leetcode-problemset/leetcode/originData/method-chaining.json

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            "title": "Method Chaining",
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            "content": "<pre>\nDataFrame <code>animals</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| name        | object |\n| species     | object |\n| age         | int    |\n| weight      | int    |\n+-------------+--------+\n</pre>\n\n<p>Write a solution to list the names of animals that weigh <strong>strictly more than</strong> <code>100</code> kilograms.</p>\n\n<p>Return the&nbsp;animals sorted by weight in <strong>descending order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nDataFrame animals:\n+----------+---------+-----+--------+\n| name     | species | age | weight |\n+----------+---------+-----+--------+\n| Tatiana  | Snake   | 98  | 464    |\n| Khaled   | Giraffe | 50  | 41     |\n| Alex     | Leopard | 6   | 328    |\n| Jonathan | Monkey  | 45  | 463    |\n| Stefan   | Bear    | 100 | 50     |\n| Tommy    | Panda   | 26  | 349    |\n+----------+---------+-----+--------+\n<strong>Output:</strong> \n+----------+\n| name     |\n+----------+\n| Tatiana  |\n| Jonathan |\n| Tommy    |\n| Alex     |\n+----------+\n<strong>Explanation:</strong> \nAll animals weighing more than 100 should be included in the results table.\nTatiana&#39;s weight is 464, Jonathan&#39;s weight is 463, Tommy&#39;s weight is 349, and Alex&#39;s weight is 328.\nThe results should be sorted in descending order of weight.</pre>\n\n<p>&nbsp;</p>\n<p>In Pandas, <strong>method chaining</strong> enables us to&nbsp;perform operations on a DataFrame without breaking up each operation into a separate line or creating multiple temporary variables.&nbsp;</p>\n\n<p>Can you complete this&nbsp;task in just <strong>one line </strong>of code using method chaining?</p>\n",
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            "exampleTestcases": "{\"headers\":{\"animals\":[\"name\",\"species\",\"age\",\"weight\"]},\"rows\":{\"animals\":[[\"Tatiana\",\"Snake\",98,464],[\"Khaled\",\"Giraffe\",50,41],[\"Alex\",\"Leopard\",6,328],[\"Jonathan\",\"Monkey\",45,463],[\"Stefan\",\"Bear\",100,50],[\"Tommy\",\"Panda\",26,349]]}}",
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                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef findHeavyAnimals(animals: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "sampleTestCase": "{\"headers\":{\"animals\":[\"name\",\"species\",\"age\",\"weight\"]},\"rows\":{\"animals\":[[\"Tatiana\",\"Snake\",98,464],[\"Khaled\",\"Giraffe\",50,41],[\"Alex\",\"Leopard\",6,328],[\"Jonathan\",\"Monkey\",45,463],[\"Stefan\",\"Bear\",100,50],[\"Tommy\",\"Panda\",26,349]]}}",
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