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法律學Python Pandas CategoricalIndex - 新增新的型別
如要新增新型別，請在 Pandas 中使用 CategoricalIndex add_categories() 方法。首先，匯入必需的庫 −
import pandas as pd
使用 "categories" 引數為型別設定型別。使用 "ordered" 引數將型別視為有序型別 −
catIndex = pd.CategoricalIndex(["p", "q", "r", "s","p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])
顯示 CategoricalIndex −
print("CategoricalIndex...\n",catIndex)
使用 add_categories() 新增新型別。將新型別作為一個引數設定。新型別將包含在型別中的最後/最高位置 −
print("\nCategoricalIndex after adding new categories...\n",catIndex.add_categories(["a", "b", "c", "d"]))示例
以下為程式碼 −
import pandas as pd
# CategoricalIndex can only take on a limited, and usually fixed, number of possible values (categories
# 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)
# Add new categories using add_categories()
# Set the new categories as a parameter
# The new categories will be included at the last/highest place in the categories
print("\nCategoricalIndex after adding new categories...\n",catIndex.add_categories(["a", "b", "c", "d"]))輸出
這將生成以下輸出 −
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 adding new categories... CategoricalIndex(['p', 'q', 'r', 's', 'p', 'q', 'r', 's'], categories=['p', 'q', 'r', 's', 'a', 'b', 'c', 'd'], ordered=True, dtype='category')
更新於: 18-Oct-2021
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