Python Pandas - 使用索引运算符创建子集数据框
pythonserver side programmingprogramming更新于 2025/10/28 0:12:17
索引运算符是用于创建子集数据框的方括号。让我们首先创建一个 Pandas 数据框。 DataFrame 中有 3 列
dataFrame = pd.DataFrame({"Product": ["SmartTV", "ChromeCast", "Speaker", "Earphone"],"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})
创建具有单个列的子集
dataFrame[['Product']]
创建具有多个列的子集
dataFrame[['Opening_Stock','Closing_Stock']]
示例
以下是完整代码
import pandas as pd
dataFrame = pd.DataFrame({"Product": ["SmartTV", "ChromeCast", "Speaker", "Earphone"],"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})
print"DataFrame...\n",dataFrame
print"\nDisplaying a subset using indexing operator:\n",dataFrame[['Product']]
print"\nDisplaying a subset with multiple columns:\n",dataFrame[['Opening_Stock','Closing_Stock']]
输出
这将产生以下输出
DataFrame... Closing_Stock Opening_Stock Product 0 200 300 SmartTV 1 500 700 ChromeCast 2 1000 1200 Speaker 3 900 1500 Earphone Displaying a subset using indexing operator: Product 0 SmartTV 1 ChromeCast 2 Speaker 3 Earphone Displaying a subset with multiple columns: Opening_Stock Closing_Stock 0 300 200 1 700 500 2 1200 1000 3 1500 900
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有用资源
python 参考教程 - 该教程包含有关 python 的更多信息:https://www.cainiaomax.com/python/
