Python Pandas - 从有序类别索引中获取最小值
要从有序类别索引中获取最小值,请在 Pandas 中使用 **catIndex.min()** 方法。首先,导入所需的库 -
import pandas as pd
使用“categories”参数为类别设置类别。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"] )
显示类别索引 -
print("Categorical Index...\n",catIndex)获取最小值 -
print("\nMinimum value from CategoricalIndex...\n",catIndex.min())范例
以下是代码 -
import pandas as pd
# CategoricalIndex is the Index based on an underlying Categorical
# 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("\nDisplayingCategories from CategoricalIndex...\n",catIndex.categories)
# Get the min value
print("\nMinimum value from CategoricalIndex...\n",catIndex.min())输出
将产生以下输出 -
Categorical Index... 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') Minimum value from CategoricalIndex... P
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