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法律研究Python Pandas CategoricalIndex - 重命名类别
要重命名类别，请在 Pandas 中使用 CategoricalIndex rename_categories() 方法。首先，导入所需的函数库 -
import pandas as pd
CategoricalIndex 只接受有限的且通常是固定的可能值。使用 “categories” 参数设置相应类别的类别。使用 “ordered” 参数将类别视为有序 -
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类别的类别 -
print("\nCategoricalIndex after renaming categories...\n",catIndex.rename_categories([5, 10, 15, 20]))
范例
以下是代码 -
import pandas as pd
# CategoricalIndex can only take on a limited, and usually fixed, number of possible values
# 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"])
# Display the CategoricalIndex
print("CategoricalIndex...\n",catIndex)
# Get the categories
print("\nDisplayingCategories from CategoricalIndex...\n",catIndex.categories)
# Rename categories
# Set the new categories that will replace the old categories
print("\nCategoricalIndex after renaming categories...\n",catIndex.rename_categories([5, 10, 15, 20]))输出
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')
更新于：2021/10/18
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