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46 lines
1.7 KiB
HTML
46 lines
1.7 KiB
HTML
<pre>
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DataFrame <code>players:</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| player_id | int |
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| name | object |
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| age | int |
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| position | object |
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| ... | ... |
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+-------------+--------+
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</pre>
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<p>Write a solution to calculate and display the <strong>number of rows and columns</strong> of <code>players</code>.</p>
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<p>Return the result as an array:</p>
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<p><code>[number of rows, number of columns]</code></p>
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<p>The result format is in the following example.</p>
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<p> </p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:
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</strong>+-----------+----------+-----+-------------+--------------------+
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| player_id | name | age | position | team |
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+-----------+----------+-----+-------------+--------------------+
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| 846 | Mason | 21 | Forward | RealMadrid |
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| 749 | Riley | 30 | Winger | Barcelona |
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| 155 | Bob | 28 | Striker | ManchesterUnited |
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| 583 | Isabella | 32 | Goalkeeper | Liverpool |
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| 388 | Zachary | 24 | Midfielder | BayernMunich |
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| 883 | Ava | 23 | Defender | Chelsea |
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| 355 | Violet | 18 | Striker | Juventus |
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| 247 | Thomas | 27 | Striker | ParisSaint-Germain |
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| 761 | Jack | 33 | Midfielder | ManchesterCity |
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| 642 | Charlie | 36 | Center-back | Arsenal |
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+-----------+----------+-----+-------------+--------------------+<strong>
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Output:
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</strong>[10, 5]
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<strong>Explanation:</strong>
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This DataFrame contains 10 rows and 5 columns.
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</pre>
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