--- title: "dataframe-quick-inspection-helper (tc)" description: 快速檢查 DataFrame：head()、tail()、info()、describe() 四個方法。 url: "https://aaronchan.com/zh/kb/dataframe-quick-inspection-helper/" updated: "2026-09-15" category: "Code-Python (tc)" tags: - python --- # dataframe-quick-inspection-helper (tc) 拿到一個 DataFrame，想快速知道它大概長怎樣，用這 4 個方法，一行就看得到。先準備一個 8 行的例子： Copy ``` import pandas as pd df = pd.DataFrame({ "name": ["Alice", "Bob", "Carol", "Dave", "Eve", "Frank", "Grace", "Heidi"], "dept": ["IT", "IT", "HR", "HR", "IT", "HR", "IT", "HR"], "salary": [5000, 6000, 5500, 5200, 7000, 5800, 6200, 5400], }) ``` ## Example 1：head() — 看頭幾行 Copy ``` df.head() ``` **output:** ``` name dept salary 0 Alice IT 5000 1 Bob IT 6000 2 Carol HR 5500 3 Dave HR 5200 4 Eve IT 7000 ``` --- ## Example 2：tail() — 看尾幾行 Copy ``` df.tail() ``` **output:** ``` name dept salary 3 Dave HR 5200 4 Eve IT 7000 5 Frank HR 5800 6 Grace IT 6200 7 Heidi HR 5400 ``` --- ## Example 3：info() — 看欄位類型 Copy ``` df.info() ``` **output:** ``` RangeIndex: 8 entries, 0 to 7 Data columns (total 3 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 name 8 non-null str 1 dept 8 non-null str 2 salary 8 non-null int64 dtypes: int64(1), str(2) memory usage: 324.0 bytes ``` --- ## Example 4：describe() — 看數字欄統計 Copy ``` df.describe() ``` **output:** ``` salary count 8.000000 mean 5762.500000 std 641.287767 min 5000.000000 25% 5350.000000 50% 5650.000000 75% 6050.000000 max 7000.000000 ```