Python Pandas - 没有 NaN 值的返回索引

要返回没有NaN值的Index，请使用Pandas中的方法。首先，导入所需的库-index.dropna()

import pandas as pd import numpy as np

使用一些NaN值创建Pandas索引-

index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30])

显示熊猫指数-

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

仅删除NaN值-

print("\nThe Index object after removing NaN values...\n",index.dropna())

示例

以下是代码-

import pandas as pd import numpy as np #还使用一些NaN值创建Pandas索引 index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30]) #显示Pandas索引 print("Pandas Index...\n",index) #返回索引中的元素数 print("\nNumber of elements in the index...\n",index.size) #返回数据的dtype print("\nThe dtype object...\n",index.dtype) #仅删除NaN值 print("\nThe Index object after removing NaN values...\n",index.dropna())输出结果

这将产生以下输出-

Pandas Index... Float64Index([50.0, 10.0, 70.0, nan, 90.0, 50.0, nan, nan, 30.0], dtype=float64) Number of elements in the index... 9 The dtype object... float64 The Index object after removing NaN values... Float64Index([50.0, 10.0, 70.0, 90.0, 50.0, 30.0], dtype=float64)