Python Pandas CategoricalIndex - 重命名类别

要重命名类别，请使用rename_categories()Pandas中的CategoricalIndex方法。首先，导入所需的库-

import pandas as pd

CategoricalIndex只能采用有限且通常是固定数量的可能值。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"])

重命名类别。设置将替换旧类别的新类别-

print("\nCategoricalIndex after renaming categories...\n",catIndex.rename_categories([5, 10, 15, 20]))

示例

以下是代码-

import pandas as pd #CategoricalIndex只能采用有限且通常是固定数量的可能值 # 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("CategoricalIndex...\n",catIndex) #获取类别 print("\nDisplayingCategories from CategoricalIndex...\n",catIndex.categories) #重命名类别 #设置将替换旧类别的新类别 print("\nCategoricalIndex after renaming categories...\n",catIndex.rename_categories([5, 10, 15, 20]))输出结果

这将产生以下输出-

CategoricalIndex... 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) CategoricalIndex after renaming categories... CategoricalIndex([5, 10, 15, 20, 5, 10, 15, 20], categories=[5, 10, 15, 20], ordered=True, dtype=category)