Python Pandas - 從有序類別索引中獲取最大值
要從有序類別索引中獲取最大值,請在 Pandas 中使用 catIndex.max() 方法。
首先,匯入必需的庫 −
import pandas as pd
使用“categories”引數設定類別類別的,使用“ordered”引數將類別視為有序類別 −
catIndex = pd.CategoricalIndex( ["p", "q", "r", "s","p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"] )
顯示類別索引 −
print("Categorical Index...\n",catIndex)獲取最大值 −
print("\nMaximum value from CategoricalIndex...\n",catIndex.max())示例
以下是程式碼 −
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 Categorical Index
print("Categorical Index...\n",catIndex)
# Get the categories
print("\nDisplaying Categories from CategoricalIndex...\n",catIndex.categories)
# Get the max value
print("\nMaximum value from CategoricalIndex...\n",catIndex.max())輸出
將生成以下輸出 −
Categorical Index... 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') Maximum value from CategoricalIndex... S
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