Python Pandas - 检查索引是否有 NaN

要检查索引是否有NaN，请使用Pandas中的index.hasnans属性。

首先，导入所需的库-

import pandas as pd import numpy as np

创建索引。对于NaN，我们使用了numpy库-

index = pd.Index([Car,Bike, np.nan,Car,np.nan, Ship])

显示索引-

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

检查索引是否有NaN-

print("\nIs the Pandas index having NaNs?\n",index.hasnans)

示例

以下是代码-

import pandas as pd import numpy as np #创建索引 #对于NaN，我们使用了numpy库 index = pd.Index([Car,Bike, np.nan,Car,np.nan, Ship]) #显示索引 print("Pandas Index...\n",index) #返回一个表示索引中数据的数组 print("\nArray...\n",index.values) #检查索引是否有NaN print("\nIs the Pandas index having NaNs?\n",index.hasnans) #返回基础数据形状的元组 print("\nA tuple of the shape of underlying data...\n",index.shape)输出结果

这将产生以下代码-

Pandas Index... Index([Car, Bike, nan, Car, nan, Ship], dtype=object) Array... [Car Bike nan Car nan Ship] Is the Pandas index having NaNs? True A tuple of the shape of underlying data... (6,)