leetcode-problemset/leetcode/originData/patients-with-a-condition.json

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            "title": "Patients With a Condition",
            "titleSlug": "patients-with-a-condition",
            "content": "<p>Table: <code>Patients</code></p>\n\n<pre>\n+--------------+---------+\n| Column Name  | Type    |\n+--------------+---------+\n| patient_id   | int     |\n| patient_name | varchar |\n| conditions   | varchar |\n+--------------+---------+\npatient_id is the primary key (column with unique values) for this table.\n&#39;conditions&#39; contains 0 or more code separated by spaces. \nThis table contains information of the patients in the hospital.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the patient_id, patient_name, and conditions of the patients who have Type I Diabetes. Type I Diabetes always starts with <code>DIAB1</code> prefix.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The&nbsp;result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nPatients table:\n+------------+--------------+--------------+\n| patient_id | patient_name | conditions   |\n+------------+--------------+--------------+\n| 1          | Daniel       | YFEV COUGH   |\n| 2          | Alice        |              |\n| 3          | Bob          | DIAB100 MYOP |\n| 4          | George       | ACNE DIAB100 |\n| 5          | Alain        | DIAB201      |\n+------------+--------------+--------------+\n<strong>Output:</strong> \n+------------+--------------+--------------+\n| patient_id | patient_name | conditions   |\n+------------+--------------+--------------+\n| 3          | Bob          | DIAB100 MYOP |\n| 4          | George       | ACNE DIAB100 | \n+------------+--------------+--------------+\n<strong>Explanation:</strong> Bob and George both have a condition that starts with DIAB1.\n</pre>\n",
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            "exampleTestcases": "{\"headers\": {\"Patients\": [\"patient_id\", \"patient_name\", \"conditions\"]}, \"rows\": {\"Patients\": [[1, \"Daniel\", \"YFEV COUGH\"], [2, \"Alice\", \"\"], [3, \"Bob\", \"DIAB100 MYOP\"], [4, \"George\", \"ACNE DIAB100\"], [5, \"Alain\", \"DIAB201\"]]}}",
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                    "lang": "Oracle",
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                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef find_patients(patients: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
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            "sampleTestCase": "{\"headers\": {\"Patients\": [\"patient_id\", \"patient_name\", \"conditions\"]}, \"rows\": {\"Patients\": [[1, \"Daniel\", \"YFEV COUGH\"], [2, \"Alice\", \"\"], [3, \"Bob\", \"DIAB100 MYOP\"], [4, \"George\", \"ACNE DIAB100\"], [5, \"Alain\", \"DIAB201\"]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Patients (patient_id int, patient_name varchar(30), conditions varchar(100))\"], \"mssql\": [\"Create table Patients (patient_id int, patient_name varchar(30), conditions varchar(100))\"], \"oraclesql\": [\"Create table Patients (patient_id int, patient_name varchar(30), conditions varchar(100))\"], \"database\": true, \"name\": \"find_patients\", \"pythondata\": [\"Patients = pd.DataFrame([], columns=['patient_id', 'patient_name', 'conditions']).astype({'patient_id':'int64', 'patient_name':'object', 'conditions':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Patients (patient_id int, patient_name varchar(30), conditions varchar(100))\"], \"database_schema\": {\"Patients\": {\"patient_id\": \"INT\", \"patient_name\": \"VARCHAR(30)\", \"conditions\": \"VARCHAR(100)\"}}}",
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            "mysqlSchemas": [
                "Create table If Not Exists Patients (patient_id int, patient_name varchar(30), conditions varchar(100))",
                "Truncate table Patients",
                "insert into Patients (patient_id, patient_name, conditions) values ('1', 'Daniel', 'YFEV COUGH')",
                "insert into Patients (patient_id, patient_name, conditions) values ('2', 'Alice', '')",
                "insert into Patients (patient_id, patient_name, conditions) values ('3', 'Bob', 'DIAB100 MYOP')",
                "insert into Patients (patient_id, patient_name, conditions) values ('4', 'George', 'ACNE DIAB100')",
                "insert into Patients (patient_id, patient_name, conditions) values ('5', 'Alain', 'DIAB201')"
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