存量题库数据更新

leetcode/originData/get-the-size-of-a-dataframe.json

@@ -11,12 +11,12 @@
             "translatedContent": null,
             "isPaidOnly": false,
             "difficulty": "Easy",
-            "likes": 5,
-            "dislikes": 2,
+            "likes": 42,
+            "dislikes": 6,
             "isLiked": null,
             "similarQuestions": "[]",
             "exampleTestcases": "{\"headers\":{\"players\":[\"player_id\",\"name\",\"age\",\"position\",\"team\"]},\"rows\":{\"players\":[[846,\"Mason\",21,\"Forward\",\"RealMadrid\"],[749,\"Riley\",30,\"Winger\",\"Barcelona\"],[155,\"Bob\",28,\"Striker\",\"ManchesterUnited\"],[583,\"Isabella\",32,\"Goalkeeper\",\"Liverpool\"],[388,\"Zachary\",24,\"Midfielder\",\"BayernMunich\"],[883,\"Ava\",23,\"Defender\",\"Chelsea\"],[355,\"Violet\",18,\"Striker\",\"Juventus\"],[247,\"Thomas\",27,\"Striker\",\"ParisSaint-Germain\"],[761,\"Jack\",33,\"Midfielder\",\"ManchesterCity\"],[642,\"Charlie\",36,\"Center-back\",\"Arsenal\"]]}}",
-            "categoryTitle": "Algorithms",
+            "categoryTitle": "pandas",
             "contributors": [],
             "topicTags": [],
             "companyTagStats": null,
@@ -28,7 +28,7 @@
                     "__typename": "CodeSnippetNode"
                 }
             ],
-            "stats": "{\"totalAccepted\": \"370\", \"totalSubmission\": \"421\", \"totalAcceptedRaw\": 370, \"totalSubmissionRaw\": 421, \"acRate\": \"87.9%\"}",
+            "stats": "{\"totalAccepted\": \"15.2K\", \"totalSubmission\": \"18.2K\", \"totalAcceptedRaw\": 15192, \"totalSubmissionRaw\": 18175, \"acRate\": \"83.6%\"}",
             "hints": [
                 "Consider using a built-in function in pandas library to get the size of a DataFrame."
             ],
@@ -48,7 +48,7 @@
             "mysqlSchemas": [],
             "enableRunCode": true,
             "enableTestMode": false,
-            "enableDebugger": true,
+            "enableDebugger": false,
             "envInfo": "{\"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"]}",
             "libraryUrl": null,
             "adminUrl": null,