Python Pandas - 从有序 CategoricalIndex 中获取最小值

要从OrderedCategoricalIndex中获取最小值，请使用Pandas中的方法。首先，导入所需的库-catIndex.min()

import pandas as pd

使用“categories”参数设置分类的类别。使用“ordered”参数按顺序处理分类-

catIndex = pd.CategoricalIndex( ["p", "q", "r", "s","p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"] )

显示分类索引-

print("Categorical Index...\n",catIndex)

获取最小值-

print("\nMinimum value from CategoricalIndex...\n",catIndex.min())

示例

以下是代码-

import pandas as pd #CategoricalIndex是基于基础CategoricalIndex的指数 # Set the categories for the categorical using the "categories" parameter # Treat the categorical as ordered using the "ordered" parameter catIndex = pd.CategoricalIndex( ["p", "q", "r", "s","p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"] ) #显示分类索引 print("Categorical Index...\n",catIndex) #获取类别 print("\nDisplayingCategories from CategoricalIndex...\n",catIndex.categories) #获取最小值 print("\nMinimum value from CategoricalIndex...\n",catIndex.min())输出结果

这将产生以下输出-

Categorical Index... CategoricalIndex([p, q, r, s, p, q, r, s], categories=[p, q, r, s], ordered=True, dtype=category) DisplayingCategories from CategoricalIndex... Index([p, q, r, s], dtype=object) Minimum value from CategoricalIndex... P