Python Pandas CategoricalIndex - 使用类似 dict 的新类别重命名类别
要使用类似dict的新类别重命名类别，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“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("CategoricalIndex...\n",catIndex)重命名类别。设置将替换旧类别的新的类似dict的类别
print("\nCategoricalIndex after renaming categories...\n",catIndex.rename_categories({'p': 5, 'q': 10, 'r': 15, 's': 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
# 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("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories)
#重命名类别
#设置将替换旧类别的新的类似dict的类别
print("\nCategoricalIndex after renaming categories...\n",
catIndex.rename_categories({'p': 5, 'q': 10, 'r': 15, 's': 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') Displaying Categories 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')