Method Chaining
<pre>
DataFrame <code>animals</code>
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| name        | object |
| species     | object |
| age         | int    |
| weight      | int    |
+-------------+--------+
</pre>

<p>Write a solution to list the names of animals that weigh <strong>strictly more than</strong> <code>100</code> kilograms.</p>

<p>Return the&nbsp;animals sorted by weight in <strong>descending order</strong>.</p>

<p>The result format is in the following example.</p>

<p>&nbsp;</p>
<p><strong>Example 1:</strong></p>

<pre>
<strong>Input:</strong> 
DataFrame animals:
+----------+---------+-----+--------+
| name     | species | age | weight |
+----------+---------+-----+--------+
| Tatiana  | Snake   | 98  | 464    |
| Khaled   | Giraffe | 50  | 41     |
| Alex     | Leopard | 6   | 328    |
| Jonathan | Monkey  | 45  | 463    |
| Stefan   | Bear    | 100 | 50     |
| Tommy    | Panda   | 26  | 349    |
+----------+---------+-----+--------+
<strong>Output:</strong> 
+----------+
| name     |
+----------+
| Tatiana  |
| Jonathan |
| Tommy    |
| Alex     |
+----------+
<strong>Explanation:</strong> 
All animals weighing more than 100 should be included in the results table.
Tatiana&#39;s weight is 464, Jonathan&#39;s weight is 463, Tommy&#39;s weight is 349, and Alex&#39;s weight is 328.
The results should be sorted in descending order of weight.</pre>

<p>&nbsp;</p>
<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>

<p>Can you complete this&nbsp;task in just <strong>one line </strong>of code using method chaining?</p>

[]
[]
[{"value": "pythondata", "text": "Pandas", "defaultCode": "import pandas as pd\n\ndef findHeavyAnimals(animals: pd.DataFrame) -> pd.DataFrame:\n    "}]
{
  "pythondata": [
    "animals = pd.DataFrame([], columns=['name', 'species', 'age', 'weight']).astype({'name':'object', 'species':'object', 'age':'Int64', 'weight':'Int64'})"
  ],
  "database": true,
  "name": "findHeavyAnimals",
  "languages": [
    "pythondata"
  ]
}
{"pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"]}
[]