Python – 检查Pandas索引是否为浮点类型

要检查Pandas索引是否为浮点类型，请使用Pandas中的 index.is_floating() 方法。首先导入所需的库 –

import pandas as pd

创建Pandas索引−

index = pd.Index([5.7, 6.8, 10.5, 20.4, 25.6, 30.8, 40.5, 50.2])

显示Pandas索引−

print("Pandas Index...\n", index)

检查索引值是否仅为浮点数−

print("\nIndex values only consists of floats?\n", index.is_floating())

更多Pandas相关文章，请阅读：Pandas 教程

例子

以下是代码−

import pandas as pd

# 创建Pandas索引
index = pd.Index([5.7, 6.8, 10.5, 20.4, 25.6, 30.8, 40.5, 50.2])

# 显示Pandas索引
print("Pandas Index...\n", index)

# 返回索引中的元素数量
print("\nNumber of elements in the index...\n", index.size)

# 返回数据的dtype
print("\nThe dtype object...\n", index.dtype)

# 检查索引值是否仅为浮点数
print("\nIndex values only consists of floats?\n", index.is_floating())

输出

这将产生以下输出−

Pandas Index...
Float64Index([5.7, 6.8, 10.5, 20.4, 25.6, 30.8, 40.5, 50.2], dtype='float64')

Number of elements in the index...
8

The dtype object...
float64

Index values only consists of floats?
True