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

更新於: 2021-10-14

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