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,)