conversation_id'].nunique()\n", + "unaff_new_tasks_phab_df = task_phab_df[(task_phab_df['first_comment'] == True) & (task_phab_df['meta.affil'] != True)]\n", + "unaff_new_tasks = unaff_new_tasks_phab_df.groupby('week')['conversation_id'].nunique()\n", + "\n", + "aff_new_tasks_phab_df = task_phab_df[(task_phab_df['first_comment'] == True) & (task_phab_df['meta.affil'] == True)]\n", + "aff_new_tasks = aff_new_tasks_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", "sns.lineplot(x=unique_taskPHIDs.index, y=unique_taskPHIDs.values, color='black', label='Total', marker='o')\n", - "sns.lineplot(x=wmf_tasks.index, y=wmf_tasks.values, color='#c7756a', label='WMF-affiliated authors', marker='o')\n", - "sns.lineplot(x=other_tasks.index, y=other_tasks.values, color='#5da2d8', label='Nonaffiliated authors', marker='o')\n", - "sns.lineplot(x=new_tasks.index, y=new_tasks.values, color=\"green\", label=\"first-timers\", marker='o')\n", + "sns.lineplot(x=wmf_tasks.index, y=wmf_tasks.values, color='#c7756a', label='WMF-affiliated returning authors', marker='o')\n", + "sns.lineplot(x=other_tasks.index, y=other_tasks.values, color='#5da2d8', label='Nonaffiliated returning authors', marker='o')\n", + "sns.lineplot(x=aff_new_tasks.index, y=aff_new_tasks.values, color='#c7756a',linestyle=\"dotted\", label=\"WMF-affiliated new authors\", marker='x')\n", + "sns.lineplot(x=unaff_new_tasks.index, y=unaff_new_tasks.values, color='#5da2d8', linestyle=\"dotted\", label=\"Nonaffiliated new authors\", marker='x')\n", "\n", "plt.title('New Phabricator Tasks Indexed with \"VisualEditor\"')\n", "plt.xlabel('Timestamp')\n", @@ -1227,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 61, "id": "b7cfad77-d48a-4708-91f3-89ae1179b90c", "metadata": {}, "outputs": [ @@ -1242,9 +493,19 @@ }, { "data": { - "image/png": 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", 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", 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", + "text/plain": [ + "
" ] }, "metadata": {}, @@ -1255,14 +516,26 @@ "comment_phab_df['before_after'] = comment_phab_df['timestamp'] > pd.Timestamp('2013-07-01 00:00:01+00:00')\n", "plt.figure(figsize=(10, 6))\n", "\n", - "sns.lmplot(data=comment_phab_df, x=\"date_created\", y=\"dominant_wc\", hue=\"before_after\", col=\"meta.affil\", scatter=False)\n", + "# Plot for dominant_wc\n", + "plot1 = sns.lmplot(data=comment_phab_df, x=\"date_created\", y=\"dominant_wc\", hue=\"before_after\", col=\"meta.affil\", scatter=False, legend=False)\n", + "plot1.set_axis_labels(\"Timestamp\", \"Dominant Word Count\")\n", + "plot1.set_titles(col_template=\"WMF Affiliation: {col_name}\")\n", + "plot1.fig.subplots_adjust(top=0.9) # Adjust subplots to make room for the title\n", + "#plot1.add_legend(title=\"Before/After 07/01/2013 Wide Release\")\n", + "plt.legend(title=\"Before/After 07/01/2013 Wide Release\", loc='upper center', bbox_to_anchor=(0, 1.25), ncol=2)\n", + "# Plot for arousal_wc\n", + "plot2 = sns.lmplot(data=comment_phab_df, x=\"date_created\", y=\"arousal_wc\", hue=\"before_after\", col=\"meta.affil\", scatter=False, legend=False)\n", + "plot2.set_axis_labels(\"Timestamp\", \"Arousal Word Count\")\n", + "plot2.set_titles(\"\")\n", + "#plot2.add_legend(title=\"Before/After 07/01/2013 Wide Release\")\n", "\n", + "# Show plots\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 73, "id": "d2d67d38-f005-4c94-be3c-39eb6b22686f", "metadata": {}, "outputs": [ @@ -1270,49 +543,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/3455565877.py:2: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "/tmp/ipykernel_32320/2790841981.py:4: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", " filtered_dependencies = dependency_relations_df[dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", - "/tmp/ipykernel_49967/3455565877.py:3: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "/tmp/ipykernel_32320/2790841981.py:5: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", " resolved_filtered_dependencies = resolved_dependency_relations_df[resolved_dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", - "/tmp/ipykernel_49967/3455565877.py:18: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", + "/tmp/ipykernel_32320/2790841981.py:20: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", " filtered_dependencies['week'] = filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:18: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/2790841981.py:20: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " filtered_dependencies['week'] = filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:37: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", + "/tmp/ipykernel_32320/2790841981.py:39: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", " resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:37: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/2790841981.py:39: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:40: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", - " resolved_wmf_filtered_dependencies = resolved_filtered_dependencies[filtered_dependencies['wmfAffil'] == True]\n" - ] - }, - { - "ename": "IndexingError", - "evalue": "Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mIndexingError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[53], line 40\u001b[0m\n\u001b[1;32m 37\u001b[0m resolved_filtered_dependencies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mweek\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m resolved_filtered_dependencies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtimestamp\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mdt\u001b[38;5;241m.\u001b[39mto_period(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mW\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mdt\u001b[38;5;241m.\u001b[39mstart_time\n\u001b[1;32m 38\u001b[0m resolved_median_depth \u001b[38;5;241m=\u001b[39m resolved_filtered_dependencies\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mweek\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdepth\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mmedian()\u001b[38;5;241m.\u001b[39mreset_index()\n\u001b[0;32m---> 40\u001b[0m resolved_wmf_filtered_dependencies \u001b[38;5;241m=\u001b[39m \u001b[43mresolved_filtered_dependencies\u001b[49m\u001b[43m[\u001b[49m\u001b[43mfiltered_dependencies\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mwmfAffil\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m]\u001b[49m\n\u001b[1;32m 41\u001b[0m resolved_wmf_median_depth \u001b[38;5;241m=\u001b[39m resolved_wmf_filtered_dependencies\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mweek\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdepth\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mmedian()\u001b[38;5;241m.\u001b[39mreset_index()\n\u001b[1;32m 43\u001b[0m resolved_other_filtered_dependencies \u001b[38;5;241m=\u001b[39m resolved_filtered_dependencies[filtered_dependencies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwmfAffil\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m]\n", - "File \u001b[0;32m/gscratch/scrubbed/mjilg/jupyter-notebook/lib/python3.9/site-packages/pandas/core/frame.py:4093\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4091\u001b[0m \u001b[38;5;66;03m# Do we have a (boolean) 1d indexer?\u001b[39;00m\n\u001b[1;32m 4092\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m com\u001b[38;5;241m.\u001b[39mis_bool_indexer(key):\n\u001b[0;32m-> 4093\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_bool_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4095\u001b[0m \u001b[38;5;66;03m# We are left with two options: a single key, and a collection of keys,\u001b[39;00m\n\u001b[1;32m 4096\u001b[0m \u001b[38;5;66;03m# We interpret tuples as collections only for non-MultiIndex\u001b[39;00m\n\u001b[1;32m 4097\u001b[0m is_single_key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28misinstance\u001b[39m(key, \u001b[38;5;28mtuple\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_list_like(key)\n", - "File \u001b[0;32m/gscratch/scrubbed/mjilg/jupyter-notebook/lib/python3.9/site-packages/pandas/core/frame.py:4149\u001b[0m, in \u001b[0;36mDataFrame._getitem_bool_array\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 4144\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mItem wrong length \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(key)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m instead of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindex)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 4145\u001b[0m )\n\u001b[1;32m 4147\u001b[0m \u001b[38;5;66;03m# check_bool_indexer will throw exception if Series key cannot\u001b[39;00m\n\u001b[1;32m 4148\u001b[0m \u001b[38;5;66;03m# be reindexed to match DataFrame rows\u001b[39;00m\n\u001b[0;32m-> 4149\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_bool_indexer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4151\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key\u001b[38;5;241m.\u001b[39mall():\n\u001b[1;32m 4152\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcopy(deep\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m)\n", - "File \u001b[0;32m/gscratch/scrubbed/mjilg/jupyter-notebook/lib/python3.9/site-packages/pandas/core/indexing.py:2662\u001b[0m, in \u001b[0;36mcheck_bool_indexer\u001b[0;34m(index, key)\u001b[0m\n\u001b[1;32m 2660\u001b[0m indexer \u001b[38;5;241m=\u001b[39m result\u001b[38;5;241m.\u001b[39mindex\u001b[38;5;241m.\u001b[39mget_indexer_for(index)\n\u001b[1;32m 2661\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01min\u001b[39;00m indexer:\n\u001b[0;32m-> 2662\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m IndexingError(\n\u001b[1;32m 2663\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnalignable boolean Series provided as \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2664\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindexer (index of the boolean Series and of \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2665\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mthe indexed object do not match).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2666\u001b[0m )\n\u001b[1;32m 2668\u001b[0m result \u001b[38;5;241m=\u001b[39m result\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[1;32m 2670\u001b[0m \u001b[38;5;66;03m# fall through for boolean\u001b[39;00m\n", - "\u001b[0;31mIndexingError\u001b[0m: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match)." + " resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n" ] }, { "data": { - "image/png": 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", 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" ] }, "metadata": {}, @@ -1320,7 +577,9 @@ } ], "source": [ - "pattern = r'\\b(ve|VE|visualeditor|VisualEditor)\\b'\n", + "#pattern = r'\\b(ve|VE|visualeditor|VisualEditor)\\b'\n", + "#pattern = r'\\b(WMF|Foundation)\\b'\n", + "#pattern = r'\\b(bots)\\b'\n", "filtered_dependencies = dependency_relations_df[dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", "resolved_filtered_dependencies = resolved_dependency_relations_df[resolved_dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", "\n", @@ -1351,7 +610,7 @@ "sns.lineplot(data=median_depth, x='week', y='depth', ax=ax0, color='black', label='Median Depth', marker='o')\n", "sns.lineplot(data=wmf_median_depth, x='week', y='depth', ax=ax0, color='#c7756a', label='WMF-affiliated authors', marker='x')\n", "sns.lineplot(data=other_median_depth, x='week', y='depth', ax=ax0, color='#5da2d8', label='Nonaffiliated authors', marker='x')\n", - "ax0.set_title('Median Depth of VE in Phabricator Sentence Dependency Trees')\n", + "ax0.set_title('Median Depth of \"WMF\" in Phabricator Sentence Dependency Trees')\n", "ax0.set_ylabel('Median Depth')\n", "ax0.set_xlabel('')\n", "\n", @@ -1359,10 +618,10 @@ "resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", "resolved_median_depth = resolved_filtered_dependencies.groupby('week')['depth'].median().reset_index()\n", "\n", - "resolved_wmf_filtered_dependencies = resolved_filtered_dependencies[filtered_dependencies['wmfAffil'] == True]\n", + "resolved_wmf_filtered_dependencies = resolved_filtered_dependencies[resolved_filtered_dependencies['wmfAffil'] == True]\n", "resolved_wmf_median_depth = resolved_wmf_filtered_dependencies.groupby('week')['depth'].median().reset_index()\n", "\n", - "resolved_other_filtered_dependencies = resolved_filtered_dependencies[filtered_dependencies['wmfAffil'] != True]\n", + "resolved_other_filtered_dependencies = resolved_filtered_dependencies[resolved_filtered_dependencies['wmfAffil'] != True]\n", "resolved_other_median_depth = resolved_other_filtered_dependencies.groupby('week')['depth'].median().reset_index()\n", "\n", "# Plot the median depth over time\n", @@ -1370,7 +629,7 @@ "sns.lineplot(data=resolved_median_depth, x='week', y='depth', ax=ax1, color='black', label='Median Depth', marker='o')\n", "sns.lineplot(data=resolved_wmf_median_depth, x='week', y='depth', ax=ax1, color='#c7756a', label='WMF-affiliated authors', marker='x')\n", "sns.lineplot(data=resolved_other_median_depth, x='week', y='depth', ax=ax1, color='#5da2d8', label='Nonaffiliated authors', marker='x')\n", - "ax1.set_title('Median Depth of VE in Coreference-resolved Phabricator Sentence Dependency Trees')\n", + "ax1.set_title('Median Depth of \"WMF\" in Coreference-resolved Phabricator Sentence Dependency Trees')\n", "ax1.set_ylabel('Median Depth')\n", "ax1.set_xlabel('')\n", "\n", diff --git a/text_analysis/case1/031025_phab_comments.ipynb b/text_analysis/case1/031025_phab_comments.ipynb index 3921b35..b227ac3 100644 --- a/text_analysis/case1/031025_phab_comments.ipynb +++ b/text_analysis/case1/031025_phab_comments.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 2, "id": "e4f0b3f0-5255-46f1-822f-e455087ba315", "metadata": {}, "outputs": [], @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "id": "d449164e-1d28-4580-9eb1-f0f69978f114", "metadata": {}, "outputs": [], @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, "id": "942344db-c8f5-4ed6-a757-c97f8454f18b", "metadata": {}, "outputs": [ @@ -85,359 +85,7 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "c0aade6b-f425-4f9b-ae2a-721ea49712ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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task_titlecomment_textdate_createdspeakermeta.affilconversation_idcomment_typestatustextresolved_textmeta.gerritidreply_tofirst_commenttimestamp
708VisualEditor: [Regression] \"More\" menu gets sh...Tested on both the Italian and the English Wik...1380976920PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_descriptionresolvedTested on both the Italian and the English Wik...Tested on both the Italian and the English Wik...False709NaNFalse2013-10-05 12:42:00+00:00
709VisualEditor: [Regression] \"More\" menu gets sh...Note that this is fixed and has been deployed ...1381281033PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNNote that this is fixed and has been deployed ...Note that this is fixed and has been deployed ...False710709.0False2013-10-09 01:10:33+00:00
712VisualEditor: [Regression] \"More\" menu gets sh...*** Bug 55362 has been marked as a duplicate o...1381267451PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN*** Bug 55362 has been marked as a duplicate o...*** Bug 55362 has been marked as a duplicate o...False713712.0False2013-10-08 21:24:11+00:00
717VisualEditor: [Regression] \"More\" menu gets sh...(In reply to comment #6)\\n> Krinkle, do I need...1381168024PHID-USER-sai77mtxmpqnm6pycyvzTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN(In reply to comment #6)\\n> Krinkle, do I need...(In reply to comment #6)\\n> Krinkle, do I need...False718717.0False2013-10-07 17:47:04+00:00
718VisualEditor: [Regression] \"More\" menu gets sh...Krinkle, do I need to file a different bug for...1381142922PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNKrinkle, do I need to file a different bug for...Krinkle, do Krinkle need to file a different b...False719718.0False2013-10-07 10:48:42+00:00
................................................
32172Setup wikibugs and gerrit-wm for #mediawiki-vi...Puppet config for wikibugs:\\n\\nhttps://gerrit....1354738560PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_descriptionresolvedPuppet config for wikibugs:\\n\\nhttps://gerrit....Puppet config for wikibugs:\\n\\nhttps://gerrit....False32173NaNFalse2012-12-05 20:16:00+00:00
32178Setup wikibugs and gerrit-wm for #mediawiki-vi...gerrit-wm is done, but wikibugs is \"an almight...1360206228PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNgerrit-wm is done, but wikibugs is \"an almight...gerrit-wm is done, but wikibugs is \"an almight...False3217932178.0False2013-02-07 03:03:48+00:00
32179Setup wikibugs and gerrit-wm for #mediawiki-vi...Attempted fixes in Gerrit 37566 and Gerrit 37570.1354926921PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNAttempted fixes in Gerrit 37566 and Gerrit 37570.Attempted fixes in Gerrit 37566 and Gerrit 37570.False3218032179.0False2012-12-08 00:35:21+00:00
32180VisualEditor: Two replacements within the same...Test case:\\n\\n+ 'removin...1353134520PHID-USER-fovtl67ew4l4cc3oeypcFalsePHID-TASK-guukovmsjsnlpphgujcvtask_descriptioninvalidTest case:\\n\\n+ 'removin...Test case:\\n\\n+ 'removin...False32181NaNFalse2012-11-17 06:42:00+00:00
32181VisualEditor: Two replacements within the same...With bug 45061 all change marker code has been...1360975473PHID-USER-it53o2f2kyryqyj33uztFalsePHID-TASK-guukovmsjsnlpphgujcvtask_subcommentNaNWith bug 45061 all change marker code has been...With bug 45061 all change marker code has been...False3218232181.0False2013-02-16 00:44:33+00:00
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" - ], - "text/plain": [ - " task_title \\\n", - "708 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "709 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "712 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "717 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "718 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "... ... \n", - "32172 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32178 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32179 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32180 VisualEditor: Two replacements within the same... \n", - "32181 VisualEditor: Two replacements within the same... \n", - "\n", - " comment_text date_created \\\n", - "708 Tested on both the Italian and the English Wik... 1380976920 \n", - "709 Note that this is fixed and has been deployed ... 1381281033 \n", - "712 *** Bug 55362 has been marked as a duplicate o... 1381267451 \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... 1381168024 \n", - "718 Krinkle, do I need to file a different bug for... 1381142922 \n", - "... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... 1354738560 \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... 1360206228 \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. 1354926921 \n", - "32180 Test case:\\n\\n+ 'removin... 1353134520 \n", - "32181 With bug 45061 all change marker code has been... 1360975473 \n", - "\n", - " speaker meta.affil \\\n", - "708 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "709 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "712 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "717 PHID-USER-sai77mtxmpqnm6pycyvz True \n", - "718 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "... ... ... \n", - "32172 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32178 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32179 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32180 PHID-USER-fovtl67ew4l4cc3oeypc False \n", - "32181 PHID-USER-it53o2f2kyryqyj33uzt False \n", - "\n", - " conversation_id comment_type status \\\n", - "708 PHID-TASK-64s56xzrc22ustp2z7wx task_description resolved \n", - "709 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "712 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "717 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "718 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "... ... ... ... \n", - "32172 PHID-TASK-ciosa56mnibqn4lx27ub task_description resolved \n", - "32178 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32179 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32180 PHID-TASK-guukovmsjsnlpphgujcv task_description invalid \n", - "32181 PHID-TASK-guukovmsjsnlpphgujcv task_subcomment NaN \n", - "\n", - " text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 *** Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do I need to file a different bug for... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " resolved_text meta.gerrit id \\\n", - "708 Tested on both the Italian and the English Wik... False 709 \n", - "709 Note that this is fixed and has been deployed ... False 710 \n", - "712 *** Bug 55362 has been marked as a duplicate o... False 713 \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... False 718 \n", - "718 Krinkle, do Krinkle need to file a different b... False 719 \n", - "... ... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... False 32173 \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... False 32179 \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. False 32180 \n", - "32180 Test case:\\n\\n+ 'removin... False 32181 \n", - "32181 With bug 45061 all change marker code has been... False 32182 \n", - "\n", - " reply_to first_comment timestamp \n", - "708 NaN False 2013-10-05 12:42:00+00:00 \n", - "709 709.0 False 2013-10-09 01:10:33+00:00 \n", - "712 712.0 False 2013-10-08 21:24:11+00:00 \n", - "717 717.0 False 2013-10-07 17:47:04+00:00 \n", - "718 718.0 False 2013-10-07 10:48:42+00:00 \n", - "... ... ... ... \n", - "32172 NaN False 2012-12-05 20:16:00+00:00 \n", - "32178 32178.0 False 2013-02-07 03:03:48+00:00 \n", - "32179 32179.0 False 2012-12-08 00:35:21+00:00 \n", - "32180 NaN False 2012-11-17 06:42:00+00:00 \n", - "32181 32181.0 False 2013-02-16 00:44:33+00:00 \n", - "\n", - "[8804 rows x 15 columns]" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "comment_phab_df" - ] - }, - { - "cell_type": "code", - "execution_count": 17, + "execution_count": 5, "id": "d226d781-b002-4842-a3ae-92d4851a5878", "metadata": {}, "outputs": [], @@ -454,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "id": "3ae40d24-bbe8-49c3-a3a9-70bde1b4d559", "metadata": {}, "outputs": [ @@ -462,7 +110,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/3649688126.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/3649688126.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -477,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "id": "b8eddf40-1fe2-4fce-be74-b32552b40c57", "metadata": {}, "outputs": [ @@ -485,7 +133,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/1316816771.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/1316816771.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -500,21 +148,36 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "id": "a8469b16-4ae6-4b06-bf1b-1f2f6c736cab", "metadata": {}, "outputs": [], "source": [ "nlp = spacy.load(\"en_core_web_sm\")\n", "\n", - "def extract_dependency_tree(sentence):\n", - " doc = nlp(sentence)\n", - " return [(token.text, token.lemma_, token.dep_, token.head.text, token.ancestors, token.subtree, token.children) for token in doc]" + "def extract_dependency_tree(text):\n", + " doc = nlp(text)\n", + " dependency_trees = []\n", + " \n", + " for sentence in doc.sents:\n", + " for token in sentence:\n", + " token_info = (\n", + " token.text, \n", + " token.lemma_, \n", + " token.dep_, \n", + " token.head.text, \n", + " list(token.ancestors), \n", + " list(token.subtree), \n", + " list(token.children)\n", + " )\n", + " dependency_trees.append(token_info)\n", + " \n", + " return dependency_trees" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "id": "8b9a12f9-71bf-4bc9-bcfd-c73aab4be920", "metadata": {}, "outputs": [ @@ -522,7 +185,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/2805711855.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/2805711855.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -537,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "id": "337a528a-5667-4e1f-ac9a-37caabc03a18", "metadata": {}, "outputs": [ @@ -545,7 +208,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/2117289791.py:1: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/2117289791.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -560,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 20, "id": "a3f5d40b-f56e-4e31-a7f9-40b7ddb4d2a4", "metadata": {}, "outputs": [], @@ -596,520 +259,104 @@ " if vad_dict[lemma]['Domination'] >= 0.75:\n", " dominant_words += 1\n", " return dominant_words\n", + "\n", + "def arousal_prevail(dependency_tree):\n", + " arousal_words = 0 \n", + " for token, lemma, dep, head, ancestors, subtree, children in dependency_tree:\n", + " if lemma in vad_dict:\n", + " if vad_dict[lemma]['Arousal'] >= 0.75:\n", + " arousal_words += 1\n", + " return arousal_words\n", " " ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 21, "id": "828fb57a-e152-42ef-9c60-660648898532", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_32320/2150736954.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " comment_phab_df['avg_vad_scores'] = comment_phab_df['dependency_tree'].apply(vad_scoring)\n", + "/tmp/ipykernel_32320/2150736954.py:3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " comment_phab_df['dominant_wc'] = comment_phab_df['dependency_tree'].apply(dominance_prevail)\n", + "/tmp/ipykernel_32320/2150736954.py:4: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " comment_phab_df['arousal_wc'] = comment_phab_df['dependency_tree'].apply(arousal_prevail)\n" + ] + } + ], "source": [ "#establishing per-comment VAD scores \n", "comment_phab_df['avg_vad_scores'] = comment_phab_df['dependency_tree'].apply(vad_scoring)\n", - "comment_phab_df['dominant_wc'] = comment_phab_df['dependency_tree'].apply(dominance_prevail)" + "comment_phab_df['dominant_wc'] = comment_phab_df['dependency_tree'].apply(dominance_prevail)\n", + "comment_phab_df['arousal_wc'] = comment_phab_df['dependency_tree'].apply(arousal_prevail)" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 22, "id": "27e47f6f-0257-4b70-b222-e91ef888c900", "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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task_titlecomment_textdate_createdspeakermeta.affilconversation_idcomment_typestatustextresolved_text...first_commenttimestampprocessed_textprocessed_resolved_textdependency_treeresolved_dependency_treeaverage_v_scoreaverage_a_scoreaverage_d_scoredominant_wc
708VisualEditor: [Regression] \"More\" menu gets sh...Tested on both the Italian and the English Wik...1380976920PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_descriptionresolvedTested on both the Italian and the English Wik...Tested on both the Italian and the English Wik......False2013-10-05 12:42:00+00:00Tested on both the Italian and the English Wik...Tested on both the Italian and the English Wik...[(Tested, test, advcl, Reach, <generator objec...[(Tested, test, advcl, Reach, <generator objec...0.5753040.3979130.4759132
709VisualEditor: [Regression] \"More\" menu gets sh...Note that this is fixed and has been deployed ...1381281033PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNNote that this is fixed and has been deployed ...Note that this is fixed and has been deployed ......False2013-10-09 01:10:33+00:00Note that this is fixed and has been deployed ...Note that this is fixed and has been deployed ...[(Note, note, ROOT, Note, <generator object at...[(Note, note, ROOT, Note, <generator object at...0.6231000.4229000.5435000
712VisualEditor: [Regression] \"More\" menu gets sh...*** Bug 55362 has been marked as a duplicate o...1381267451PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN*** Bug 55362 has been marked as a duplicate o...*** Bug 55362 has been marked as a duplicate o......False2013-10-08 21:24:11+00:00Bug 55362 has been marked as a duplicate o...Bug 55362 has been marked as a duplicate o...[( , , dep, Bug, <generator object at 0...[( , , dep, Bug, <generator object at 0...0.5018330.3916670.4295000
717VisualEditor: [Regression] \"More\" menu gets sh...(In reply to comment #6)\\n> Krinkle, do I need...1381168024PHID-USER-sai77mtxmpqnm6pycyvzTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaN(In reply to comment #6)\\n> Krinkle, do I need...(In reply to comment #6)\\n> Krinkle, do I need......False2013-10-07 17:47:04+00:00(In reply to comment #6)\\n> Krinkle, do I need...(In reply to comment #6)\\n> Krinkle, do I need...[((, (, punct, comment, <generator object at 0...[((, (, punct, comment, <generator object at 0...0.5694500.4056000.4376501
718VisualEditor: [Regression] \"More\" menu gets sh...Krinkle, do I need to file a different bug for...1381142922PHID-USER-wil4b5lylrvf3krixlklTruePHID-TASK-64s56xzrc22ustp2z7wxtask_subcommentNaNKrinkle, do I need to file a different bug for...Krinkle, do Krinkle need to file a different b......False2013-10-07 10:48:42+00:00Krinkle, do I need to file a different bug for...Krinkle, do Krinkle need to file a different b...[(Krinkle, Krinkle, npadvmod, need, <generator...[(Krinkle, Krinkle, npadvmod, need, <generator...0.6145560.4324440.4376671
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32172Setup wikibugs and gerrit-wm for #mediawiki-vi...Puppet config for wikibugs:\\n\\nhttps://gerrit....1354738560PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_descriptionresolvedPuppet config for wikibugs:\\n\\nhttps://gerrit....Puppet config for wikibugs:\\n\\nhttps://gerrit.......False2012-12-05 20:16:00+00:00Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf...Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf...[(Puppet, puppet, compound, config, <generator...[(Puppet, puppet, compound, config, <generator...0.5253330.4293330.4013330
32178Setup wikibugs and gerrit-wm for #mediawiki-vi...gerrit-wm is done, but wikibugs is \"an almight...1360206228PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNgerrit-wm is done, but wikibugs is \"an almight...gerrit-wm is done, but wikibugs is \"an almight......False2013-02-07 03:03:48+00:00gerrit wm is done, but wikibugs is \"an almight...gerrit wm is done, but wikibugs is \"an almight...[(gerrit, gerrit, compound, wm, <generator obj...[(gerrit, gerrit, compound, wm, <generator obj...0.5958180.5120910.5662733
32179Setup wikibugs and gerrit-wm for #mediawiki-vi...Attempted fixes in Gerrit 37566 and Gerrit 37570.1354926921PHID-USER-ydswvwhh5pm4lshahjjeTruePHID-TASK-ciosa56mnibqn4lx27ubtask_subcommentNaNAttempted fixes in Gerrit 37566 and Gerrit 37570.Attempted fixes in Gerrit 37566 and Gerrit 37570....False2012-12-08 00:35:21+00:00Attempted fixes in Gerrit 37566 and Gerrit 37570.Attempted fixes in Gerrit 37566 and Gerrit 37570.[(Attempted, attempt, amod, fixes, <generator ...[(Attempted, attempt, amod, fixes, <generator ...0.6925000.5145000.4750000
32180VisualEditor: Two replacements within the same...Test case:\\n\\n+ 'removin...1353134520PHID-USER-fovtl67ew4l4cc3oeypcFalsePHID-TASK-guukovmsjsnlpphgujcvtask_descriptioninvalidTest case:\\n\\n+ 'removin...Test case:\\n\\n+ 'removin......False2012-11-17 06:42:00+00:00Test case:\\n\\n+ 'removin...Test case:\\n\\n+ 'removin...[(Test, test, compound, case, <generator objec...[(Test, test, compound, case, <generator objec...0.5675090.4485610.5350534
32181VisualEditor: Two replacements within the same...With bug 45061 all change marker code has been...1360975473PHID-USER-it53o2f2kyryqyj33uztFalsePHID-TASK-guukovmsjsnlpphgujcvtask_subcommentNaNWith bug 45061 all change marker code has been...With bug 45061 all change marker code has been......False2013-02-16 00:44:33+00:00With bug 45061 all change marker code has been...With bug 45061 all change marker code has been...[(With, with, prep, change, <generator object ...[(With, with, prep, change, <generator object ...0.5304290.4120000.5095710
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8804 rows × 23 columns

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" - ], - "text/plain": [ - " task_title \\\n", - "708 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "709 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "712 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "717 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "718 VisualEditor: [Regression] \"More\" menu gets sh... \n", - "... ... \n", - "32172 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32178 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32179 Setup wikibugs and gerrit-wm for #mediawiki-vi... \n", - "32180 VisualEditor: Two replacements within the same... \n", - "32181 VisualEditor: Two replacements within the same... \n", - "\n", - " comment_text date_created \\\n", - "708 Tested on both the Italian and the English Wik... 1380976920 \n", - "709 Note that this is fixed and has been deployed ... 1381281033 \n", - "712 *** Bug 55362 has been marked as a duplicate o... 1381267451 \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... 1381168024 \n", - "718 Krinkle, do I need to file a different bug for... 1381142922 \n", - "... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... 1354738560 \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... 1360206228 \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. 1354926921 \n", - "32180 Test case:\\n\\n+ 'removin... 1353134520 \n", - "32181 With bug 45061 all change marker code has been... 1360975473 \n", - "\n", - " speaker meta.affil \\\n", - "708 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "709 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "712 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "717 PHID-USER-sai77mtxmpqnm6pycyvz True \n", - "718 PHID-USER-wil4b5lylrvf3krixlkl True \n", - "... ... ... \n", - "32172 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32178 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32179 PHID-USER-ydswvwhh5pm4lshahjje True \n", - "32180 PHID-USER-fovtl67ew4l4cc3oeypc False \n", - "32181 PHID-USER-it53o2f2kyryqyj33uzt False \n", - "\n", - " conversation_id comment_type status \\\n", - "708 PHID-TASK-64s56xzrc22ustp2z7wx task_description resolved \n", - "709 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "712 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "717 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "718 PHID-TASK-64s56xzrc22ustp2z7wx task_subcomment NaN \n", - "... ... ... ... \n", - "32172 PHID-TASK-ciosa56mnibqn4lx27ub task_description resolved \n", - "32178 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32179 PHID-TASK-ciosa56mnibqn4lx27ub task_subcomment NaN \n", - "32180 PHID-TASK-guukovmsjsnlpphgujcv task_description invalid \n", - "32181 PHID-TASK-guukovmsjsnlpphgujcv task_subcomment NaN \n", - "\n", - " text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 *** Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do I need to file a different bug for... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " resolved_text ... first_comment \\\n", - "708 Tested on both the Italian and the English Wik... ... False \n", - "709 Note that this is fixed and has been deployed ... ... False \n", - "712 *** Bug 55362 has been marked as a duplicate o... ... False \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... ... False \n", - "718 Krinkle, do Krinkle need to file a different b... ... False \n", - "... ... ... ... \n", - "32172 Puppet config for wikibugs:\\n\\nhttps://gerrit.... ... False \n", - "32178 gerrit-wm is done, but wikibugs is \"an almight... ... False \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. ... False \n", - "32180 Test case:\\n\\n+ 'removin... ... False \n", - "32181 With bug 45061 all change marker code has been... ... False \n", - "\n", - " timestamp \\\n", - "708 2013-10-05 12:42:00+00:00 \n", - "709 2013-10-09 01:10:33+00:00 \n", - "712 2013-10-08 21:24:11+00:00 \n", - "717 2013-10-07 17:47:04+00:00 \n", - "718 2013-10-07 10:48:42+00:00 \n", - "... ... \n", - "32172 2012-12-05 20:16:00+00:00 \n", - "32178 2013-02-07 03:03:48+00:00 \n", - "32179 2012-12-08 00:35:21+00:00 \n", - "32180 2012-11-17 06:42:00+00:00 \n", - "32181 2013-02-16 00:44:33+00:00 \n", - "\n", - " processed_text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do I need to file a different bug for... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf... \n", - "32178 gerrit wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " processed_resolved_text \\\n", - "708 Tested on both the Italian and the English Wik... \n", - "709 Note that this is fixed and has been deployed ... \n", - "712 Bug 55362 has been marked as a duplicate o... \n", - "717 (In reply to comment #6)\\n> Krinkle, do I need... \n", - "718 Krinkle, do Krinkle need to file a different b... \n", - "... ... \n", - "32172 Puppet config for wikibugs:\\n\\n\\n\\nPuppet conf... \n", - "32178 gerrit wm is done, but wikibugs is \"an almight... \n", - "32179 Attempted fixes in Gerrit 37566 and Gerrit 37570. \n", - "32180 Test case:\\n\\n+ 'removin... \n", - "32181 With bug 45061 all change marker code has been... \n", - "\n", - " dependency_tree \\\n", - "708 [(Tested, test, advcl, Reach, " ] @@ -1196,25 +443,29 @@ "source": [ "plt.figure(figsize=(10, 6))\n", "task_phab_df = phab_df[phab_df['comment_type']==\"task_description\"]\n", - "task_phab_df['first_comment'] = task_phab_df.groupby('speaker')['timestamp'].rank(method='first') == 1\n", + "task_phab_df['first_comment'] = task_phab_df.groupby('speaker')['timestamp'].rank(method='first') <= 5\n", "task_phab_df = task_phab_df[(task_phab_df['date_created'] < 1383264000) & (task_phab_df['date_created'] > 1351728000)]\n", "\n", "task_phab_df['week'] = task_phab_df['timestamp'].dt.to_period('W').dt.start_time\n", "unique_taskPHIDs = task_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", - "wmf_task_phab_df = task_phab_df[task_phab_df['meta.affil'] == True]\n", + "wmf_task_phab_df = task_phab_df[(task_phab_df['first_comment'] != True) & (task_phab_df['meta.affil'] == True)]\n", "wmf_tasks = wmf_task_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", - "other_task_phab_df = task_phab_df[task_phab_df['meta.affil'] != True]\n", + "other_task_phab_df = task_phab_df[(task_phab_df['first_comment'] != True) & (task_phab_df['meta.affil'] != True)]\n", "other_tasks = other_task_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", - "new_tasks_phab_df = task_phab_df[task_phab_df['first_comment'] == True]\n", - "new_tasks = new_tasks_phab_df.groupby('week')['conversation_id'].nunique()\n", + "unaff_new_tasks_phab_df = task_phab_df[(task_phab_df['first_comment'] == True) & (task_phab_df['meta.affil'] != True)]\n", + "unaff_new_tasks = unaff_new_tasks_phab_df.groupby('week')['conversation_id'].nunique()\n", + "\n", + "aff_new_tasks_phab_df = task_phab_df[(task_phab_df['first_comment'] == True) & (task_phab_df['meta.affil'] == True)]\n", + "aff_new_tasks = aff_new_tasks_phab_df.groupby('week')['conversation_id'].nunique()\n", "\n", "sns.lineplot(x=unique_taskPHIDs.index, y=unique_taskPHIDs.values, color='black', label='Total', marker='o')\n", - "sns.lineplot(x=wmf_tasks.index, y=wmf_tasks.values, color='#c7756a', label='WMF-affiliated authors', marker='o')\n", - "sns.lineplot(x=other_tasks.index, y=other_tasks.values, color='#5da2d8', label='Nonaffiliated authors', marker='o')\n", - "sns.lineplot(x=new_tasks.index, y=new_tasks.values, color=\"green\", label=\"first-timers\", marker='o')\n", + "sns.lineplot(x=wmf_tasks.index, y=wmf_tasks.values, color='#c7756a', label='WMF-affiliated returning authors', marker='o')\n", + "sns.lineplot(x=other_tasks.index, y=other_tasks.values, color='#5da2d8', label='Nonaffiliated returning authors', marker='o')\n", + "sns.lineplot(x=aff_new_tasks.index, y=aff_new_tasks.values, color='#c7756a',linestyle=\"dotted\", label=\"WMF-affiliated new authors\", marker='x')\n", + "sns.lineplot(x=unaff_new_tasks.index, y=unaff_new_tasks.values, color='#5da2d8', linestyle=\"dotted\", label=\"Nonaffiliated new authors\", marker='x')\n", "\n", "plt.title('New Phabricator Tasks Indexed with \"VisualEditor\"')\n", "plt.xlabel('Timestamp')\n", @@ -1227,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 61, "id": "b7cfad77-d48a-4708-91f3-89ae1179b90c", "metadata": {}, "outputs": [ @@ -1242,9 +493,19 @@ }, { "data": { - "image/png": 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", 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", 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", + "text/plain": [ + "
" ] }, "metadata": {}, @@ -1255,14 +516,26 @@ "comment_phab_df['before_after'] = comment_phab_df['timestamp'] > pd.Timestamp('2013-07-01 00:00:01+00:00')\n", "plt.figure(figsize=(10, 6))\n", "\n", - "sns.lmplot(data=comment_phab_df, x=\"date_created\", y=\"dominant_wc\", hue=\"before_after\", col=\"meta.affil\", scatter=False)\n", + "# Plot for dominant_wc\n", + "plot1 = sns.lmplot(data=comment_phab_df, x=\"date_created\", y=\"dominant_wc\", hue=\"before_after\", col=\"meta.affil\", scatter=False, legend=False)\n", + "plot1.set_axis_labels(\"Timestamp\", \"Dominant Word Count\")\n", + "plot1.set_titles(col_template=\"WMF Affiliation: {col_name}\")\n", + "plot1.fig.subplots_adjust(top=0.9) # Adjust subplots to make room for the title\n", + "#plot1.add_legend(title=\"Before/After 07/01/2013 Wide Release\")\n", + "plt.legend(title=\"Before/After 07/01/2013 Wide Release\", loc='upper center', bbox_to_anchor=(0, 1.25), ncol=2)\n", + "# Plot for arousal_wc\n", + "plot2 = sns.lmplot(data=comment_phab_df, x=\"date_created\", y=\"arousal_wc\", hue=\"before_after\", col=\"meta.affil\", scatter=False, legend=False)\n", + "plot2.set_axis_labels(\"Timestamp\", \"Arousal Word Count\")\n", + "plot2.set_titles(\"\")\n", + "#plot2.add_legend(title=\"Before/After 07/01/2013 Wide Release\")\n", "\n", + "# Show plots\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 80, "id": "d2d67d38-f005-4c94-be3c-39eb6b22686f", "metadata": {}, "outputs": [ @@ -1270,49 +543,33 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_49967/3455565877.py:2: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "/tmp/ipykernel_32320/1234247344.py:4: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", " filtered_dependencies = dependency_relations_df[dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", - "/tmp/ipykernel_49967/3455565877.py:3: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", + "/tmp/ipykernel_32320/1234247344.py:5: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n", " resolved_filtered_dependencies = resolved_dependency_relations_df[resolved_dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", - "/tmp/ipykernel_49967/3455565877.py:18: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", + "/tmp/ipykernel_32320/1234247344.py:20: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", " filtered_dependencies['week'] = filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:18: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/1234247344.py:20: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " filtered_dependencies['week'] = filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:37: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", + "/tmp/ipykernel_32320/1234247344.py:39: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n", " resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:37: SettingWithCopyWarning: \n", + "/tmp/ipykernel_32320/1234247344.py:39: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", - "/tmp/ipykernel_49967/3455565877.py:40: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", - " resolved_wmf_filtered_dependencies = resolved_filtered_dependencies[filtered_dependencies['wmfAffil'] == True]\n" - ] - }, - { - "ename": "IndexingError", - "evalue": "Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mIndexingError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[53], line 40\u001b[0m\n\u001b[1;32m 37\u001b[0m resolved_filtered_dependencies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mweek\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m resolved_filtered_dependencies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtimestamp\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mdt\u001b[38;5;241m.\u001b[39mto_period(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mW\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mdt\u001b[38;5;241m.\u001b[39mstart_time\n\u001b[1;32m 38\u001b[0m resolved_median_depth \u001b[38;5;241m=\u001b[39m resolved_filtered_dependencies\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mweek\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdepth\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mmedian()\u001b[38;5;241m.\u001b[39mreset_index()\n\u001b[0;32m---> 40\u001b[0m resolved_wmf_filtered_dependencies \u001b[38;5;241m=\u001b[39m \u001b[43mresolved_filtered_dependencies\u001b[49m\u001b[43m[\u001b[49m\u001b[43mfiltered_dependencies\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mwmfAffil\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m]\u001b[49m\n\u001b[1;32m 41\u001b[0m resolved_wmf_median_depth \u001b[38;5;241m=\u001b[39m resolved_wmf_filtered_dependencies\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mweek\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdepth\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mmedian()\u001b[38;5;241m.\u001b[39mreset_index()\n\u001b[1;32m 43\u001b[0m resolved_other_filtered_dependencies \u001b[38;5;241m=\u001b[39m resolved_filtered_dependencies[filtered_dependencies[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwmfAffil\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m]\n", - "File \u001b[0;32m/gscratch/scrubbed/mjilg/jupyter-notebook/lib/python3.9/site-packages/pandas/core/frame.py:4093\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4091\u001b[0m \u001b[38;5;66;03m# Do we have a (boolean) 1d indexer?\u001b[39;00m\n\u001b[1;32m 4092\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m com\u001b[38;5;241m.\u001b[39mis_bool_indexer(key):\n\u001b[0;32m-> 4093\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_bool_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4095\u001b[0m \u001b[38;5;66;03m# We are left with two options: a single key, and a collection of keys,\u001b[39;00m\n\u001b[1;32m 4096\u001b[0m \u001b[38;5;66;03m# We interpret tuples as collections only for non-MultiIndex\u001b[39;00m\n\u001b[1;32m 4097\u001b[0m is_single_key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28misinstance\u001b[39m(key, \u001b[38;5;28mtuple\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_list_like(key)\n", - "File \u001b[0;32m/gscratch/scrubbed/mjilg/jupyter-notebook/lib/python3.9/site-packages/pandas/core/frame.py:4149\u001b[0m, in \u001b[0;36mDataFrame._getitem_bool_array\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 4144\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mItem wrong length \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(key)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m instead of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindex)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 4145\u001b[0m )\n\u001b[1;32m 4147\u001b[0m \u001b[38;5;66;03m# check_bool_indexer will throw exception if Series key cannot\u001b[39;00m\n\u001b[1;32m 4148\u001b[0m \u001b[38;5;66;03m# be reindexed to match DataFrame rows\u001b[39;00m\n\u001b[0;32m-> 4149\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_bool_indexer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4151\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key\u001b[38;5;241m.\u001b[39mall():\n\u001b[1;32m 4152\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcopy(deep\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m)\n", - "File \u001b[0;32m/gscratch/scrubbed/mjilg/jupyter-notebook/lib/python3.9/site-packages/pandas/core/indexing.py:2662\u001b[0m, in \u001b[0;36mcheck_bool_indexer\u001b[0;34m(index, key)\u001b[0m\n\u001b[1;32m 2660\u001b[0m indexer \u001b[38;5;241m=\u001b[39m result\u001b[38;5;241m.\u001b[39mindex\u001b[38;5;241m.\u001b[39mget_indexer_for(index)\n\u001b[1;32m 2661\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01min\u001b[39;00m indexer:\n\u001b[0;32m-> 2662\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m IndexingError(\n\u001b[1;32m 2663\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnalignable boolean Series provided as \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2664\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindexer (index of the boolean Series and of \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2665\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mthe indexed object do not match).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 2666\u001b[0m )\n\u001b[1;32m 2668\u001b[0m result \u001b[38;5;241m=\u001b[39m result\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[1;32m 2670\u001b[0m \u001b[38;5;66;03m# fall through for boolean\u001b[39;00m\n", - "\u001b[0;31mIndexingError\u001b[0m: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match)." + " resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1320,7 +577,9 @@ } ], "source": [ - "pattern = r'\\b(ve|VE|visualeditor|VisualEditor)\\b'\n", + "#pattern = r'\\b(ve|VE|visualeditor|VisualEditor)\\b'\n", + "#pattern = r'\\b(WMF|Foundation)\\b'\n", + "#pattern = r'\\b(bots)\\b'\n", "filtered_dependencies = dependency_relations_df[dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", "resolved_filtered_dependencies = resolved_dependency_relations_df[resolved_dependency_relations_df['token'].str.contains(pattern, regex=True)]\n", "\n", @@ -1351,7 +610,7 @@ "sns.lineplot(data=median_depth, x='week', y='depth', ax=ax0, color='black', label='Median Depth', marker='o')\n", "sns.lineplot(data=wmf_median_depth, x='week', y='depth', ax=ax0, color='#c7756a', label='WMF-affiliated authors', marker='x')\n", "sns.lineplot(data=other_median_depth, x='week', y='depth', ax=ax0, color='#5da2d8', label='Nonaffiliated authors', marker='x')\n", - "ax0.set_title('Median Depth of VE in Phabricator Sentence Dependency Trees')\n", + "ax0.set_title('Median Depth of \"WMF\" in Phabricator Sentence Dependency Trees')\n", "ax0.set_ylabel('Median Depth')\n", "ax0.set_xlabel('')\n", "\n", @@ -1359,10 +618,10 @@ "resolved_filtered_dependencies['week'] = resolved_filtered_dependencies['timestamp'].dt.to_period('W').dt.start_time\n", "resolved_median_depth = resolved_filtered_dependencies.groupby('week')['depth'].median().reset_index()\n", "\n", - "resolved_wmf_filtered_dependencies = resolved_filtered_dependencies[filtered_dependencies['wmfAffil'] == True]\n", + "resolved_wmf_filtered_dependencies = resolved_filtered_dependencies[resolved_filtered_dependencies['wmfAffil'] == True]\n", "resolved_wmf_median_depth = resolved_wmf_filtered_dependencies.groupby('week')['depth'].median().reset_index()\n", "\n", - "resolved_other_filtered_dependencies = resolved_filtered_dependencies[filtered_dependencies['wmfAffil'] != True]\n", + "resolved_other_filtered_dependencies = resolved_filtered_dependencies[resolved_filtered_dependencies['wmfAffil'] != True]\n", "resolved_other_median_depth = resolved_other_filtered_dependencies.groupby('week')['depth'].median().reset_index()\n", "\n", "# Plot the median depth over time\n", @@ -1370,7 +629,7 @@ "sns.lineplot(data=resolved_median_depth, x='week', y='depth', ax=ax1, color='black', label='Median Depth', marker='o')\n", "sns.lineplot(data=resolved_wmf_median_depth, x='week', y='depth', ax=ax1, color='#c7756a', label='WMF-affiliated authors', marker='x')\n", "sns.lineplot(data=resolved_other_median_depth, x='week', y='depth', ax=ax1, color='#5da2d8', label='Nonaffiliated authors', marker='x')\n", - "ax1.set_title('Median Depth of VE in Coreference-resolved Phabricator Sentence Dependency Trees')\n", + "ax1.set_title('Median Depth of \"WMF\" in Coreference-resolved Phabricator Sentence Dependency Trees')\n", "ax1.set_ylabel('Median Depth')\n", "ax1.set_xlabel('')\n", "\n",